World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
144
Citations
150042
World Ranking
1401
National Ranking
819

Tom Greene 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 Tom Greene 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: 575 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Tom Greene 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 Tom Greene 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: 144 D-Index — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Overview

Tom Greene is affiliated with the University of Utah in the United States and has a substantial body of work in the field of medicine, with a particular focus on cardiology, endocrinology, diabetes, and nephrology. Their research spans over 400 publications, with significant contributions in diseases related to chronic kidney conditions, diabetes management, and cardiovascular health.

The scientist has published extensively on topics such as diabetes treatment and management, blood pressure and hypertension studies, chronic kidney disease associated with diabetes, pancreatic function, dialysis and renal disease management, and evaluations of health systems with considerations of economics and quality of life.

Among the frequent publication venues, Tom Greene has contributed to the Journal of the American Society of Nephrology, Journal of the American College of Cardiology, JAMA Network Open, Clinical Journal of the American Society of Nephrology, and Kidney International. This diverse range of journals reflects a multidisciplinary approach intersecting nephrology, cardiology, and general clinical research.

Key recent papers by Tom Greene include:

  • Dapagliflozin in Patients with Chronic Kidney Disease (2020) - New England Journal of Medicine
  • Effects of dapagliflozin on major adverse kidney and cardiovascular events in patients with diabetic and non-diabetic chronic kidney disease: a prespecified analysis from the DAPA-CKD trial (2020) - The Lancet Diabetes & Endocrinology
  • A pre-specified analysis of the DAPA-CKD trial demonstrates the effects of dapagliflozin on major adverse kidney events in patients with IgA nephropathy (2021) - Kidney International
  • Effect of MRI-Guided Fibrosis Ablation vs Conventional Catheter Ablation on Atrial Arrhythmia Recurrence in Patients With Persistent Atrial Fibrillation (2022) - JAMA
  • Effect of dapagliflozin on urinary albumin excretion in patients with chronic kidney disease with and without type 2 diabetes: a prespecified analysis from the DAPA-CKD trial (2021) - The Lancet Diabetes & Endocrinology

Throughout these studies, Tom Greene has collaborated frequently with coauthors including Hiddo J.L. Heerspink, Glenn M. Chertow, Alfred K. Cheung, David C. Wheeler, and Jincheng Shen. These collaborations suggest a broad network within nephrology and cardiovascular research domains.

Best Publications

  • A New Equation to Estimate Glomerular Filtration Rate

    Andrew S. Levey;Lesley A. Stevens;Christopher H. Schmid;Yaping (Lucy) Zhang

  • A more accurate method to estimate glomerular filtration rate from serum creatinine: A new prediction equation

    Andrew S. Levey;Juan P. Bosch;Julia Breyer Lewis;Tom Greene

  • Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate.

    Andrew S. Levey;Josef Coresh;Tom Greene;Lesley A. Stevens

  • Canagliflozin and Renal Outcomes in Type 2 Diabetes and Nephropathy

    Vlado Perkovic;Vlado Perkovic;Meg J. Jardine;Meg J. Jardine;Bruce Neal;Bruce Neal;Bruce Neal;Severine Bompoint

  • Prevalence of chronic kidney disease and decreased kidney function in the adult US population: Third national health and nutrition examination survey

    Josef Coresh;Brad C. Astor;Tom Greene;Garabed Eknoyan

  • Estimating glomerular filtration rate from serum creatinine and cystatin C.

    Lesley A. Inker;Christopher H. Schmid;Hocine Tighiouart;John H. Eckfeldt

  • Assessing Kidney Function — Measured and Estimated Glomerular Filtration Rate

    Lesley A. Stevens;Josef Coresh;Tom Greene;Andrew S. Levey

  • Dapagliflozin in Patients with Chronic Kidney Disease

    Hiddo J.L. Heerspink;Bergur V. Stefánsson;Ricardo Correa-Rotter;Glenn M. Chertow

  • Low-level environmental lead exposure and children's intellectual function: an international pooled analysis.

    Bruce P. Lanphear;Richard Hornung;Richard Hornung;Jane Khoury;Jane Khoury;Kimberly Yolton

  • Effect of blood pressure lowering and antihypertensive drug class on progression of hypertensive kidney disease: Results from the AASK trial

    Jackson T. Wright;George Bakris;Tom Greene;Larry Y. Agodoa

  • Effect of Dialysis Dose and Membrane Flux in Maintenance Hemodialysis

    Garabed Eknoyan;Gerald J. Beck;Alfred K. Cheung;John T. Daugirdas

  • Expressing the Modification of Diet in Renal Disease Study equation for estimating glomerular filtration rate with standardized serum creatinine values.

    Andrew S. Levey;Josef Coresh;Tom Greene;Jane Marsh

  • Blood pressure control, proteinuria, and the progression of renal disease. The Modification of Diet in Renal Disease Study.

    Peterson Jc;Adler S;Burkart Jm;Greene T

  • Recommendations for Improving Serum Creatinine Measurement: A Report from the Laboratory Working Group of the National Kidney Disease Education Program

    Gary L. Myers;W. Greg Miller;Josef Coresh;James Fleming

  • Estimating GFR Using Serum Cystatin C Alone and in Combination With Serum Creatinine: A Pooled Analysis of 3,418 Individuals With CKD

    Lesley A Stevens;Josef Coresh;Christopher H Schmid;Harold I Feldman

  • Effect of ramipril vs amlodipine on renal outcomes in hypertensive nephrosclerosis: a randomized controlled trial.

    L. Y. Agodoa;L. Appel;G. L. Bakris;G. Beck

  • Chronic Kidney Disease Epidemiology Collaboration. Using standardized serum creatinine values in the Modification of Diet in Renal Disease study equation for estimating glomerular filtration rate (Annals of Internal Medicine (2006) 145, (247-254))

    A. S. Levey;J. Coresh;T. Greene;L. A. Stevens

  • New Creatinine- and Cystatin C-Based Equations to Estimate GFR without Race.

    Lesley A Inker;Nwamaka D Eneanya;Josef Coresh;Hocine Tighiouart

  • Lower estimated glomerular filtration rate and higher albuminuria are associated with mortality and end-stage renal disease. A collaborative meta-analysis of kidney disease population cohorts

    Brad C. Astor;Kunihiro Matsushita;Ron T. Gansevoort;Marije Van Der Velde

  • Predictors of the progression of renal disease in the Modification of Diet in Renal Disease Study

    Lawrence G. Hunsicker;Sharon Adler;Arlene Caggiula

Frequent Co-Authors

Andrew S. Levey
Andrew S. Levey Tufts Medical Center
Alfred K. Cheung
Alfred K. Cheung University of Utah
John W. Kusek
John W. Kusek National Institutes of Health
Gerald J. Beck
Gerald J. Beck Cleveland Clinic
Glenn M. Chertow
Glenn M. Chertow Stanford University
Hiddo J.L. Heerspink
Hiddo J.L. Heerspink University of Groningen
Josef Coresh
Josef Coresh New York University
Michael V. Rocco
Michael V. Rocco Wake Forest University
Lawrence J. Appel
Lawrence J. Appel Johns Hopkins University
Matthew H. Samore
Matthew H. Samore University of Utah

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