World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
100
Citations
74198
World Ranking
8098
National Ranking
794

Gary S. Collins 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 Gary S. Collins 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: 407 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Gary S. Collins 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 Gary S. Collins 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: 100 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Overview

Gary S. Collins is affiliated with the University of Oxford in the United Kingdom. Their primary field of study is Medicine, with a focus on several subfields including Statistics, Probability and Uncertainty, Surgery, Economics and Econometrics, Health Informatics, and Artificial Intelligence.

The scientist's research covers key topics such as Meta-analysis and systematic reviews, Artificial Intelligence in Healthcare and Education, Health Systems, Economic Evaluations, Quality of Life, Machine Learning in Healthcare, Sports injuries and prevention, Sepsis Diagnosis and Treatment, and Radiomics and Machine Learning in Medical Imaging.

Recent significant publications by Gary S. Collins include:

  • TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods, 2024, BMJ
  • Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal, 2020, BMJ
  • Calculating the sample size required for developing a clinical prediction model, 2020, BMJ
  • Global, regional and national burden of osteoarthritis 1990-2017: a systematic analysis of the Global Burden of Disease Study 2017, 2020, Annals of the Rheumatic Diseases
  • Global, regional, and national burden of low back pain, 1990-2020, its attributable risk factors, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021, 2023, The Lancet Rheumatology

The venues where Gary S. Collins has published most frequently include:

  • BMJ
  • Journal of Clinical Epidemiology
  • BMJ Open
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Medicine

Frequent co-authors collaborating with Collins are:

  • Richard D Riley
  • Paula Dhiman
  • Garrett S. Bullock
  • Ben Van Calster
  • Karel G.M. Moons

Best Publications

  • Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): the TRIPOD Statement.

    G S Collins;J B Reitsma;D G Altman;K G M Moons

  • Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration.

    Karel G.M. Moons;Douglas G. Altman;Johannes B. Reitsma;John P.A. Ioannidis

  • Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal

    Laure Wynants;Laure Wynants;Ben Van Calster;Ben Van Calster;Gary S Collins;Gary S Collins;Richard D Riley

  • Guidelines for Accurate and Transparent Health Estimates Reporting: the GATHER Statement

    Gretchen A. Stevens;Leontine Alkema;Robert E. Black;J. Ties Boerma

  • Global, regional and national burden of osteoarthritis 1990-2017: A systematic analysis of the Global Burden of Disease Study 2017

    Saeid Safiri;Ali Asghar Kolahi;Damian Hoy;Emma Smith

  • PROBAST: A tool to assess the risk of bias and applicability of prediction model studies

    Robert F. Wolff;Karel G.M. Moons;Richard D. Riley;Penny F. Whiting

  • Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist.

    Karel G. M. Moons;Joris A. H. de Groot;Walter Bouwmeester;Yvonne Vergouwe

  • Calculating the sample size required for developing a clinical prediction model.

    Richard D Riley;Joie Ensor;Kym I E Snell;Frank E Harrell

  • A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models

    Evangelia Christodoulou;Jie Ma;Gary S. Collins;Ewout W. Steyerberg

  • PROBAST : A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration

    Karel G.M. Moons;Robert F. Wolff;Richard D. Riley;Penny F. Whiting

  • Prediction models for cardiovascular disease risk in the general population: systematic review

    Johanna A A G Damen;Lotty Hooft;Ewoud Schuit;Ewoud Schuit;Thomas P A Debray

  • Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies

    Myura Nagendran;Yang Chen;Christopher A Lovejoy;Anthony C Gordon;Anthony C Gordon

  • Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes

    Richard D. Riley;Kym I.E. Snell;Joie Ensor;Danielle L. Burke

  • External validation of multivariable prediction models: a systematic review of methodological conduct and reporting.

    Gary S. Collins;Joris A. De Groot;Susan Dutton;Omar Omar

  • Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. The TRIPOD Group.

    Gary S. Collins;Johannes B. Reitsma;Douglas G. Altman;Karel G.M. Moons

  • Sample size considerations for the external validation of a multivariable prognostic model: a resampling study.

    Gary S. Collins;Emmanuel O. Ogundimu;Douglas G. Altman

  • COVID-19 prevalence and mortality in patients with cancer and the effect of primary tumour subtype and patient demographics: a prospective cohort study.

    Lee Lyw.;Cazier J-B.;T Starkey;Briggs Sew.

  • Reporting of artificial intelligence prediction models.

    Gary S Collins;Karel G M Moons

  • Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection

    L Wynants;B Van Calster;Bonten Mmj.;G Collins

  • Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies in medical imaging.

    M Nagendran;Y Chen;C A Lovejoy;A C Gordon

Frequent Co-Authors

Douglas G. Altman
Douglas G. Altman University of Oxford
Karel G.M. Moons
Karel G.M. Moons Utrecht University
Nigel K. Arden
Nigel K. Arden University of Oxford
Johannes B. Reitsma
Johannes B. Reitsma Utrecht University
Sarah E Lamb
Sarah E Lamb University of Exeter
Andrew Judge
Andrew Judge University of Bristol
Sally Hopewell
Sally Hopewell University of Oxford
Andrew Carr
Andrew Carr University of Oxford
Mohammad Ali Mansournia
Mohammad Ali Mansournia Tehran University of Medical Sciences
Ewout W. Steyerberg
Ewout W. Steyerberg Leiden University Medical Center

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