World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
118
Citations
55192
World Ranking
4040
National Ranking
155

Jack V. Tu 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 Jack V. Tu 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: 659 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Jack V. Tu 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 Jack V. Tu 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: 118 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Overview

Jack V. Tu was affiliated with the University of Toronto in Canada and contributed extensively to the field of medicine, particularly focusing on cardiology and cardiovascular medicine. Their research extended into public health, environmental and occupational health, surgery, and general health professions.

Their scientific output included work on several core topics:

  • Health Promotion and Cardiovascular Prevention
  • Health Disparities and Outcomes
  • Nutritional Studies and Diet
  • Cardiovascular Health and Risk Factors
  • Heart Failure Treatment and Management
  • Blood Pressure and Hypertension Studies
  • Veterinary Pharmacology and Anesthesia

Tu published research in multiple peer-reviewed venues, with frequent appearances in:

  • CJC Open
  • Canadian Journal of Cardiology
  • PubMed
  • American Heart Journal
  • BMJ Open

Some of the recent papers authored or co-authored by Tu included:

  • "International population-based health surveys linked to outcome data: A new resource for public health and epidemiology" (2020, PubMed)
  • "Awareness of Warning Symptoms of Heart Disease and Stroke: Results of a Follow-up Study of the Chinese Canadian Cardiovascular Health Project" (2021, CJC Open)
  • "The associations between direct and delayed critical care unit admission with mortality and readmissions among patients with heart failure" (2020, American Heart Journal)
  • "The Canadian Alliance for Healthy Hearts and Minds: How Well Does It Reflect the Canadian Population?" (2020, CJC Open)
  • "Sex-specific temporal trends in ambulatory heart failure incidence, mortality and hospitalisation in Ontario, Canada from 1994 to 2013: a population-based cohort study" (2020, BMJ Open)

Throughout their career, Tu frequently collaborated with several co-authors, including:

  • Douglas S. Lee
  • Matthias G. Friedrich
  • Jean-Claude Tardif
  • Sonia S. Anand
  • Peter C. Austin

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

  • Advantages and Disadvantages of Using Artificial Neural Networks versus Logistic Regression for Predicting Medical Outcomes

    Jack V. Tu

  • 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

  • Adherence with statin therapy in elderly patients with and without acute coronary syndromes

    C.A. Jackevicius;M. Mamdani;J.V. Tu

  • A population-based study of the drug interaction between proton pump inhibitors and clopidogrel

    David N. Juurlink;Tara Gomes;Dennis T. Ko;Dennis T. Ko;Paul E. Szmitko

  • Relation between age and cardiovascular disease in men and women with diabetes compared with non-diabetic people: a population-based retrospective cohort study

    Gillian L Booth;Gillian L Booth;Gillian L Booth;Moira K Kapral;Kinwah Fung;Jack V Tu;Jack V Tu;Jack V Tu

  • 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

  • Effects of socioeconomic status on access to invasive cardiac procedures and on mortality after acute myocardial infarction.

    D A Alter;C D Naylor;P Austin;J V Tu

  • Safety and Efficacy of Drug-Eluting and Bare Metal Stents Comprehensive Meta-Analysis of Randomized Trials and Observational Studies

    Ajay J. Kirtane;Anuj Gupta;Srinivas Iyengar;Jeffrey W. Moses

  • A multicenter study of the coding accuracy of hospital discharge administrative data for patients admitted to cardiac care units in Ontario.

    Peter C. Austin;Paul A. Daly;Jack V. Tu

  • Bootstrap Methods for Developing Predictive Models

    Peter C Austin;Jack V Tu

  • The high risk of stroke immediately after transient ischemic attack: a population-based study.

    M. D. Hill;N. Yiannakoulias;T. Jeerakathil;J. V. Tu

  • Multicenter validation of a risk index for mortality, intensive care unit stay, and overall hospital length of stay after cardiac surgery. Steering Committee of the Provincial Adult Cardiac Care Network of Ontario.

    J V Tu;S B Jaglal;C D Naylor

  • Impact of hospital nursing care on 30‐day mortality for acute medical patients

    Ann E. Tourangeau;Diane M. Doran;Linda McGillis Hall;Linda O'Brien Pallas

  • Prevalence, Predictors, and Outcomes of Primary Nonadherence After Acute Myocardial Infarction

    Cynthia A. Jackevicius;Ping Li;Jack V. Tu

  • Potentially Preventable Strokes in High-Risk Patients With Atrial Fibrillation Who Are Not Adequately Anticoagulated

    David J. Gladstone;Esther Bui;Jiming Fang;Andreas Laupacis

  • Development and validation of the Osteoporosis Risk Assessment Instrument to facilitate selection of women for bone densitometry

    Suzanne M. Cadarette;Susan B. Jaglal;Nancy Kreiger;Warren J. McIsaac

  • Prognosis and determinants of survival in patients newly hospitalized for heart failure. A population-based study

    P. Jong;E. Vowinckel;P.P. Liu;Y. Gong

  • Effectiveness and Safety of Drug-Eluting Stents in Ontario

    Jack V Tu;James Bowen;Maria Chiu;Dennis T Ko

  • Impracticability of Informed Consent in the Registry of the Canadian Stroke Network

    Jack V. Tu;Donald J. Willison;Frank L. Silver;Jiming Fang

Frequent Co-Authors

Peter C. Austin
Peter C. Austin University of Toronto
Douglas S. Lee
Douglas S. Lee University Health Network
Muhammad Mamdani
Muhammad Mamdani University of Toronto
Therese A. Stukel
Therese A. Stukel University of Toronto
Louise Pilote
Louise Pilote McGill University
Stephen E. Fremes
Stephen E. Fremes University of Toronto
Paul Dorian
Paul Dorian University of Toronto
Gustavo Saposnik
Gustavo Saposnik University of Toronto
Mark J. Eisenberg
Mark J. Eisenberg McGill University
Harlan M. Krumholz
Harlan M. Krumholz Yale University

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