World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
88
Citations
34814
World Ranking
13001
National Ranking
532

Douglas S. Lee 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 Douglas S. Lee 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: 610 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: 488 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Douglas S. Lee 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 Douglas S. Lee 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: 399 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: 88 D-Index — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Overview

Douglas S. Lee is affiliated with the University Health Network in Canada and has contributed extensively to research in the field of medicine, particularly in cardiology and cardiovascular medicine. Their work spans various subfields including pulmonary and respiratory medicine, surgery, epidemiology, and oncology.

Their research topics cover a diverse range of clinical and medical concerns, such as:

  • Cardiac, anesthesia and surgical outcomes
  • Heart failure treatment and management
  • COVID-19 and healthcare impacts
  • Peripheral artery disease management
  • Cerebrovascular and carotid artery diseases
  • Cardiovascular function and risk factors
  • Cardiac imaging and diagnostics

Douglas S. Lee has collaborated frequently with several researchers, including:

  • Peter C. Austin
  • Husam Abdel-Qadir
  • Dennis T. Ko
  • Charles de Mestral
  • Jiming Fang

They have published their research in leading academic journals. The most frequent publication venues include:

  • Journal of Vascular Surgery
  • Journal of the American College of Cardiology
  • Canadian Journal of Cardiology
  • Circulation
  • Journal of the American Heart Association

Notable recent papers by Douglas S. Lee encompass a range of topics within clinical research and cardiology:

  • "Missing Data in Clinical Research: A Tutorial on Multiple Imputation," 2020, Canadian Journal of Cardiology
  • "CCS/CHFS Heart Failure Guidelines Update: Defining a New Pharmacologic Standard of Care for Heart Failure With Reduced Ejection Fraction," 2021, Canadian Journal of Cardiology
  • "Age dependent associations of risk factors with heart failure: pooled population based cohort study," 2021, BMJ
  • "Machine learning vs. conventional statistical models for predicting heart failure readmission and mortality," 2020, ESC Heart Failure
  • "Association of Influenza Vaccination With Cardiovascular Risk," 2022, JAMA Network Open

Best Publications

  • Outcome of heart failure with preserved ejection fraction in a population-based study.

    R. Sacha Bhatia;Jack V. Tu;Jack V. Tu;Douglas S. Lee;Peter C. Austin

  • Rates of Hyperkalemia after Publication of the Randomized Aldactone Evaluation Study

    David N. Juurlink;Muhammad M. Mamdani;Douglas S. Lee;Alexander Kopp

  • Introduction to the Analysis of Survival Data in the Presence of Competing Risks.

    Peter C. Austin;Douglas S. Lee;Jason P. Fine

  • Predicting mortality among patients hospitalized for heart failure. Derivation and validation of a clinical model

    D.S. Lee;P.C. Austin;J.L. Rouleau;P.P. Liu

  • Relation of Disease Pathogenesis and Risk Factors to Heart Failure With Preserved or Reduced Ejection Fraction: Insights From the Framingham Heart Study of the National Heart, Lung, and Blood Institute

    Douglas S. Lee;Philimon Gona;Philimon Gona;Ramachandran S. Vasan;Ramachandran S. Vasan;Martin G. Larson;Martin G. Larson

  • Atrial Fibrillation Begets Heart Failure and Vice Versa: Temporal Associations and Differences in Preserved Versus Reduced Ejection Fraction.

    Rajalakshmi Santhanakrishnan;Na Wang;Martin G. Larson;Jared W. Magnani

  • Gamma glutamyl transferase and metabolic syndrome, cardiovascular disease, and mortality risk: the Framingham Heart Study.

    Douglas S. Lee;Jane C. Evans;Sander J. Robins;Peter W. Wilson

  • Cyclo-oxygenase-2 inhibitors versus non-selective non-steroidal anti-inflammatory drugs and congestive heart failure outcomes in elderly patients: a population-based cohort study.

    Muhammad Mamdani;David N Juurlink;David N Juurlink;Douglas S Lee;Paula A Rochon

  • Missing Data in Clinical Research: A Tutorial on Multiple Imputation

    Peter C. Austin;Peter C. Austin;Peter C. Austin;Ian R. White;Douglas S. Lee;Stef van Buuren;Stef van Buuren

  • Comparison of coding of heart failure and comorbidities in administrative and clinical data for use in outcomes research.

    Douglas S Lee;Linda Donovan;Peter C Austin;Yanyan Gong

  • Association of temporal trends in risk factors and treatment uptake with coronary heart disease mortality, 1994-2005.

    Harindra C. Wijeysundera;Márcio Machado;Farah Farahati;Xuesong Wang

  • Predictors of New-Onset Heart Failure: Differences in Preserved Versus Reduced Ejection Fraction

    Jennifer E. Ho;Asya Lyass;Douglas S. Lee;Ramachandran S. Vasan

  • Using methods from the data-mining and machine-learning literature for disease classification and prediction: a case study examining classification of heart failure subtypes.

    Peter C. Austin;Jack V. Tu;Jennifer E. Ho;Daniel Levy

  • High-Density Lipoprotein Cholesterol and Cause-Specific Mortality in Individuals Without Previous Cardiovascular Conditions: The CANHEART Study.

    Dennis T. Ko;David A. Alter;Helen Guo;Maria Koh

  • Left Ventricular Remodeling and Ventricular Arrhythmias After Myocardial Infarction

    Martin St John Sutton;Douglas Lee;Jean Lucien Rouleau;Steven Goldman

  • The Association of Obesity and Cardiometabolic Traits With Incident HFpEF and HFrEF.

    Nazir Savji;Wouter C. Meijers;Traci M. Bartz;Vijeta Bhambhani

  • Cardiac Dysfunction and Noncardiac Dysfunction as Precursors of Heart Failure With Reduced and Preserved Ejection Fraction in the Community

    Carolyn S.P. Lam;Asya Lyass;Asya Lyass;Elisabeth Kraigher-Krainer;Joseph M. Massaro

  • Lifetime Analysis of Hospitalizations and Survival of Patients Newly-Admitted with Heart Failure

    Soohun Chun;Jack V. Tu;Harindra C. Wijeysundera;Peter C. Austin

  • A systematic review and meta-analysis of studies comparing readmission rates and mortality rates in patients with heart failure.

    Femida H. Gwadry-Sridhar;Virginia Flintoft;Douglas S. Lee;Hui Lee

  • Predicting Heart Failure With Preserved and Reduced Ejection Fraction The International Collaboration on Heart Failure Subtypes

    Jennifer E. Ho;Jennifer E. Ho;Danielle Enserro;Frank P. Brouwers;Jorge R. Kizer

Frequent Co-Authors

Peter C. Austin
Peter C. Austin University of Toronto
Jack V. Tu
Jack V. Tu University of Toronto
Ramachandran S. Vasan
Ramachandran S. Vasan The University of Texas Health Science Center at San Antonio
Therese A. Stukel
Therese A. Stukel University of Toronto
Daniel Levy
Daniel Levy National Institutes of Health
Emelia J. Benjamin
Emelia J. Benjamin Boston University
Paul Dorian
Paul Dorian University of Toronto
Jeff S. Healey
Jeff S. Healey Population Health Research Institute
Thomas J. Wang
Thomas J. Wang Vanderbilt University
Andrew D. Krahn
Andrew D. Krahn University of British Columbia

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Related Online Degrees & Career Pathways

If you’re considering a future in medicine but looking for flexible or alternative educational routes, there are several online degrees and specialized career pathways worth exploring. These programs can help advance your healthcare career or provide an entry point into the field even if you’re not pursuing a traditional MD.

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Each of these online pathways offers different entry requirements, costs, and time commitments, so explore the options that best fit your goals and lifestyle.

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