Authors
Readership: Wellbeing Metrics
610
Authors
610
Total Papers
1.0
Avg Papers/Author
610 authors
| Author | Papers | Citations | h-index | Top Themes | Countries |
|---|---|---|---|---|---|
| Cara C. Lewis | 1 / 5 | 8 | 2 | social care integration, primary care, community resource specialists | USA |
| Michael D. Pullmann | 1 / 2 | 11 | 1 | social care integration, primary care, community resource specialists | USA |
| Clarissa Hsu | 1 | — | — | social care integration, primary care, community resource specialists | USA |
| Consuelo Norris | 1 | — | — | social care integration, primary care, community resource specialists | USA |
| Jessica Mogk | 1 | — | — | social care integration, primary care, community resource specialists | USA |
| Roy E Pardee | 1 / 2 | 1 | 1 | social care integration, primary care, community resource specialists | USA |
| Callie Walsh-Bailey | 1 / 46 | 1,397 | 16 | social care integration, primary care, community resource specialists | USA |
| Emily O. Westbrook | 1 / 3 | 3 | 1 | social care integration, primary care, community resource specialists | USA |
| Amy Lee | 1 | — | — | social care integration, primary care, community resource specialists | USA |
| Jessica Ridpath | 1 | — | — | social care integration, primary care, community resource specialists | USA |
| Cindee DeWitt | 1 | — | — | social care integration, primary care, community resource specialists | USA |
| Ammarah Mahmud | 1 / 5 | 3 | 1 | social care integration, primary care, community resource specialists | USA |
| Katie Coleman | 1 | — | — | social care integration, primary care, community resource specialists | USA |
| Paula Lozano | 1 / 2 | 51 | 2 | social care integration, primary care, community resource specialists | USA |
| Mitali Bhachech | 1 | — | — | cultural safety, physiotherapy, patient outcomes | IND |
| Prithvi Gajera | 1 | — | — | cultural safety, physiotherapy, patient outcomes | IND |
| Mansi Shukla | 1 | — | — | cultural safety, physiotherapy, patient outcomes | IND |
| S. Ruotsalainen | 1 / 15 | 95 | 4 | home care nursing, time pressure, team autonomy | FIN |
| Visa Väisänen | 1 / 13 | 23 | 2 | home care nursing, time pressure, team autonomy | FIN |
| L. Corneliusson | 1 / 3 | 13 | 1 | home care nursing, time pressure, team autonomy | FIN |
| Tiina Pesonen | 1 / 13 | 27 | 3 | home care nursing, time pressure, team autonomy | FIN |
| J. Sulander | 1 / 8 | 56 | 3 | home care nursing, time pressure, team autonomy | FIN |
| Timo Sinervo | 1 / 16 | 41 | 3 | home care nursing, time pressure, team autonomy | FIN |
| Woojin Jung | 1 / 2 | 1 | 1 | poverty metrics, social media discourse, emerging economies | ZMB |
| Andrew H. Kim | 1 | — | — | poverty metrics, social media discourse, emerging economies | ZMB |
| Charles Chear | 1 | — | — | poverty metrics, social media discourse, emerging economies | ZMB |
| Vatsal Shah | 1 / 2 | 1 | 1 | poverty metrics, social media discourse, emerging economies | ZMB |
| Ying Hung | 1 | — | — | poverty metrics, social media discourse, emerging economies | ZMB |
| Tawfiq Ammari | 1 / 42 | 1,445 | 16 | poverty metrics, social media discourse, emerging economies | ZMB |
| Nur Azmina Paslan | 1 / 9 | 1 | 1 | educational counselling, mental health, student success | USA, IND, NLD |
| Mohd Fadzil Abdul Hanid | 1 / 17 | 122 | 4 | educational counselling, mental health, student success | USA, IND, NLD |
| Fauziah Zaiden | 1 / 5 | 5 | 2 | educational counselling, mental health, student success | USA, IND, NLD |
| Salmalina Salleh | 1 / 13 | 39 | 2 | educational counselling, mental health, student success | USA, IND, NLD |
| Nur Fatihah Raimi | 1 | — | — | educational counselling, mental health, student success | USA, IND, NLD |
| Okoro Felix Olu | 1 | — | — | psychosocial stress, correctional officers, gender discrimination | NGA |
| Oyibo Rita Uzezi | 1 | — | — | psychosocial stress, correctional officers, gender discrimination | NGA |
| Carlos Mesa Castrillon | 1 | — | — | farm safety, health indicators, agriculture | |
| Kerri-Lynn Peachey | 1 / 13 | 40 | 3 | farm safety, health indicators, agriculture | |
| Lisa Harrison | 1 | — | — | farm safety, health indicators, agriculture | |
| R. Franklin | 1 / 25 | 27 | 3 | farm safety, health indicators, agriculture | |
| David Lyle | 1 | — | — | farm safety, health indicators, agriculture | |
| Tony Lower | 1 / 5 | 12 | 1 | farm safety, health indicators, agriculture | |
| Esther Ompong | 1 | — | — | human resource policies, crisis management, workforce stability | USA |
| Matthew Oman-Amoako | 1 | — | — | human resource policies, crisis management, workforce stability | USA |
| Melpo Pittara | 1 / 9 | 127 | 4 | pain assessment, machine learning, facial recognition | |
| Andreas Anastasiou | 1 | — | — | pain assessment, machine learning, facial recognition | |
| Konstantinos Andreou | 1 | — | — | pain assessment, machine learning, facial recognition | |
| Maria Matsangidou | 1 / 47 | 770 | 16 | pain assessment, machine learning, facial recognition | |
| A. Panayides | 1 / 91 | 1,661 | 20 | pain assessment, machine learning, facial recognition | |
| Nicolai Petkov | 1 | — | — | pain assessment, machine learning, facial recognition | |
| Constantinos S. Pattichis | 1 / 32 | 151 | 8 | pain assessment, machine learning, facial recognition | |
| Jiaojiao Tai | 1 / 13 | 163 | 5 | acute kidney injury, total hip arthroplasty, personalized risk prediction | |
| Linbang Wang | 1 / 10 | 22 | 3 | acute kidney injury, total hip arthroplasty, personalized risk prediction | |
| Yang Li | 1 / 2 | — | — | acute kidney injury, total hip arthroplasty, personalized risk prediction | |
| Mingxin Chen | 1 | — | — | acute kidney injury, total hip arthroplasty, personalized risk prediction | |
| Ziqiang Yan | 1 / 6 | 4 | 2 | acute kidney injury, total hip arthroplasty, personalized risk prediction | |
| Jingkun Liu | 1 / 18 | 181 | 6 | acute kidney injury, total hip arthroplasty, personalized risk prediction | |
| Wenlong Yan | 1 | — | — | robot navigation, social interaction, crowded environments | |
| Li He | 1 / 4 | 1 | 1 | robot navigation, social interaction, crowded environments | |
| Hongwei Wang | 1 / 7 | 6 | 2 | robot navigation, social interaction, crowded environments | |
| Zhening Liu | 1 / 4 | 16 | 2 | robot navigation, social interaction, crowded environments | |
| Zhiyuan Li | 1 / 3 | 3 | 1 | robot navigation, social interaction, crowded environments | |
| Yangjun Du | 1 | 1 | 1 | robot navigation, social interaction, crowded environments | |
| Qinglin Zhao | 1 / 68 | 1,175 | 19 | Wearable EEG Sensors, Spiking Neural Networks, Depression Classification | |
| Lixin Zhang | 1 / 9 | 29 | 2 | Wearable EEG Sensors, Spiking Neural Networks, Depression Classification | |
| Haojie Zhang | 1 / 20 | 63 | 5 | Wearable EEG Sensors, Spiking Neural Networks, Depression Classification | |
| Hua Jiang | 1 / 14 | 86 | 5 | Wearable EEG Sensors, Spiking Neural Networks, Depression Classification | |
| Kunbo Cui | 1 / 9 | 6 | 2 | Wearable EEG Sensors, Spiking Neural Networks, Depression Classification | |
| Zhongqing Wu | 1 / 5 | 3 | 1 | Wearable EEG Sensors, Spiking Neural Networks, Depression Classification | |
| Jingyu Liu | 1 / 22 | 110 | 7 | Wearable EEG Sensors, Spiking Neural Networks, Depression Classification | |
| Mingqi Zhao | 1 / 11 | 13 | 2 | Wearable EEG Sensors, Spiking Neural Networks, Depression Classification | |
| Fuze Tian | 1 / 38 | 408 | 9 | Wearable EEG Sensors, Spiking Neural Networks, Depression Classification | |
| Bin Hu | 1 / 7 | 5 | 2 | Wearable EEG Sensors, Spiking Neural Networks, Depression Classification | |
| Taruna Sharma | 1 / 3 | — | — | river health, AI framework, environmental governance | |
| Priyansha Sachdev | 1 / 2 | — | — | river health, AI framework, environmental governance | |
| Minghui Zhang | 1 | — | — | Building Energy Management Systems, Artificial Intelligence, Deep Reinforcement Learning | |
| Minhao Liu | 1 | — | — | Building Energy Management Systems, Artificial Intelligence, Deep Reinforcement Learning | |
| Hao Wang | 1 / 20 | 332 | 10 | Building Energy Management Systems, Artificial Intelligence, Deep Reinforcement Learning | |
| Yang Wen | 1 | — | — | Building Energy Management Systems, Artificial Intelligence, Deep Reinforcement Learning | |
| A-li Luo | 1 / 17 | 52 | 3 | Building Energy Management Systems, Artificial Intelligence, Deep Reinforcement Learning | |
| Yanru Zhang | 1 / 8 | 13 | 2 | Building Energy Management Systems, Artificial Intelligence, Deep Reinforcement Learning | |
| Chris Schilling | 1 | — | — | health economics, palliative care, policy development | AUS |
| Cate Bailey | 1 | — | — | health economics, palliative care, policy development | AUS |
| Katharina Merollini | 1 | — | — | health economics, palliative care, policy development | AUS |
| Alison Giles | 1 | — | — | health economics, palliative care, policy development | AUS |
| Cara Platts | 1 | — | — | health economics, palliative care, policy development | AUS |
| David C. Currow | 1 / 22 | 265 | 9 | health economics, palliative care, policy development | AUS |
|
Elise Button
|
1 | — | — | health economics, palliative care, policy development | AUS |
| F. Runacres | 1 / 26 | 208 | 8 | health economics, palliative care, policy development | AUS |
| Gregory B. Crawford | 1 | — | — | health economics, palliative care, policy development | AUS |
| Gregory Merlo | 1 | — | — | health economics, palliative care, policy development | AUS |
| J. Yoong | 1 / 39 | 533 | 10 | health economics, palliative care, policy development | AUS |
| Jennifer Philip | 1 / 4 | 1 | 1 | health economics, palliative care, policy development | AUS |
| J. Tieman | 1 / 12 | 13 | 2 | health economics, palliative care, policy development | AUS |
| Meera R. Agar | 1 / 10 | 14 | 2 | health economics, palliative care, policy development | AUS |
| Patsy Yates | 1 / 5 | 92 | 2 | health economics, palliative care, policy development | AUS |
| Peter Hudson | 1 / 4 | 1 | 1 | health economics, palliative care, policy development | AUS |
| V. Sundararajan | 1 / 277 | 23,008 | 44 | health economics, palliative care, policy development | AUS |
| Hannah Carter | 1 | — | — | health economics, palliative care, policy development | AUS |
| Nikki McCaffrey | 1 / 3 | 56 | 3 | health economics, palliative care, policy development | AUS |
| H. Benzian | 1 / 63 | 3,359 | 15 | academic freedom, dentistry, higher education | |
|
Aakash Yadav
|
1 | — | — | human-robot collaboration, trust, cognitive fatigue | |
| Sarah K. Hopko | 1 / 14 | 277 | 7 | human-robot collaboration, trust, cognitive fatigue | |
| P. Pagilla | 1 / 224 | 3,008 | 29 | human-robot collaboration, trust, cognitive fatigue | |
| Ranjana K. Mehta | 1 / 15 | 5 | 1 | human-robot collaboration, trust, cognitive fatigue | |
| Alexander F. Dagi | 1 / 17 | 6 | 1 | Body Roundness Index, Plastic Surgery, Risk Stratification | |
| Dylan K. Kim | 1 | — | — | Body Roundness Index, Plastic Surgery, Risk Stratification | |
| Christine H. Rohde | 1 / 29 | 17 | 2 | Body Roundness Index, Plastic Surgery, Risk Stratification | |
| J. Bogue | 1 / 36 | 55 | 4 | Body Roundness Index, Plastic Surgery, Risk Stratification | |
| Z. Mou | 1 / 15 | 114 | 5 | ICU admission, trauma care, mortality | |
| Parisa Oviedo | 1 | — | — | ICU admission, trauma care, mortality | |
| Louis A. Perkins | 1 / 9 | 9 | 2 | ICU admission, trauma care, mortality | |
| Todd W Costantini | 1 / 10 | 8 | 2 | ICU admission, trauma care, mortality | |
| Thomas J. O’Keefe | 1 / 4 | 2 | 1 | ICU admission, trauma care, mortality | |
| Henry M. Horita | 1 / 3 | 3 | 1 | ICU admission, trauma care, mortality | |
| Jay J Doucet | 1 / 9 | 10 | 2 | ICU admission, trauma care, mortality | |
| Laura N Haines | 1 / 6 | 2 | 1 | ICU admission, trauma care, mortality | |
| Jarrett Santorelli | 1 / 45 | 317 | 10 | ICU admission, trauma care, mortality | |
| McDonald O. Ogutu | 1 / 2 | — | — | machine learning, diabetes prediction, ensemble modeling | IND, DEU |
| Benson Nzioka Kituku | 1 | — | — | machine learning, diabetes prediction, ensemble modeling | IND, DEU |
| Simon M. Karume | 1 | — | — | machine learning, diabetes prediction, ensemble modeling | IND, DEU |
| Yang Yu | 1 | — | — | sarcopenia, cancer, body roundness index | USA, CHN |
| Yuan Hong | 1 / 6 | 2 | 1 | sarcopenia, cancer, body roundness index | USA, CHN |
| Peng Zhang | 1 / 4 | — | — | sarcopenia, cancer, body roundness index | USA, CHN |
| Kang Cheng | 1 / 3 | 2 | 1 | sarcopenia, cancer, body roundness index | USA, CHN |
| Bo Chen | 1 / 4 | 2 | 1 | sarcopenia, cancer, body roundness index | USA, CHN |
| E. Serván-Mori | 1 / 162 | 60,515 | 37 | universal health coverage, health insurance, health inequalities | MEX |
| Diego Cerecero-García | 1 / 10 | 63 | 5 | universal health coverage, health insurance, health inequalities | MEX |
| Sergio Meneses-Navarro | 1 / 19 | 244 | 8 | universal health coverage, health insurance, health inequalities | MEX |
| T. Hone | 1 / 85 | 3,024 | 24 | universal health coverage, health insurance, health inequalities | MEX |
| Alejandro Mohar-Betancourt | 1 | — | — | universal health coverage, health insurance, health inequalities | MEX |
| Octavio Gómez-Dantés | 1 / 8 | 15 | 2 | universal health coverage, health insurance, health inequalities | MEX |
| Manikantan R | 1 / 2 | — | — | Artificial Intelligence, Automation, Employment | |
| Manikanta Manikanta | 1 / 2 | 1 | 1 | Artificial Intelligence, Automation, Employment | |
| Devanabanda Raghava Reddy | 1 | — | — | Artificial Intelligence, Automation, Employment | |
| Yang Lu | 1 | 2 | 1 | percutaneous procedures, anesthesia, pain management | |
| Rong Wei | 1 | — | — | percutaneous procedures, anesthesia, pain management | |
| Yu Zhang | 1 | — | — | percutaneous procedures, anesthesia, pain management | |
| Xiaoling Jiang | 1 | — | — | percutaneous procedures, anesthesia, pain management | |
| Siming Song | 1 | — | — | percutaneous procedures, anesthesia, pain management | |
|
Xia Zou
|
1 | — | — | percutaneous procedures, anesthesia, pain management | |
| Luming Dai | 1 | — | — | percutaneous procedures, anesthesia, pain management | |
| Guanshan Wei | 1 | — | — | percutaneous procedures, anesthesia, pain management | |
|
Yuling Zhong
|
1 | — | — | percutaneous procedures, anesthesia, pain management | |
|
Zheng Gong
|
1 | — | — | percutaneous procedures, anesthesia, pain management | |
| Isaac N. Treves | 1 / 25 | 200 | 8 | mindfulness meditation, interoception, psychological outcomes | |
| Ya-Yun Chen | 1 | — | — | mindfulness meditation, interoception, psychological outcomes | |
| Caitlyn L. Wilson | 1 / 3 | 19 | 2 | mindfulness meditation, interoception, psychological outcomes | |
| C. Verdonk | 1 / 8 | 6 | 1 | mindfulness meditation, interoception, psychological outcomes | |
| Joanne Qinàau | 1 | — | — | mindfulness meditation, interoception, psychological outcomes | |
| James E. Pustejovsky | 1 | — | — | mindfulness meditation, interoception, psychological outcomes | |
| Simon B. Goldberg | 1 / 14 | 66 | 5 | mindfulness meditation, interoception, psychological outcomes | |
| Wolf Mehling | 1 / 3 | 62 | 2 | mindfulness meditation, interoception, psychological outcomes | |
| Zev Schuman-Olivier | 1 / 86 | 2,786 | 26 | mindfulness meditation, interoception, psychological outcomes | |
| Sahib S. Khalsa | 1 / 5 | 9 | 2 | mindfulness meditation, interoception, psychological outcomes | |
| Thabile Soga | 1 | — | — | work-life balance, employee well-being, mental health | ZAF |
| Starla Murillo | 1 | — | — | mental health, cycling program, adolescents | USA |
| Ashtyn Philipsheck | 1 / 3 | 1 | 1 | mental health, cycling program, adolescents | USA |
| Fletcher Dementyev | 1 / 3 | — | — | mental health, cycling program, adolescents | USA |
| Benjamin Bello-Sotto | 1 | — | — | mental health, cycling program, adolescents | USA |
| Eshan Bhatt | 1 | — | — | mental health, cycling program, adolescents | USA |
| Hunter Wilson | 1 | — | — | mental health, cycling program, adolescents | USA |
| Kai Madison | 1 | — | — | mental health, cycling program, adolescents | USA |
| Lauren Schuck | 1 | — | — | mental health, cycling program, adolescents | USA |
| Seth A. Wiafe | 1 | — | — | mental health, cycling program, adolescents | USA |
|
Cian L. Brown
|
1 | — | — | mental health, cycling program, adolescents | USA |
| Esther J. Walker | 1 | — | — | mental health, cycling program, adolescents | USA |
|
Sean M. Wilson
|
1 | — | — | mental health, cycling program, adolescents | USA |
| Talgat Kutebayev | 1 / 2 | 2 | 1 | job stress, mental wellbeing, character strengths | KAZ |
| Robert L. Lloyd | 1 | — | — | job stress, mental wellbeing, character strengths | KAZ |
| Vlagimir Titov | 1 | — | — | social capital, subjective well-being, quality of life | |
| D. Loginov | 1 / 4 | 3 | 1 | social capital, subjective well-being, quality of life | |
|
Sulabh Agarwal
|
1 | — | — | eco-labeling, green purchase intentions, green trust | |
| Richa Singh Dubey | 1 / 3 | 3 | 1 | eco-labeling, green purchase intentions, green trust | |
| Anand Kumar Gupta | 1 | — | — | eco-labeling, green purchase intentions, green trust | |
| Rakhshan Kamran | 1 / 36 | 484 | 11 | Patient-Reported Outcome Measures, Radiology, Patient-Centered Care | |
| A. Doria | 1 / 28 | 83 | 6 | Patient-Reported Outcome Measures, Radiology, Patient-Centered Care | |
| Michael N. Patlas | 1 / 32 | 47 | 4 | Patient-Reported Outcome Measures, Radiology, Patient-Centered Care | |
| Alessandra Buja | 1 | — | — | social capital, quality of life, life satisfaction | USA, CAN, AUS |
| Sohail Akhtar | 1 | — | — | social capital, quality of life, life satisfaction | USA, CAN, AUS |
| Kaitlyn Regehr | 1 / 33 | 294 | 8 | social media, mental health, recommendation algorithms | GBR |
| Caitlin Shaughnessy | 1 | 17 | 1 | social media, mental health, recommendation algorithms | GBR |
| Minzhu Zhao | 1 | — | — | social media, mental health, recommendation algorithms | GBR |
|
Idil Cambazoglu
University College London
|
1 / 4 | 65 | 3 | social media, mental health, recommendation algorithms | GBR |
| Alfie Turner | 1 | — | — | social media, mental health, recommendation algorithms | GBR |
| Nicola Shaughnessy | 1 | — | — | social media, mental health, recommendation algorithms | GBR |
| Andrew M. Lane | 1 / 8 | 128 | 2 | fatigue, health, performance | |
| Dominic Micklewright | 1 | — | — | fatigue, health, performance | |
| Carla Meijen | 1 | — | — | fatigue, health, performance | |
| A. Yanto | 1 / 8 | 13 | 2 | altmetrics, research impact, social media | |
| Adian Fatchur Rochim | 1 / 2 | 1 | 1 | altmetrics, research impact, social media | |
| Anne Parlina | 1 / 12 | 120 | 4 | altmetrics, research impact, social media | |
| Heriyanto | 1 | — | — | altmetrics, research impact, social media | |
| Lis Setyowati | 1 / 16 | 40 | 2 | altmetrics, research impact, social media | |
| Nazeema Isaacs | 1 | — | — | youth mental health, stressors, stakeholder engagement | KEN, IND, NGA |
| Zaynab Essack | 1 | — | — | youth mental health, stressors, stakeholder engagement | KEN, IND, NGA |
| Lilian Mutengu | 1 | — | — | youth mental health, stressors, stakeholder engagement | KEN, IND, NGA |
| Salome Wawire | 1 | — | — | youth mental health, stressors, stakeholder engagement | KEN, IND, NGA |
| Susan Gichoga | 1 | — | — | youth mental health, stressors, stakeholder engagement | KEN, IND, NGA |
| Alphonsus Neba | 1 / 2 | — | — | youth mental health, stressors, stakeholder engagement | KEN, IND, NGA |
| Uzma Alam | 1 | — | — | youth mental health, stressors, stakeholder engagement | KEN, IND, NGA |
| Constance Mabia | 1 | — | — | youth mental health, stressors, stakeholder engagement | KEN, IND, NGA |
| Palesa Sekhejane | 1 / 2 | 1 | 1 | youth mental health, stressors, stakeholder engagement | KEN, IND, NGA |
| Byron Bitanihirwe | 1 | — | — | youth mental health, stressors, stakeholder engagement | KEN, IND, NGA |
| A. Berg | 1 / 2 | — | — | modifable lifestyle factors, episodic memory, aging | |
| Stephanie Sinclair | 1 / 2 | — | — | modifable lifestyle factors, episodic memory, aging | |
| Ashley Acosta‐Parra | 1 | — | — | modifable lifestyle factors, episodic memory, aging | |
| César A Moreno | 1 | — | — | modifable lifestyle factors, episodic memory, aging | |
| A. Glosson | 1 | — | — | modifable lifestyle factors, episodic memory, aging | |
| Rachel A Whitmer | 1 / 125 | 259 | 8 | modifable lifestyle factors, episodic memory, aging | |
| Paola Gilsanz | 1 / 213 | 1,558 | 21 | modifable lifestyle factors, episodic memory, aging | |
| Evan Fletcher | 1 / 7 | 12 | 2 | modifable lifestyle factors, episodic memory, aging | |
| Samuel Bruelisauer | 1 | — | — | justice in value chains, farmer wellbeing, sustainability in cocoa | PER |
| Diego Zavaleta | 1 | — | — | justice in value chains, farmer wellbeing, sustainability in cocoa | PER |
| J. G. Montoya-Zumaeta | 1 | — | — | justice in value chains, farmer wellbeing, sustainability in cocoa | PER |
| Johanna Jacobi | 1 | — | — | justice in value chains, farmer wellbeing, sustainability in cocoa | PER |
| Juliana Croffi | 1 / 3 | 8 | 2 | indoor environment satisfaction, high-rise buildings, machine learning | |
| V. Soebarto | 1 / 6 | 5 | 1 | indoor environment satisfaction, high-rise buildings, machine learning | |
| David Kroll | 1 / 7 | 25 | 2 | indoor environment satisfaction, high-rise buildings, machine learning | |
| Helen Barrie | 1 / 2 | — | — | indoor environment satisfaction, high-rise buildings, machine learning | |
| Roger Keller Celeste | 1 / 4 | 2 | 1 | oral health, quality of life, psychometrics | BRA |
| Matheus de França Perazzo | 1 / 2 | 2 | 1 | oral health, quality of life, psychometrics | BRA |
| G. Tsakos | 1 / 17 | 39 | 4 | oral health, quality of life, psychometrics | BRA |
| M. Reichenheim | 1 / 5 | — | — | oral health, quality of life, psychometrics | BRA |
| Samuel J. Warne | 1 / 3 | 1 | 1 | workplace physical activity, exercise behavior, COM-B model | GBR |
| James A. Ainge | 1 / 5 | 28 | 2 | workplace physical activity, exercise behavior, COM-B model | GBR |
| Gozde Ozakinci | 1 / 5 | 7 | 2 | workplace physical activity, exercise behavior, COM-B model | GBR |
| Karli R. Chudeau | 1 / 2 | 21 | 2 | animal welfare, marine mammals, rehabilitation | |
| Sophie Guarasci | 1 | — | — | animal welfare, marine mammals, rehabilitation | |
| Bethany L Krebs | 1 / 14 | 235 | 10 | animal welfare, marine mammals, rehabilitation | |
| Cara Field | 1 | — | — | animal welfare, marine mammals, rehabilitation | |
| Jason V. Watters | 1 | — | — | animal welfare, marine mammals, rehabilitation | |
| M. Puig-García | 1 / 14 | 154 | 4 | type 2 diabetes, social support, glycemic control | ECU |
| A. Henriques | 1 | — | — | type 2 diabetes, social support, glycemic control | ECU |
| Andrea Bravo-Díaz | 1 | — | — | type 2 diabetes, social support, glycemic control | ECU |
| Mª. José Sanchís-Ramón | 1 | — | — | type 2 diabetes, social support, glycemic control | ECU |
| Mariana Amorim | 1 | — | — | type 2 diabetes, social support, glycemic control | ECU |
| Sergio Morales-Garzón | 1 / 4 | 28 | 2 | type 2 diabetes, social support, glycemic control | ECU |
| Jessica Pinto-Delgado | 1 | — | — | type 2 diabetes, social support, glycemic control | ECU |
| E. Chilet-Rosell | 1 / 13 | 75 | 2 | type 2 diabetes, social support, glycemic control | ECU |
| L. A. Parker | 1 / 8 | 74 | 2 | type 2 diabetes, social support, glycemic control | ECU |
| Yu Li | 1 | — | — | interparental conflict, academic engagement, emotional intelligence | CHN |
| YuMei Han | 1 | — | — | interparental conflict, academic engagement, emotional intelligence | CHN |
| Shujuan Liu | 1 | — | — | Heart Rate Variability, Autonomic Nervous System, Cardiovascular Disease | |
| Yunyi Cui | 1 | — | — | Heart Rate Variability, Autonomic Nervous System, Cardiovascular Disease | |
| Meihong Chen | 1 | — | — | Heart Rate Variability, Autonomic Nervous System, Cardiovascular Disease | |
| S. Yogeshkumar | 1 / 34 | 225 | 9 | nomophobia, medical students, smartphone addiction | IND |
| Sasitharan Muthusamy | 1 / 2 | — | — | nomophobia, medical students, smartphone addiction | IND |
| Rohit D. Bamane | 1 | — | — | nomophobia, medical students, smartphone addiction | IND |
| Mar Hernandez-Martin | 1 | — | — | indoor environmental quality, residential buildings, vulnerable populations | |
| Fernando del Ama Gonzalo | 1 / 14 | 125 | 5 | indoor environmental quality, residential buildings, vulnerable populations | |
| R. González-Lezcano | 1 / 59 | 947 | 19 | indoor environmental quality, residential buildings, vulnerable populations | |
| O. Bucovețchi | 1 / 39 | 70 | 5 | organizational resilience, AI opportunities, strategic domains | |
| A. Voipan | 1 / 8 | 73 | 4 | organizational resilience, AI opportunities, strategic domains | |
| Daniel Voipan | 1 / 9 | 75 | 4 | organizational resilience, AI opportunities, strategic domains | |
| R. Stanciu | 1 / 29 | 107 | 5 | organizational resilience, AI opportunities, strategic domains | |
| Liz Murphy-May | 1 / 2 | 2 | 1 | research accountability, relationality, Gumbaynggirr Ngambaa | AUS |
| Aunty Shaa Smith | 1 / 3 | 59 | 3 | research accountability, relationality, Gumbaynggirr Ngambaa | AUS |
| Uncle Bud Marshall | 1 / 4 | 37 | 3 | research accountability, relationality, Gumbaynggirr Ngambaa | AUS |
| L. Daley | 1 / 14 | 124 | 6 | research accountability, relationality, Gumbaynggirr Ngambaa | AUS |
| Sarah Wright | 1 / 3 | 5 | 2 | research accountability, relationality, Gumbaynggirr Ngambaa | AUS |
| Paul Hodge | 1 / 3 | 3 | 1 | research accountability, relationality, Gumbaynggirr Ngambaa | AUS |
| Chengkang Wang | 1 / 2 | 29 | 2 | urban green spaces, cardiovascular health, particulate matter | CHN |
| Xuyang Sun | 1 | 8 | 1 | urban green spaces, cardiovascular health, particulate matter | CHN |
| Yuchong Wang | 1 | 8 | 1 | urban green spaces, cardiovascular health, particulate matter | CHN |
|
Zherui Bai
|
1 | — | — | urban green spaces, cardiovascular health, particulate matter | CHN |
|
Lina Kang
|
1 | — | — | urban green spaces, cardiovascular health, particulate matter | CHN |
| Biao Xu | 1 / 52 | 432 | 11 | urban green spaces, cardiovascular health, particulate matter | CHN |
|
Jun Jin
|
1 | — | — | urban green spaces, cardiovascular health, particulate matter | CHN |
| Jiajie Cao | 1 | 4 | 1 | urban green spaces, cardiovascular health, particulate matter | CHN |
|
Yajing Mao
|
1 | — | — | urban green spaces, cardiovascular health, particulate matter | CHN |
| Xuan Wei | 1 | — | — | urban green spaces, cardiovascular health, particulate matter | CHN |
| Huilin Liang | 1 | — | — | urban green spaces, cardiovascular health, particulate matter | CHN |
| Noah Reinertz | 1 | — | — | menstrual cycle, athletic performance, psychological wellness | |
| Brett Crossland | 1 | — | — | menstrual cycle, athletic performance, psychological wellness | |
| Yehuda Wacks | 1 / 2 | 276 | 2 | impulsivity, smartphone use, acquired brain injury | |
| M. Koslowsky | 1 / 169 | 5,742 | 39 | impulsivity, smartphone use, acquired brain injury | |
| Ayala Bloch | 1 | — | — | impulsivity, smartphone use, acquired brain injury | |
| Aviv Weinstein | 1 | — | — | impulsivity, smartphone use, acquired brain injury | |
| Jenny A. Quijozaca | 1 | — | — | ecosystem services, cultural identity, subjective wellbeing | ECU |
| Mateo Aguado | 1 / 7 | 270 | 5 | ecosystem services, cultural identity, subjective wellbeing | ECU |
| José A. González | 1 | — | — | ecosystem services, cultural identity, subjective wellbeing | ECU |
| Saud Binlibdah | 1 / 3 | 12 | 1 | public relations, artificial intelligence, commercial growth | ARE |
| Maseeha Ansermeah | 1 | — | — | degrowth, systems thinking, equity | ZAF |
| Cecile Gerwel Proches | 1 / 3 | 21 | 1 | degrowth, systems thinking, equity | ZAF |
| S. Bodhanya | 1 / 42 | 341 | 9 | degrowth, systems thinking, equity | ZAF |
| T. T. Gemeda | 1 / 7 | 21 | 2 | socio-emotional difficulties, behavioral difficulties, adolescents | ETH |
| K. Mohangi | 1 | — | — | socio-emotional difficulties, behavioral difficulties, adolescents | ETH |
| V. Scherman | 1 | — | — | socio-emotional difficulties, behavioral difficulties, adolescents | ETH |
| Erika Spray | 1 / 9 | 23 | 2 | teacher preparedness, student mental health, early career teachers | |
| Abbie Smith | 1 | — | — | teacher preparedness, student mental health, early career teachers | |
| Emma L. Shaw | 1 | 2 | 1 | teacher preparedness, student mental health, early career teachers | |
| Rachel Burke | 1 / 5 | 13 | 2 | teacher preparedness, student mental health, early career teachers | |
| Mercedes Ventura | 1 | — | — | transformational leadership, transactional leadership, emotional climate | |
| Noelia Ventura-Campos | 1 | — | — | transformational leadership, transactional leadership, emotional climate | |
| Tae Kyung Kwon | 1 / 6 | 4 | 1 | road safety, winter weather, road heating systems | KOR |
|
Young-Shin Lim
|
1 | — | — | road safety, winter weather, road heating systems | KOR |
| Tae Hyoung Kim | 1 / 3 | 2 | 1 | road safety, winter weather, road heating systems | KOR |
| Eric Konadu Agyemang Duah | 1 | — | — | sub-Saharan African migrants, mental health, psychosis | |
| R. Wilson | 1 / 43 | 309 | 10 | sub-Saharan African migrants, mental health, psychosis | |
| Nicholas W. Kuehl | 1 | — | — | blast overpressure, military personnel, sensor technology | |
| Catherine E. Johnson | 1 / 3 | 1 | 1 | blast overpressure, military personnel, sensor technology | |
| Chenxi Lin | 1 | — | — | human preferences, social surveys, language models | |
|
Weikang Yuan
|
1 | — | — | human preferences, social surveys, language models | |
| Zhuoren Jiang | 1 / 8 | 6 | 2 | human preferences, social surveys, language models | |
|
Biao Huang
|
1 | — | — | human preferences, social surveys, language models | |
| Ruitao Zhang | 1 | — | — | human preferences, social surveys, language models | |
|
Jianan Ge
|
1 | — | — | human preferences, social surveys, language models | |
| Yueqian Xu | 1 | 2 | 1 | human preferences, social surveys, language models | |
| Jianxing Yu | 1 / 6 | 6 | 2 | human preferences, social surveys, language models | |
| Tosca Van Hoorde | 1 | — | — | mental health, stigma, Hansen's disease | IND |
| Matthew Willis | 1 / 16 | 35 | 3 | mental health, stigma, Hansen's disease | IND |
| Srilekha Penna | 1 / 9 | 35 | 3 | mental health, stigma, Hansen's disease | IND |
| Ewelina Julia Barnowska | 1 / 3 | 12 | 2 | mental health, stigma, Hansen's disease | IND |
| S. C. Unterkircher | 1 / 4 | 4 | 2 | mental health, stigma, Hansen's disease | IND |
| Fabian Schlumberger | 1 / 11 | 9 | 2 | mental health, stigma, Hansen's disease | IND |
| Anil Fastenau | 1 / 26 | 62 | 4 | mental health, stigma, Hansen's disease | IND |
| D. Hayes | 1 / 22 | 565 | 11 | COVID-19, maternal health, postnatal care | GBR |
| Andrea L Schaffer | 1 / 16 | 68 | 4 | COVID-19, maternal health, postnatal care | GBR |
| A. Mehrkar | 1 / 168 | 9,066 | 28 | COVID-19, maternal health, postnatal care | GBR |
| Sebastian Bacon | 1 / 59 | 248 | 9 | COVID-19, maternal health, postnatal care | GBR |
| B. Goldacre | 1 / 69 | 259 | 9 | COVID-19, maternal health, postnatal care | GBR |
| B. Mackenna | 1 / 182 | 8,926 | 27 | COVID-19, maternal health, postnatal care | GBR |
| Alexander E. P. Heazell | 1 / 2 | 1 | 1 | COVID-19, maternal health, postnatal care | GBR |
| T. V. van Staa | 1 / 27 | 389 | 7 | COVID-19, maternal health, postnatal care | GBR |
| Victoria Palin | 1 / 38 | 434 | 12 | COVID-19, maternal health, postnatal care | GBR |
|
Dan Han
|
1 | — | — | ESG, innovation, competitive advantage | CHN |
|
Shengyue Hao
|
1 | — | — | ESG, innovation, competitive advantage | CHN |
| Samantha Ray | 1 / 11 | 15 | 2 | gait recognition, older adults, wearable technology | |
| J. I. Koh | 1 / 18 | 61 | 4 | gait recognition, older adults, wearable technology | |
| Amanda Mae Liberty | 1 | 1 | 1 | gait recognition, older adults, wearable technology | |
| Tracy Anne Hammond | 1 | — | — | gait recognition, older adults, wearable technology | |
| Paula Kay Shireman | 1 | — | — | gait recognition, older adults, wearable technology | |
|
Conal Smith
|
1 | — | — | occupation, wellbeing, life satisfaction | NZL |
| Luisa Beltran-Castillon | 1 | — | — | occupation, wellbeing, life satisfaction | NZL |
| Margreet Freiling | 1 | — | — | occupation, wellbeing, life satisfaction | NZL |
| Keith Mcleod | 1 | — | — | occupation, wellbeing, life satisfaction | NZL |
| Lishan Lin | 1 / 19 | 140 | 6 | Cognitive impairment, Neurodegenerative disorders, Digital biomarkers | |
|
Huaxin Huang
|
1 | — | — | Cognitive impairment, Neurodegenerative disorders, Digital biomarkers | |
| Ya Zhang | 1 | — | — | Cognitive impairment, Neurodegenerative disorders, Digital biomarkers | |
|
Fenglin Li
|
1 | — | — | Cognitive impairment, Neurodegenerative disorders, Digital biomarkers | |
| Huiming Yang | 1 | — | — | Cognitive impairment, Neurodegenerative disorders, Digital biomarkers | |
| Fengjuan Su | 1 / 22 | 233 | 9 | Cognitive impairment, Neurodegenerative disorders, Digital biomarkers | |
|
Jiang Lei
|
1 | — | — | Cognitive impairment, Neurodegenerative disorders, Digital biomarkers | |
| Michael F Bergeron | 1 / 5 | 47 | 3 | Cognitive impairment, Neurodegenerative disorders, Digital biomarkers | |
|
Feng Li
|
1 | — | — | Cognitive impairment, Neurodegenerative disorders, Digital biomarkers | |
|
Ding Zheng
|
1 | — | — | Cognitive impairment, Neurodegenerative disorders, Digital biomarkers | |
|
Houchun Zhao
|
1 | — | — | Cognitive impairment, Neurodegenerative disorders, Digital biomarkers | |
|
Xianbo Zhou
|
1 | — | — | Cognitive impairment, Neurodegenerative disorders, Digital biomarkers | |
| J. Wesson Ashford | 1 / 2 | 77 | 2 | Cognitive impairment, Neurodegenerative disorders, Digital biomarkers | |
|
Dingbang Chen
|
1 | — | — | Cognitive impairment, Neurodegenerative disorders, Digital biomarkers | |
| Yousheng Xiao | 1 / 49 | 887 | 18 | Cognitive impairment, Neurodegenerative disorders, Digital biomarkers | |
| Zhong Pei | 1 / 14 | 50 | 4 | Cognitive impairment, Neurodegenerative disorders, Digital biomarkers | |
| H. Lim | 1 / 17 | 320 | 12 | crisis communication, social media, consumer emotions | |
| Natalie Brown-Devlin | 1 / 35 | 368 | 11 | crisis communication, social media, consumer emotions | |
| Paulo Alexandre Correia de Jesus | 1 | — | — | Assistive Technology, Societal Impacts, Disability | |
| J. W. Lourenço | 1 / 2 | 4 | 1 | Assistive Technology, Societal Impacts, Disability | |
| Osíris Canciglieri Junior | 1 / 15 | 55 | 4 | Assistive Technology, Societal Impacts, Disability | |
| Ismael Cristofer Baierle | 1 / 8 | 15 | 3 | Assistive Technology, Societal Impacts, Disability | |
| Jones Luís Schaefer | 1 / 6 | 9 | 2 | Assistive Technology, Societal Impacts, Disability | |
| Megan Burkinshaw | 1 | — | — | peer-to-peer interventions, mental health, refugees | |
| Matthew Wilcockson | 1 / 6 | 13 | 3 | peer-to-peer interventions, mental health, refugees | |
| A. O. Rocha | 1 / 24 | 134 | 7 | bruxism, social interest, scientific publications | BRA |
| Lucas Menezes dos Anjos | 1 / 5 | 24 | 2 | bruxism, social interest, scientific publications | BRA |
| F. P. Zatt | 1 / 9 | 14 | 2 | bruxism, social interest, scientific publications | BRA |
|
Pablo Silveira SANTOS
|
1 | — | — | bruxism, social interest, scientific publications | BRA |
| F. C. Vitali | 1 / 34 | 210 | 9 | bruxism, social interest, scientific publications | BRA |
| B. Henriques | 1 / 15 | 27 | 3 | bruxism, social interest, scientific publications | BRA |
| M. Cardoso | 1 / 27 | 80 | 5 | bruxism, social interest, scientific publications | BRA |
| Christopher O'Brien | 1 | — | — | green innovation, sustainable performance, bibliometric analysis | CHN |
| Gabriel Owusu | 1 | — | — | green innovation, sustainable performance, bibliometric analysis | CHN |
| I. T. Agyei | 1 / 3 | 2 | 1 | green innovation, sustainable performance, bibliometric analysis | CHN |
| Peter Effah-Amankona | 1 | — | — | green innovation, sustainable performance, bibliometric analysis | CHN |
| Qi-Heng Zuo | 1 / 3 | 4 | 1 | osteoarthritis, health information, short video platforms | CHN |
| Kai Du | 1 / 7 | 13 | 3 | osteoarthritis, health information, short video platforms | CHN |
| Ao Li | 1 / 7 | 13 | 3 | osteoarthritis, health information, short video platforms | CHN |
| Chen-Yu Zhang | 1 / 7 | 13 | 3 | osteoarthritis, health information, short video platforms | CHN |
| Ren Guo | 1 / 6 | 10 | 2 | osteoarthritis, health information, short video platforms | CHN |
| Pin Chen | 1 / 3 | 7 | 2 | osteoarthritis, health information, short video platforms | CHN |
| Weihong Du | 1 / 4 | 8 | 2 | osteoarthritis, health information, short video platforms | CHN |
| Yong-Li Zuo | 1 / 2 | — | — | osteoarthritis, health information, short video platforms | CHN |
| Shu-Ming Li | 1 / 9 | 27 | 3 | osteoarthritis, health information, short video platforms | CHN |
| A. Awaluddin | 1 | — | — | Community-based tourism, Nutritional wellbeing, Rural empowerment | IDN |
| M. Ramli | 1 | — | — | Community-based tourism, Nutritional wellbeing, Rural empowerment | IDN |
| Y. Yusriadi | 1 | — | — | Community-based tourism, Nutritional wellbeing, Rural empowerment | IDN |
| M. Masriadi | 1 | — | — | Community-based tourism, Nutritional wellbeing, Rural empowerment | IDN |
| A. Asrijal | 1 | — | — | Community-based tourism, Nutritional wellbeing, Rural empowerment | IDN |
| Jiska Cohen-Mansfield | 1 / 57 | 5,203 | 35 | dementia, caregiving, activity engagement | ISR |
| Rinat Cohen | 1 / 3 | 2 | 1 | dementia, caregiving, activity engagement | ISR |
| Thomas Datzmann | 1 / 4 | 4 | 1 | stroke care quality, claims data, predictive modeling | |
| Caroline Lang | 1 / 2 | 2 | 1 | stroke care quality, claims data, predictive modeling | |
| F. Tesch | 1 / 11 | 22 | 3 | stroke care quality, claims data, predictive modeling | |
| M. Spoden | 1 / 31 | 725 | 8 | stroke care quality, claims data, predictive modeling | |
| Patrik Dröge | 1 / 5 | — | — | stroke care quality, claims data, predictive modeling | |
| F. Ehm | 1 / 16 | 239 | 6 | stroke care quality, claims data, predictive modeling | |
| Ekkehard Schuler | 1 / 5 | 55 | 3 | stroke care quality, claims data, predictive modeling | |
| Christos Krogias | 1 / 15 | 168 | 7 | stroke care quality, claims data, predictive modeling | |
| Christian Günster | 1 / 26 | 76 | 5 | stroke care quality, claims data, predictive modeling | |
| Jochen Schmitt | 1 | — | — | stroke care quality, claims data, predictive modeling | |
| Christoph Gumbinger | 1 / 10 | 14 | 2 | stroke care quality, claims data, predictive modeling | |
| J. Barlinn | 1 / 73 | 950 | 14 | stroke care quality, claims data, predictive modeling | |
| S. Finlay | 1 / 44 | 393 | 9 | Indigenous Health, Program Evaluation, Cultural Safety | AUS |
| A. Boulton | 1 / 80 | 752 | 16 | Indigenous Health, Program Evaluation, Cultural Safety | AUS |
| Jenni Judd | 1 | — | — | Indigenous Health, Program Evaluation, Cultural Safety | AUS |
| Bronwyn Fredericks | 1 | — | — | Indigenous Health, Program Evaluation, Cultural Safety | AUS |
| Janaya Pender | 1 | — | — | Indigenous Health, Program Evaluation, Cultural Safety | AUS |
|
James A. Smith
|
1 | — | — | Indigenous Health, Program Evaluation, Cultural Safety | AUS |
| Helen Simpson | 1 | — | — | Indigenous Health, Program Evaluation, Cultural Safety | AUS |
| Yvette Roe | 1 | — | — | Indigenous Health, Program Evaluation, Cultural Safety | AUS |
| Sophie Kerrigan | 1 | — | — | Indigenous Health, Program Evaluation, Cultural Safety | AUS |
| Anna Temby | 1 | — | — | Indigenous Health, Program Evaluation, Cultural Safety | AUS |
| Margaret Cargo | 1 | — | — | Indigenous Health, Program Evaluation, Cultural Safety | AUS |
| M. Avgoulas | 1 / 28 | 76 | 5 | Greek diaspora, cultural identity, religious identity | AUS |
| M. Sabbaghi | 1 / 18 | 485 | 10 | lithium-ion batteries, consumer behavior, sustainability | USA |
| Sara Behdad | 1 / 3 | 3 | 1 | lithium-ion batteries, consumer behavior, sustainability | USA |
| Hui Yang | 1 | — | — | major depressive disorder, EEG, neural networks | MYS |
|
Yu Ye
|
1 | — | — | major depressive disorder, EEG, neural networks | MYS |
|
Meiling Hu
|
1 | — | — | neck circumference, body composition, obesity | CHN |
|
Min Zhou
|
1 | — | — | neck circumference, body composition, obesity | CHN |
| Xin Sun | 1 | — | — | neck circumference, body composition, obesity | CHN |
| Manfen Qing | 1 | — | — | neck circumference, body composition, obesity | CHN |
| Minxia Jiang | 1 | — | — | neck circumference, body composition, obesity | CHN |
| John M. Meddar | 1 / 8 | 115 | 2 | hypertension, remote patient monitoring, race/ethnicity disparities | USA |
| Devin Mann | 1 | — | — | hypertension, remote patient monitoring, race/ethnicity disparities | USA |
| Mark Schwartz | 1 | — | — | hypertension, remote patient monitoring, race/ethnicity disparities | USA |
| Hyung G Park | 1 | — | — | hypertension, remote patient monitoring, race/ethnicity disparities | USA |
| Rachel Engelberg | 1 | — | — | hypertension, remote patient monitoring, race/ethnicity disparities | USA |
|
Maria R Khan
|
1 | — | — | hypertension, remote patient monitoring, race/ethnicity disparities | USA |
| M. Naghavi | 1 / 34 | 50 | 4 | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| Amir Azimi | 1 | — | — | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| K. Atlas | 1 / 19 | 60 | 5 | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| A. Reeves | 1 / 31 | 53 | 5 | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| Chenyu Zhang | 1 / 27 | 49 | 5 | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| J. Wasserthal | 1 / 5 | 10 | 1 | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| Seyed Reza Mirjalili | 1 / 4 | — | — | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| Mohammadhossein Mozafarybazargany | 1 | — | — | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| Ali Hashemi | 1 | — | — | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| T. Atlas | 1 / 37 | 66 | 5 | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| C. Henschke | 1 / 30 | 50 | 4 | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| D. Yankelevitz | 1 / 13 | — | — | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| Jeffrey mechanick | 1 / 3 | — | — | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| Andrea Branch | 1 / 4 | 1 | 1 | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| Susan K. Fried | 1 | — | — | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| Khurram Nasir | 1 / 56 | 40 | 4 | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| Zahi Fayad | 1 / 10 | 16 | 1 | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| Michael V. McConnell | 1 / 11 | 20 | 2 | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| R. Vliegenthart | 1 / 87 | 995 | 16 | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| David Maron | 1 / 18 | 3 | 1 | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| Jagat Narula | 1 / 16 | 71 | 4 | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| Kim Williams | 1 / 6 | 18 | 2 | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| Prediman K. Shah | 1 / 9 | 4 | 1 | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| M. Budoff | 1 / 2485 | 90,873 | 146 | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| D. Levy | 1 / 9 | 29 | 3 | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| Emelia Benjamin | 1 / 14 | — | — | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| Robert A Kloner | 1 / 51 | 400 | 6 | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| Nathan D. Wong | 1 / 13 | 64 | 1 | artificial intelligence, type 2 diabetes, coronary artery calcium | |
| Xishi Zhu | 1 / 8 | 30 | 3 | ACL reconstruction, gait analysis, biomechanics | |
| Devin K. Kelly | 1 / 10 | — | — | ACL reconstruction, gait analysis, biomechanics | |
| Grayson Kim | 1 | — | — | ACL reconstruction, gait analysis, biomechanics | |
| Joe M. Hart | 1 / 3 | — | — | ACL reconstruction, gait analysis, biomechanics | |
| J. Gong | 1 / 26 | 118 | 7 | ACL reconstruction, gait analysis, biomechanics | |
| Allison D. Ta | 1 | — | — | neonatal malnutrition, body composition, childhood obesity | |
| Ting Ting Fu | 1 / 8 | 21 | 3 | neonatal malnutrition, body composition, childhood obesity | |
| Gillian R. Goddard | 1 | — | — | neonatal malnutrition, body composition, childhood obesity | |
| K. McNelis | 1 / 29 | 297 | 8 | neonatal malnutrition, body composition, childhood obesity | |
| M. Adley | 1 / 9 | 38 | 4 | spiritual health, social prescribing, training needs | GBR |
|
Alexandra Thompson
|
1 | — | — | spiritual health, social prescribing, training needs | GBR |
| Philip Mordue | 1 | — | — | spiritual health, social prescribing, training needs | GBR |
| Amy O’Donnell | 1 / 6 | 2 | 1 | spiritual health, social prescribing, training needs | GBR |
| Barbara Hanratty | 1 / 3 | 18 | 2 | spiritual health, social prescribing, training needs | GBR |
| Ishbel Orla Whitehead | 1 / 10 | 70 | 4 | spiritual health, social prescribing, training needs | GBR |
|
Jing Feng
|
1 | — | — | glycemic dysregulation, ischemic stroke, diabetes | |
| Chang He | 1 / 3 | 1 | 1 | glycemic dysregulation, ischemic stroke, diabetes | |
|
Jianheng Gu
|
1 | — | — | glycemic dysregulation, ischemic stroke, diabetes | |
| Hongyu Zhang | 1 / 4 | 14 | 1 | glycemic dysregulation, ischemic stroke, diabetes | |
| Hongbo San | 1 / 4 | — | — | glycemic dysregulation, ischemic stroke, diabetes | |
| Mengsi Zhan | 1 / 2 | — | — | glycemic dysregulation, ischemic stroke, diabetes | |
|
Hongqian Fu
|
1 | — | — | glycemic dysregulation, ischemic stroke, diabetes | |
|
Jiahao Yao
|
1 | — | — | glycemic dysregulation, ischemic stroke, diabetes | |
| Lang Li | 1 / 3 | — | — | glycemic dysregulation, ischemic stroke, diabetes | |
| Xuefeng Wang | 1 / 8 | 62 | 3 | glycemic dysregulation, ischemic stroke, diabetes | |
|
Baoyan Chen
|
1 | — | — | Inflammatory Bowel Disease, Global Health Inequalities, Socioeconomic Disparities | |
|
Tianyi Wang
|
1 | — | — | Inflammatory Bowel Disease, Global Health Inequalities, Socioeconomic Disparities | |
|
Chaohui Yin
|
1 | — | — | Inflammatory Bowel Disease, Global Health Inequalities, Socioeconomic Disparities | |
|
Yang Su
|
1 | — | — | Inflammatory Bowel Disease, Global Health Inequalities, Socioeconomic Disparities | |
| Xiaowei Zhang | 1 / 24 | 303 | 8 | Inflammatory Bowel Disease, Global Health Inequalities, Socioeconomic Disparities | |
| Jiangyan Xu | 1 / 9 | 29 | 4 | Inflammatory Bowel Disease, Global Health Inequalities, Socioeconomic Disparities | |
| Zhenqiang Zhang | 1 | 6 | 1 | Inflammatory Bowel Disease, Global Health Inequalities, Socioeconomic Disparities | |
|
Zhishen Xie
|
1 | — | — | Inflammatory Bowel Disease, Global Health Inequalities, Socioeconomic Disparities | |
| Pan Wang | 1 | — | — | Inflammatory Bowel Disease, Global Health Inequalities, Socioeconomic Disparities | |
| Jialin Liu | 1 / 3 | 10 | 2 | Inflammatory Bowel Disease, Global Health Inequalities, Socioeconomic Disparities | |
| Chenxi Hu | 1 | — | — | Inflammatory Bowel Disease, Global Health Inequalities, Socioeconomic Disparities | |
|
Shixing Feng
|
1 | — | — | Inflammatory Bowel Disease, Global Health Inequalities, Socioeconomic Disparities | |
| Jean-Yves Moisseron | 1 / 33 | 221 | 6 | Inflammatory Bowel Disease, Global Health Inequalities, Socioeconomic Disparities | |
| Leying Sun | 1 | — | — | sarcopenia, nutritional status, elderly | CHN |
| Yilin Yang | 1 | — | — | sarcopenia, nutritional status, elderly | CHN |
|
Ruiyi Yan
|
1 | — | — | sarcopenia, nutritional status, elderly | CHN |
| Bingqing Xu | 1 / 3 | 53 | 3 | sarcopenia, nutritional status, elderly | CHN |
| Kaiyu Zhang | 1 / 3 | 53 | 3 | sarcopenia, nutritional status, elderly | CHN |
| Wenyu Zhu | 1 / 6 | 107 | 5 | sarcopenia, nutritional status, elderly | CHN |
| X. Lian | 1 / 5 | 85 | 4 | sarcopenia, nutritional status, elderly | CHN |
| Yihui Xu | 1 / 6 | 92 | 5 | sarcopenia, nutritional status, elderly | CHN |
| Lei Liu | 1 / 3 | 55 | 3 | sarcopenia, nutritional status, elderly | CHN |
| Xiuming Gao | 1 | — | — | sarcopenia, nutritional status, elderly | CHN |
| Zhengli Guo | 1 / 3 | 53 | 3 | sarcopenia, nutritional status, elderly | CHN |
|
Mingqin Zhou
|
1 | — | — | sarcopenia, nutritional status, elderly | CHN |
| Bruna M. Carlos | 1 / 5 | 2 | 1 | neuroplasticity, transcranial direct current stimulation, extended reality | |
| P. F. G. de Vazquez | 1 / 2 | — | — | neuroplasticity, transcranial direct current stimulation, extended reality | |
| Lucas T. Menezes | 1 / 2 | 2 | 1 | neuroplasticity, transcranial direct current stimulation, extended reality | |
| Saulo S. Feitosa | 1 / 3 | 2 | 1 | neuroplasticity, transcranial direct current stimulation, extended reality | |
| Márcio V. N. Da Silva | 1 | — | — | neuroplasticity, transcranial direct current stimulation, extended reality | |
| Sara R. M. Almeida | 1 / 4 | 2 | 1 | neuroplasticity, transcranial direct current stimulation, extended reality | |
| Jayne A F Silvestre | 1 | — | — | neuroplasticity, transcranial direct current stimulation, extended reality | |
| Larissa L. Pontes | 1 / 3 | — | — | neuroplasticity, transcranial direct current stimulation, extended reality | |
| A. F. Brandao | 1 / 2 | 7 | 1 | neuroplasticity, transcranial direct current stimulation, extended reality | |
| C. V. Ruas | 1 / 43 | 627 | 13 | neuroplasticity, transcranial direct current stimulation, extended reality | |
| Gabriela Castellano | 1 / 4 | 5 | 1 | neuroplasticity, transcranial direct current stimulation, extended reality | |
| Achmad Rivai Syahputra | 1 | — | — | obesity, machine learning, predictive modeling | |
| Rian Hidayat | 1 / 2 | — | — | obesity, machine learning, predictive modeling | |
| Fathur Rismansyah | 1 | — | — | obesity, machine learning, predictive modeling | |
| Sumanto Sumanto | 1 | — | — | obesity, machine learning, predictive modeling | |
| Imam Budiawan | 1 | — | — | obesity, machine learning, predictive modeling | |
| Roida Pakpahan | 1 | — | — | obesity, machine learning, predictive modeling | |
| R. S. Calabrò | 1 / 151 | 676 | 13 | neurorehabilitation, exposome, sleep medicine | |
| Stéphanie Buisine | 1 / 6 | 5 | 1 | transformational leadership, employee competence, trust in teams | |
| Lisa Gaudens | 1 | 2 | 1 | transformational leadership, employee competence, trust in teams | |
| M. Davies | 1 / 9 | 26 | 2 | transformational leadership, employee competence, trust in teams | |
| Bo Dong | 1 | — | — | migrant health, China, determinants of health | CHN |
| Yuxin Zhou | 1 | — | — | migrant health, China, determinants of health | CHN |
| Li Wang | 1 | — | — | migrant health, China, determinants of health | CHN |
| Yiyu Wang | 1 | 1 | 1 | migrant health, China, determinants of health | CHN |
| Zhenlin Zhang | 1 | — | — | migrant health, China, determinants of health | CHN |
| Bashaer Alkhwaiter | 1 | — | — | mHealth, user experience, user satisfaction | |
| M. Aloud | 1 / 37 | 374 | 13 | mHealth, user experience, user satisfaction | |
| Nora Almezeini | 1 / 2 | — | — | mHealth, user experience, user satisfaction | |
| Byung-Hoon Kim | 1 | — | — | panic disorder, virtual reality, treatment response | |
| Jae-Jin Kim | 1 / 3 | 164 | 1 | panic disorder, virtual reality, treatment response | |
| Junhyung Kim | 1 / 7 | 3 | 1 | panic disorder, virtual reality, treatment response | |
| Jiook Cha | 1 | — | — | panic disorder, virtual reality, treatment response | |
| Sang-Won Jeon | 1 / 17 | 48 | 3 | panic disorder, virtual reality, treatment response | |
| Kang-Seob Oh | 1 / 12 | 10 | 2 | panic disorder, virtual reality, treatment response | |
| D. Shin | 1 / 12 | 7 | 2 | panic disorder, virtual reality, treatment response | |
|
Sung Joon Cho
|
1 | — | — | panic disorder, virtual reality, treatment response | |
| John Dundon | 1 | 2 | 1 | knee implant, instability, total knee arthroplasty | USA |
| Nana Zhang | 1 | — | — | ketogenic diet, lipoprotein subclasses, GDF15 | |
| Na Liu | 1 | — | — | ketogenic diet, lipoprotein subclasses, GDF15 | |
| Guoxia Zhao | 1 | — | — | ketogenic diet, lipoprotein subclasses, GDF15 | |
| Juan Yan | 1 | — | — | ketogenic diet, lipoprotein subclasses, GDF15 | |
| Pinghua Zhang | 1 | — | — | ketogenic diet, lipoprotein subclasses, GDF15 | |
| Xiaomiao Li | 1 | — | — | ketogenic diet, lipoprotein subclasses, GDF15 | |
| Jie Zhou | 1 | — | — | ketogenic diet, lipoprotein subclasses, GDF15 | |
| F. Fekih-Romdhane | 1 / 295 | 2,419 | 21 | mental health, schizophrenia, recovery assessment | LBN |
| Fadila Al Mouzakzak | 1 / 3 | 5 | 2 | mental health, schizophrenia, recovery assessment | LBN |
| Ghinwa Abilmona | 1 / 4 | 7 | 2 | mental health, schizophrenia, recovery assessment | LBN |
| Oussama Dahdouh | 1 / 6 | 13 | 3 | mental health, schizophrenia, recovery assessment | LBN |
| S. Hallit | 1 / 807 | 9,429 | 44 | mental health, schizophrenia, recovery assessment | LBN |
|
Dingce Sun
|
1 | — | — | atrial fibrillation, symptom networks, symptom management | CHN |
| Xue Yang | 1 / 2 | 2 | 1 | atrial fibrillation, symptom networks, symptom management | CHN |
| Hong Li | 1 / 4 | 1 | 1 | atrial fibrillation, symptom networks, symptom management | CHN |
| Guirong Li | 1 / 2 | — | — | atrial fibrillation, symptom networks, symptom management | CHN |
|
Hairong Lin
|
1 | — | — | atrial fibrillation, symptom networks, symptom management | CHN |
| Xiaopu Zhang | 1 / 10 | 52 | 3 | COVID-19, internet hospitals, health behavior | |
| Qiang Wang | 1 / 2 | — | — | COVID-19, internet hospitals, health behavior | |
| Ling Yang | 1 | — | — | COVID-19, internet hospitals, health behavior | |
| Tong Su | 1 / 2 | 2 | 1 | COVID-19, internet hospitals, health behavior | |
| Zahraa Diab | 1 | — | — | thermal resilience, naturally ventilated buildings, passive design | LBN |
| Jaafar Younes | 1 / 17 | 136 | 7 | thermal resilience, naturally ventilated buildings, passive design | LBN |
| N. Ghaddar | 1 / 282 | 6,125 | 40 | thermal resilience, naturally ventilated buildings, passive design | LBN |
| S. Duehlmeyer | 1 / 4 | 3 | 1 | Cystic Fibrosis, HEMT, antibiotic utilization | |
| Ann L. Wirtz | 1 / 31 | 103 | 7 | Cystic Fibrosis, HEMT, antibiotic utilization | |
| Alaina N. Burns | 1 / 37 | 102 | 6 | Cystic Fibrosis, HEMT, antibiotic utilization | |
| C. Oermann | 1 / 16 | 185 | 5 | Cystic Fibrosis, HEMT, antibiotic utilization | |
| Brian R Lee | 1 | — | — | Cystic Fibrosis, HEMT, antibiotic utilization | |
| Joshua C. Herigon | 1 / 30 | 477 | 8 | Cystic Fibrosis, HEMT, antibiotic utilization | |
| Trent E. Schwartz | 1 / 11 | 14 | 2 | beef quality, cattle transportation, harvest assessments | USA |
| Sydni E Borders | 1 / 8 | 14 | 2 | beef quality, cattle transportation, harvest assessments | USA |
| Thachary R Mayer | 1 / 5 | 13 | 2 | beef quality, cattle transportation, harvest assessments | USA |
| K. Gehring | 1 / 58 | 458 | 12 | beef quality, cattle transportation, harvest assessments | USA |
| D. Griffin | 1 / 96 | 3,408 | 27 | beef quality, cattle transportation, harvest assessments | USA |
| C. Kerth | 1 / 6 | 7 | 1 | beef quality, cattle transportation, harvest assessments | USA |
| K. Belk | 1 / 377 | 10,860 | 59 | beef quality, cattle transportation, harvest assessments | USA |
| L. Edwards-Callaway | 1 / 48 | 330 | 11 | beef quality, cattle transportation, harvest assessments | USA |
| J. Scanga | 1 / 131 | 4,354 | 37 | beef quality, cattle transportation, harvest assessments | USA |
| M. Nair | 1 / 13 | 33 | 4 | beef quality, cattle transportation, harvest assessments | USA |
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J Brad Morgan
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1 | — | — | beef quality, cattle transportation, harvest assessments | USA |
| Jarrett B Douglas | 1 / 2 | 7 | 1 | beef quality, cattle transportation, harvest assessments | USA |
| M. Pfeiffer | 1 / 49 | 351 | 9 | beef quality, cattle transportation, harvest assessments | USA |
| G. Mafi | 1 / 153 | 1,632 | 24 | beef quality, cattle transportation, harvest assessments | USA |
| Keayla M. Harr | 1 / 15 | 34 | 5 | beef quality, cattle transportation, harvest assessments | USA |
| Ty E. Lawrence | 1 / 17 | 1 | 1 | beef quality, cattle transportation, harvest assessments | USA |
| T. Tennant | 1 / 52 | 142 | 6 | beef quality, cattle transportation, harvest assessments | USA |
| L. W. Lucherk | 1 / 30 | 182 | 5 | beef quality, cattle transportation, harvest assessments | USA |
| T. O’Quinn | 1 / 215 | 1,884 | 20 | beef quality, cattle transportation, harvest assessments | USA |
| Erin S. Beyer | 1 / 22 | 21 | 3 | beef quality, cattle transportation, harvest assessments | USA |
| Phil D Bass | 1 / 5 | 13 | 2 | beef quality, cattle transportation, harvest assessments | USA |
| Lyda G. Garcia | 1 / 7 | 228 | 3 | beef quality, cattle transportation, harvest assessments | USA |
| Benjamin M. Bohrer | 1 / 33 | 217 | 9 | beef quality, cattle transportation, harvest assessments | USA |
| J. Pempek | 1 / 54 | 519 | 14 | beef quality, cattle transportation, harvest assessments | USA |
| A. Garmyn | 1 / 13 | 24 | 4 | beef quality, cattle transportation, harvest assessments | USA |
| R. Maddock | 1 / 63 | 1,454 | 23 | beef quality, cattle transportation, harvest assessments | USA |
| C. Carr | 1 / 10 | 161 | 4 | beef quality, cattle transportation, harvest assessments | USA |
| T. Pringle | 1 / 72 | 1,469 | 24 | beef quality, cattle transportation, harvest assessments | USA |
| T. Scheffler | 1 / 12 | 95 | 5 | beef quality, cattle transportation, harvest assessments | USA |
| J. Scheffler | 1 / 63 | 764 | 16 | beef quality, cattle transportation, harvest assessments | USA |
| A. Stelzleni | 1 / 92 | 944 | 17 | beef quality, cattle transportation, harvest assessments | USA |
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John M Gonzalez
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1 | — | — | beef quality, cattle transportation, harvest assessments | USA |
| Keith R. Underwood | 1 / 16 | 23 | 3 | beef quality, cattle transportation, harvest assessments | USA |
| B. N. Harsh | 1 / 6 | 14 | 2 | beef quality, cattle transportation, harvest assessments | USA |
| Crystal M Waters | 1 / 4 | 13 | 2 | beef quality, cattle transportation, harvest assessments | USA |
| J. W. Savell | 1 / 18 | 223 | 6 | beef quality, cattle transportation, harvest assessments | USA |