World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
130
Citations
213580
World Ranking
2424
National Ranking
253

Simon G. Thompson 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 Simon G. Thompson 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: 384 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Simon G. Thompson 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 Simon G. Thompson 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: 130 D-Index — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Overview

Simon G. Thompson is affiliated with the University of Cambridge in the United Kingdom. Their research spans multiple disciplines, primarily focusing on computer science and medicine.

The main fields of study for Simon G. Thompson include:

  • Computer Science
  • Medicine

Within these fields, Thompson's work delves into several subfields of study, such as:

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Cardiology and Cardiovascular Medicine
  • Pulmonary and Respiratory Medicine

Their research covers various topics, notably:

  • Formal Methods in Verification
  • Blood Pressure and Hypertension Studies
  • Logic, programming, and type systems
  • Immunodeficiency and Autoimmune Disorders
  • Inflammatory Bowel Disease
  • Petri Nets in System Modeling
  • Business Process Modeling and Analysis

Simon G. Thompson's publication record includes contributions to several journals and venues:

  • arXiv (Cornell University)
  • Nature Communications
  • Circulation
  • JAMA
  • ANU Open Research (Australian National University)

Some of their recent papers are:

  • Carotid Intima-Media Thickness Progression as Surrogate Marker for Cardiovascular Risk, 2020, Circulation
  • Prostate-Specific Antigen Screening and 15-Year Prostate Cancer Mortality, 2024, JAMA
  • Somatic mosaicism and common genetic variation contribute to the risk of very-early-onset inflammatory bowel disease, 2020, Nature Communications
  • Repeated measurements of blood pressure and cholesterol improves cardiovascular disease risk prediction: an individual-participant-data meta-analysis, 2021, ANU Open Research (Australian National University)
  • Author Correction: Somatic mosaicism and common genetic variation contribute to the risk of very-early-onset inflammatory bowel disease, 2022, Nature Communications

Frequent collaborators with whom Simon G. Thompson has co-authored multiple papers include:

  • John Danesh
  • Emanuele Di Angelantonio
  • Reiner Wiest
  • Yannick Franc
  • Valérie Pittet

Best Publications

  • Measuring inconsistency in meta-analyses

    Julian P T Higgins;Simon G Thompson;Jonathan J Deeks;Douglas G Altman

  • Quantifying heterogeneity in a meta‐analysis

    Julian P. T. Higgins;Simon G. Thompson

  • Mendelian randomization analysis with multiple genetic variants using summarized data.

    Stephen Burgess;Adam Butterworth;Simon G. Thompson

  • The benefits and harms of breast cancer screening: an independent review

    M G Marmot;D G Altman;D A Cameron;J A Dewar

  • How should meta-regression analyses be undertaken and interpreted?

    Simon G. Thompson;Julian P. T. Higgins

  • Major lipids, apolipoproteins, and risk of vascular disease

    E Di Angelantonio;N Sarwar;P Perry

  • Interpreting findings from Mendelian randomization using the MR-Egger method

    Stephen Burgess;Simon G. Thompson

  • C-reactive protein concentration and risk of coronary heart disease, stroke, and mortality: an individual participant meta-analysis.

    S Kaptoge;E Di Angelantonio;G Lowe

  • Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents

    Emanuele Di Angelantonio;Shilpa N Bhupathiraju;David Wormser;Pei Gao;Pei Gao

  • Randomized trial to determine the effect of nebivolol on mortality and cardiovascular hospital admission in elderly patients with heart failure (SENIORS)

    Marcus D. Flather;Marcelo C. Shibata;Andrew J.S. Coats;Dirk J. Van Veldhuisen

  • Explaining heterogeneity in meta-analysis: a comparison of methods.

    Simon G. Thompson;Stephen J. Sharp

  • A review of instrumental variable estimators for Mendelian randomization

    Stephen Burgess;Dylan S Small;Simon Gregory Thompson

  • Lipoprotein(a) concentration and the risk of coronary heart disease, stroke, and nonvascular mortality.

    S Erqou;S Kaptoge;PL Perry;E Di Angelantonio

  • Association of Dietary, Circulating, and Supplement Fatty Acids With Coronary Risk: A Systematic Review and Meta-analysis

    Rajiv Chowdhury;Samantha Warnakula;Setor Kunutsor;Francesca Crowe

  • Plasma fibrinogen level and the risk of major cardiovascular diseases and nonvascular mortality: an individual participant meta-analysis.

    J Danesh;S Lewington;S G Thompson;Lowe Gdo.

  • Controlling the risk of spurious findings from meta-regression.

    Julian P. T. Higgins;Simon G. Thompson

  • Mortality results for randomised controlled trial of early elective surgery or ultrasonographic surveillance for small abdominal aortic aneurysms

    Charles Mccollum;J. T. Powell;A. R. Brady;L. C. Brown

  • Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants

    Stephen Burgess;Jack Bowden;Tove Fall;Erik Ingelsson

  • Value of natriuretic peptides in assessment of patients with possible new heart failure in primary care

    Martin R. Cowie;Allan D. Struthers;David A. Wood;Andrew J. S. Coats

  • Using published data in Mendelian randomization: a blueprint for efficient identification of causal risk factors

    Stephen Burgess;Robert A. Scott;Nicholas J. Timpson;George Davey Smith

Frequent Co-Authors

Stephen Burgess
Stephen Burgess University of Cambridge
Janet T. Powell
Janet T. Powell Imperial College London
John Danesh
John Danesh University of Cambridge
Peter Willeit
Peter Willeit Innsbruck Medical University
Emanuele Di Angelantonio
Emanuele Di Angelantonio University of Cambridge
Roger M. Greenhalgh
Roger M. Greenhalgh Imperial College London
Albert Hofman
Albert Hofman Harvard University
Adam S. Butterworth
Adam S. Butterworth University of Cambridge
Oscar H. Franco
Oscar H. Franco University Medical Center Utrecht
Stefan Kiechl
Stefan Kiechl Innsbruck Medical University

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