World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
128
Citations
58629
World Ranking
2722
National Ranking
1521

Sebastian Schneeweiss 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 Sebastian Schneeweiss 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: 686 publications — 80th percentile

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

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

Sebastian Schneeweiss 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 Sebastian Schneeweiss 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: 128 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Overview

Sebastian Schneeweiss is affiliated with Brigham and Women's Hospital in the United States. Their scholarly work primarily spans the field of Medicine, with a strong focus on subfields including Statistics and Probability, Economics and Econometrics, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, and Epidemiology.

The scientist's research topics cover a range centered on health systems, economic evaluations, and quality of life. They have contributed extensively to diabetes treatment and management, statistical methods in clinical trials, advanced causal inference techniques, meta-analysis and systematic reviews, dermatology and skin diseases, as well as metabolism, diabetes, and cancer.

Frequent publication venues for this researcher include:

  • Pharmacoepidemiology and Drug Safety
  • UNC Libraries
  • Clinical Pharmacology & Therapeutics
  • Journal of the American Academy of Dermatology
  • Diabetes Obesity and Metabolism

Notable recent papers authored or coauthored by Sebastian Schneeweiss include:

  • Emulation of Randomized Clinical Trials With Nonrandomized Database Analyses, 2023, JAMA
  • Emulating Randomized Clinical Trials With Nonrandomized Real-World Evidence Studies, 2020, Circulation
  • Comparison of Machine Learning Methods With Traditional Models for Use of Administrative Claims With Electronic Medical Records to Predict Heart Failure Outcomes, 2020, JAMA Network Open
  • STaRT-RWE: structured template for planning and reporting on the implementation of real world evidence studies, 2021, BMJ
  • Improving Transparency to Build Trust in Real-World Secondary Data Studies for Hypothesis Testing-Why, What, and How: Recommendations and a Road Map from the Real-World Evidence Transparency Initiative, 2020, Value in Health

Frequent collaborators in Schneeweiss's research include:

  • Elisabetta Patorno
  • Robert J. Glynn
  • Shirley Wang
  • Rishi Desai
  • Richard Wyss

Sebastian Schneeweiss's scientific contributions display a multidisciplinary approach integrating clinical epidemiology, data science, and health economics, often focusing on improving methods in real-world evidence studies and clinical trial emulation. Their work contributes to understanding and applying advanced causal inference techniques and statistical methods in various medical contexts, particularly relating to chronic disease management and outcomes prediction.

Best Publications

  • Variable Selection for Propensity Score Models

    M. Alan Brookhart;Sebastian Schneeweiss;Kenneth J. Rothman;Kenneth J. Rothman;Robert J. Glynn

  • A review of uses of health care utilization databases for epidemiologic research on therapeutics

    Sebastian Schneeweiss;Jerry Avorn

  • Risk of Death in Elderly Users of Conventional vs. Atypical Antipsychotic Medications

    Philip S. Wang;Sebastian Schneeweiss;Jerry Avorn;Michael A. Fischer

  • High-dimensional propensity score adjustment in studies of treatment effects using health care claims data

    Sebastian Schneeweiss;Jeremy A. Rassen;Robert J. Glynn;Jerry Avorn

  • A combined comorbidity score predicted mortality in elderly patients better than existing scores

    Joshua J. Gagne;Robert J. Glynn;Jerry Avorn;Raisa Levin

  • Performance of Comorbidity Scores to Control for Confounding in Epidemiologic Studies using Claims Data

    Sebastian Schneeweiss;John D. Seeger;Malcolm Maclure;Philip S. Wang

  • Full coverage for preventive medications after myocardial infarction

    Niteesh K. Choudhry;Jerry Avorn;Robert J. Glynn;Elliott M. Antman

  • Repeated hospitalizations predict mortality in the community population with heart failure.

    Soko Setoguchi;Lynne Warner Stevenson;Sebastian Schneeweiss

  • Relationship between selective cyclooxygenase-2 inhibitors and acute myocardial infarction in older adults.

    Daniel H. Solomon;Sebastian Schneeweiss;Robert J. Glynn;Yuka Kiyota

  • Indications for Propensity Scores and Review of their Use in Pharmacoepidemiology

    Robert J. Glynn;Sebastian Schneeweiss;Til Stürmer

  • A review of the application of propensity score methods yielded increasing use, advantages in specific settings, but not substantially different estimates compared with conventional multivariable methods.

    Til Stürmer;Manisha Joshi;Robert J. Glynn;Jerry Avorn

  • Accuracy of Medicare claims-based diagnosis of acute myocardial infarction: estimating positive predictive value on the basis of review of hospital records.

    Yuka Kiyota;Sebastian Schneeweiss;Robert J Glynn;Carolyn C Cannuscio

  • Patterns of cardiovascular risk In rheumatoid arthritis

    Daniel H Solomon;Nicola J Goodson;Jeffrey N Katz;Michael E Weinblatt

  • Network-based approach to prediction and population-based validation of in silico drug repurposing

    Feixiong Cheng;Feixiong Cheng;Rishi J. Desai;Diane E. Handy;Ruisheng Wang

  • One-to-many propensity score matching in cohort studies

    Jeremy A. Rassen;Abhi A. Shelat;Jessica Myers;Robert J. Glynn

  • Good practices for real-world data studies of treatment and/or comparative effectiveness: Recommendations from the joint ISPOR-ISPE Special Task Force on real-world evidence in health care decision making

    Marc L. Berger;Harold Sox;Richard J. Willke;Diana L. Brixner

  • Incidence and predictors for chronicity of headache in patients with episodic migraine

    Z. Katsarava;S. Schneeweiss;T. Kurth;U. Kroener

  • The Comparative Safety of Analgesics in Older Adults With Arthritis

    Daniel H. Solomon;Jeremy A. Rassen;Robert J. Glynn;Joy Lee

  • Risk of death associated with the use of conventional versus atypical antipsychotic drugs among elderly patients

    Sebastian Schneeweiss;Soko Setoguchi;Alan Brookhart;Colin Dormuth

  • Use of comorbidity scores for control of confounding in studies using administrative databases

    Sebastian Schneeweiss;Malcolm Maclure

Frequent Co-Authors

Robert J. Glynn
Robert J. Glynn Harvard Medical School
Jerry Avorn
Jerry Avorn Brigham and Women's Hospital
Daniel H. Solomon
Daniel H. Solomon Brigham and Women's Hospital
Kenneth J. Rothman
Kenneth J. Rothman Boston University
M. Alan Brookhart
M. Alan Brookhart University of North Carolina at Chapel Hill
Niteesh K. Choudhry
Niteesh K. Choudhry Brigham and Women's Hospital
Philip S. Wang
Philip S. Wang Harvard Medical School
William H. Shrank
William H. Shrank Humana (United States)
Til Stürmer
Til Stürmer University of North Carolina at Chapel Hill
Alexander M. Walker
Alexander M. Walker Harvard University

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