World's Best Scientists 2026 revealed!
Gabriel M. Leung

Gabriel M. Leung

D-Index & Metrics

Medicine

D-Index
113
Citations
87333
World Ranking
4822
National Ranking
46

Gabriel M. Leung publication distribution in Medicine in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Medicine in 2026. The highlighted bar marks where Gabriel M. Leung sits on this spectrum.

101–120 publications: 5 scientists 121–140 publications: 26 scientists 141–160 publications: 73 scientists 161–180 publications: 155 scientists 181–200 publications: 230 scientists 201–220 publications: 363 scientists 221–240 publications: 487 scientists 241–260 publications: 545 scientists 261–280 publications: 722 scientists 281–300 publications: 768 scientists 301–320 publications: 834 scientists 321–340 publications: 895 scientists 341–360 publications: 922 scientists 361–380 publications: 838 scientists 381–400 publications: 861 scientists 401–420 publications: 918 scientists 421–440 publications: 806 scientists 441–460 publications: 771 scientists 461–480 publications: 751 scientists 481–500 publications: 713 scientists 501–520 publications: 617 scientists 521–540 publications: 611 scientists 541–560 publications: 537 scientists 561–580 publications: 504 scientists 581–600 publications: 509 scientists 601–620 publications: 396 scientists 621–640 publications: 386 scientists 641–660 publications: 371 scientists 661–680 publications: 340 scientists 681–700 publications: 336 scientists 701–720 publications: 307 scientists 721–740 publications: 259 scientists 741–760 publications: 230 scientists 761–780 publications: 228 scientists 781–800 publications: 217 scientists 801–820 publications: 204 scientists 821–840 publications: 186 scientists 841–860 publications: 177 scientists 861–880 publications: 155 scientists 881–900 publications: 139 scientists 901–920 publications: 145 scientists 921–940 publications: 116 scientists 941–960 publications: 133 scientists 961–980 publications: 91 scientists 981–1,000 publications: 96 scientists 1,001–1,020 publications: 77 scientists 1,021–1,040 publications: 70 scientists 1,041–1,060 publications: 63 scientists 1,061–1,080 publications: 77 scientists 1,081–1,100 publications: 49 scientists 1,101–1,120 publications: 54 scientists 1,121–1,140 publications: 49 scientists 1,141–1,160 publications: 51 scientists 1,161–1,180 publications: 35 scientists 1,181–1,200 publications: 39 scientists 1,201–1,220 publications: 26 scientists 1,221–1,240 publications: 37 scientists 1,241–1,260 publications: 36 scientists 1,261–1,280 publications: 27 scientists 1,281–1,300 publications: 32 scientists 1,301–1,320 publications: 28 scientists 1,321–1,340 publications: 17 scientists 1,341–1,360 publications: 30 scientists 1,361–1,380 publications: 28 scientists 1,381–1,400 publications: 17 scientists 1,401–1,420 publications: 21 scientists 1,421–1,440 publications: 15 scientists 1,441–1,460 publications: 12 scientists 1,461–1,480 publications: 12 scientists 1,481–1,500 publications: 18 scientists 1,501–1,520 publications: 14 scientists 1,521–1,540 publications: 17 scientists 1,541–1,560 publications: 15 scientists 1,561–1,580 publications: 6 scientists 1,581–1,600 publications: 2 scientists 1,601–1,620 publications: 12 scientists 1,621–1,640 publications: 11 scientists 1,641–1,660 publications: 8 scientists 1,661–1,680 publications: 5 scientists 1,681–1,700 publications: 5 scientists 1,701–1,720 publications: 10 scientists 1,721–1,740 publications: 12 scientists 1,741–1,760 publications: 14 scientists 1,761–1,780 publications: 6 scientists 1,781–1,795 publications: 5 scientists 1,796+ publications: 100 scientists
101 publications 1,796+

This scientist: 1,113 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,796 publications or more.

Gabriel M. Leung D-index placement in Medicine in 2026

The chart shows the D-index (discipline H-index) distribution of Medicine scientists ranked by Research.com in 2026. The highlighted bar marks where Gabriel M. Leung sits on this spectrum.

70–71 D-Index: 226 scientists 72–73 D-Index: 391 scientists 74–75 D-Index: 574 scientists 76–77 D-Index: 730 scientists 78–79 D-Index: 891 scientists 80–81 D-Index: 972 scientists 82–83 D-Index: 1,027 scientists 84–85 D-Index: 1,003 scientists 86–87 D-Index: 960 scientists 88–89 D-Index: 970 scientists 90–91 D-Index: 922 scientists 92–93 D-Index: 839 scientists 94–95 D-Index: 808 scientists 96–97 D-Index: 779 scientists 98–99 D-Index: 668 scientists 100–101 D-Index: 611 scientists 102–103 D-Index: 630 scientists 104–105 D-Index: 513 scientists 106–107 D-Index: 541 scientists 108–109 D-Index: 445 scientists 110–111 D-Index: 429 scientists 112–113 D-Index: 400 scientists 114–115 D-Index: 393 scientists 116–117 D-Index: 318 scientists 118–119 D-Index: 302 scientists 120–121 D-Index: 287 scientists 122–123 D-Index: 255 scientists 124–125 D-Index: 256 scientists 126–127 D-Index: 252 scientists 128–129 D-Index: 230 scientists 130–131 D-Index: 179 scientists 132–133 D-Index: 168 scientists 134–135 D-Index: 163 scientists 136–137 D-Index: 159 scientists 138–139 D-Index: 134 scientists 140–141 D-Index: 134 scientists 142–143 D-Index: 118 scientists 144–145 D-Index: 109 scientists 146–147 D-Index: 106 scientists 148–149 D-Index: 74 scientists 150–151 D-Index: 79 scientists 152–153 D-Index: 80 scientists 154–155 D-Index: 87 scientists 156–157 D-Index: 57 scientists 158–159 D-Index: 74 scientists 160–161 D-Index: 69 scientists 162–163 D-Index: 60 scientists 164–165 D-Index: 53 scientists 166–167 D-Index: 39 scientists 168–169 D-Index: 42 scientists 170–171 D-Index: 32 scientists 172–173 D-Index: 39 scientists 174–175 D-Index: 40 scientists 176–177 D-Index: 28 scientists 178–179 D-Index: 19 scientists 180–181 D-Index: 23 scientists 182–183 D-Index: 31 scientists 184–185 D-Index: 18 scientists 186–187 D-Index: 20 scientists 188–189 D-Index: 22 scientists 190–191 D-Index: 13 scientists 192–193 D-Index: 21 scientists 194–195 D-Index: 12 scientists 196–197 D-Index: 12 scientists 198–199 D-Index: 14 scientists 200–201 D-Index: 15 scientists 202–203 D-Index: 13 scientists 204–205 D-Index: 10 scientists 206–207 D-Index: 8 scientists 208–209 D-Index: 4 scientists 210–211 D-Index: 12 scientists 212–213 D-Index: 11 scientists 214–215 D-Index: 10 scientists 216 D-Index: 4 scientists 217+ D-Index: 98 scientists
70 D-Index 217+

This scientist: 113 D-Index — 76th percentile

76% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 217 D-Index or more.

Research.com Recognitions

  • 2018 - Member of the National Academy of Medicine (NAM)

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Disease
  • World War II

His scientific interests lie mostly in Demography, Pandemic, Outbreak, Public health and Epidemiology. His Demography research is multidisciplinary, relying on both Odds ratio, Case fatality rate, Incidence, Veterinary medicine and Mainland China. His Pandemic study integrates concerns from other disciplines, such as Virology, Medical emergency, Human mortality from H5N1, Health policy and Influenza A virus.

His Outbreak study incorporates themes from Transmission, Credible interval, Coronavirus and Environmental health. The study incorporates disciplines such as Middle East respiratory syndrome coronavirus, Betacoronavirus, Pneumonia and Severe acute respiratory syndrome coronavirus 2 in addition to Coronavirus. The Public health study combines topics in areas such as Cross-sectional study, Severity of illness, Cohort study and China.

His most cited work include:

  • Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-Infected Pneumonia. (7137 citations)
  • Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study. (2315 citations)
  • Temporal dynamics in viral shedding and transmissibility of COVID-19. (2051 citations)

What are the main themes of his work throughout his whole career to date?

Gabriel M. Leung spends much of his time researching Demography, Cohort study, Environmental health, Gerontology and Virology. His Demography research is multidisciplinary, incorporating elements of Body mass index, Epidemiology, Confidence interval, Public health and Pediatrics. Confidence interval connects with themes related to Odds ratio in his study.

Cohort study is a primary field of his research addressed under Internal medicine. Gabriel M. Leung interconnects Diabetes mellitus and Endocrinology in the investigation of issues within Internal medicine. Gabriel M. Leung combines subjects such as Pandemic and Immunology with his study of Virology.

He most often published in these fields:

  • Demography (19.41%)
  • Cohort study (13.86%)
  • Environmental health (11.65%)

What were the highlights of his more recent work (between 2015-2021)?

  • Demography (19.41%)
  • Coronavirus disease 2019 (3.05%)
  • Confidence interval (9.06%)

In recent papers he was focusing on the following fields of study:

His main research concerns Demography, Coronavirus disease 2019, Confidence interval, Cohort study and Severe acute respiratory syndrome coronavirus 2. His studies deal with areas such as Body mass index, Epidemiology, Young adult, Mainland China and Cohort as well as Demography. Gabriel M. Leung works mostly in the field of Epidemiology, limiting it down to topics relating to China and, in certain cases, Psychological intervention, as a part of the same area of interest.

His Mainland China research focuses on subjects like Outbreak, which are linked to Coronavirus. His Cohort study research integrates issues from Menarche and Pediatrics. Within one scientific family, Gabriel M. Leung focuses on topics pertaining to Virology under Severe acute respiratory syndrome coronavirus 2, and may sometimes address concerns connected to Pneumonia.

Between 2015 and 2021, his most popular works were:

  • Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-Infected Pneumonia. (7137 citations)
  • Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study. (2315 citations)
  • Temporal dynamics in viral shedding and transmissibility of COVID-19. (2051 citations)

In his most recent research, the most cited papers focused on:

  • Internal medicine
  • Disease
  • World War II

Gabriel M. Leung focuses on Severe acute respiratory syndrome coronavirus 2, Virology, Coronavirus disease 2019, Demography and Outbreak. His work in Virology tackles topics such as Pneumonia which are related to areas like Respiratory system. His study in Coronavirus disease 2019 is interdisciplinary in nature, drawing from both Healthcare system and 2019-20 coronavirus outbreak.

His work carried out in the field of Demography brings together such families of science as Young adult and Cohort. Gabriel M. Leung has included themes like Coronavirus and China in his Outbreak study. His research investigates the link between China and topics such as Public health that cross with problems in Psychological intervention, Incidence, Confidence interval, Preparedness and Anxiety.

Best Publications

  • Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-Infected Pneumonia.

    Qun Li;Xuhua Guan;Peng Wu;Xiaoye Wang

  • Temporal dynamics in viral shedding and transmissibility of COVID-19.

    Xi He;Eric H. Y. Lau;Peng Wu;Xilong Deng

  • Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study.

    Joseph T Wu;Kathy Leung;Gabriel M Leung

  • Nowcasting and Forecasting the Potential Domestic and International Spread of the 2019-nCoV Outbreak Originating in Wuhan, China: A Modeling Study

    Joseph T. Wu;Kathy Leung;Gabriel M. Leung

  • Respiratory virus shedding in exhaled breath and efficacy of face masks.

    Nancy H.L. Leung;Daniel K.W. Chu;Eunice Y.C. Shiu;Kwok Hung Chan

  • Identifying SARS-CoV-2-related coronaviruses in Malayan pangolins.

    Tommy Tsan-Yuk Lam;Na Jia;Ya-Wei Zhang;Marcus Ho-Hin Shum

  • Estimating clinical severity of COVID-19 from the transmission dynamics in Wuhan, China.

    Joseph T. Wu;Kathy Leung;Mary Bushman;Nishant Kishore

  • Transmission dynamics of the etiological agent of SARS in Hong Kong: impact of public health interventions.

    Steven Riley;Christophe Fraser;Christl A. Donnelly;Azra C. Ghani

  • Impact assessment of non-pharmaceutical interventions against coronavirus disease 2019 and influenza in Hong Kong: an observational study.

    Benjamin J Cowling;Sheikh Taslim Ali;Tiffany W Y Ng;Tim K Tsang

  • Epidemiological determinants of spread of causal agent of severe acute respiratory syndrome in Hong Kong

    Christl A Donnelly;Azra C Ghani;Gabriel M Leung;Anthony J Hedley

  • Role of ventilation in airborne transmission of infectious agents in the built environment - a multidisciplinary systematic review.

    Yiping Li;G.M. Leung;J.W. Tang;X. Yang

  • Hand, foot, and mouth disease in China, 2008–12: an epidemiological study

    Weijia Xing;Qiaohong Liao;Cécile Viboud;Jing Zhang

  • Lessons learnt from easing COVID-19 restrictions: an analysis of countries and regions in Asia Pacific and Europe.

    Emeline Han;Melisa Mei Jin Tan;Eva Turk;Eva Turk;Devi Sridhar

  • Catastrophic payments for health care in Asia

    Eddy van Doorslaer;Owen O'Donnell;Ravindra P. Rannan-Eliya;Aparnaa Somanathan

  • Facemasks and hand hygiene to prevent influenza transmission in households: a cluster randomized trial.

    Benjamin J Cowling;Kwok-Hung Chan;Vicky J Fang;Calvin K Y Cheng

  • Early transmissibility assessment of the N501Y mutant strains of SARS-CoV-2 in the United Kingdom, October to November 2020.

    Kathy Leung;Marcus H.H. Shum;Gabriel M. Leung;Tommy T.Y. Lam

  • Clustering and superspreading potential of SARS-CoV-2 infections in Hong Kong.

    Dillon C. Adam;Dillon C. Adam;Peng Wu;Jessica Y. Wong;Eric H. Y. Lau

  • Will Ebola change the game? Ten essential reforms before the next pandemic. the report of the Harvard-LSHTM Independent Panel on the Global Response to Ebola

    Suerie Moon;Devi Sridhar;Muhammad A Pate;Ashish K Jha

  • Influenza virus in human exhaled breath: an observational study.

    Patricia Fabian;Patricia Fabian;James J. McDevitt;James J. McDevitt;Wesley H. DeHaan;Rita O. P. Fung

  • Real-time tentative assessment of the epidemiological characteristics of novel coronavirus infections in Wuhan, China, as at 22 January 2020.

    Peng Wu;Xinxin Hao;Eric H Y Lau;Jessica Y Wong

Frequent Co-Authors

Tai Hing Lam
Tai Hing Lam University of Hong Kong
Benjamin J. Cowling
Benjamin J. Cowling University of Hong Kong
Chaoqiang Jiang
Chaoqiang Jiang City University of Hong Kong
Kwok-Hung Chan
Kwok-Hung Chan University of Hong Kong
Hongjie Yu
Hongjie Yu Fudan University
Timothy M. Uyeki
Timothy M. Uyeki Centers for Disease Control and Prevention
Hiroshi Nishiura
Hiroshi Nishiura Kyoto University
Joseph S. M. Peiris
Joseph S. M. Peiris University of Hong Kong
Wendy W. T. Lam
Wendy W. T. Lam University of Hong Kong
Christl A. Donnelly
Christl A. Donnelly University of Oxford

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