World's Best Scientists 2026 revealed!
John P. A. Ioannidis

John P. A. Ioannidis

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Best Scientists
2025
Award Badge
Medicine
USA
2026

D-Index & Metrics

Best Scientists

D-Index
229
Citations
351943
World Ranking
95
National Ranking
67

Medicine

D-Index
233
Citations
404413
World Ranking
54
National Ranking
42

Research.com Recognitions

  • 2026 - Research.com Medicine in United States Leader Award
  • 2025 - Research.com Best Scientists Award
  • 2025 - Research.com Medicine in United States Leader Award
  • 2023 - Research.com Medicine in United States Leader Award
  • 2018 - Member of the National Academy of Medicine (NAM)
  • Member of the Association of American Physicians
  • Member of the European Academy of Sciences and Arts
  • Member of the Association of American Physicians
  • Member of the European Academy of Sciences and Arts
  • Member of the Association of American Physicians
  • Member of the European Academy of Sciences and Arts

Overview

John P. A. Ioannidis is affiliated with Stanford University in the United States and has a significant publication record in the field of Medicine. Their research spans multiple subfields, including Statistics, Probability and Uncertainty, Infectious Diseases, Public Health, Environmental and Occupational Health, General Health Professions, and Economics and Econometrics.

Their work frequently addresses key topics such as:

  • Meta-analysis and systematic reviews
  • COVID-19 Clinical Research Studies
  • COVID-19 epidemiological studies
  • Health Systems, Economic Evaluations, Quality of Life
  • SARS-CoV-2 and COVID-19 Research
  • Scientometrics and bibliometrics research
  • COVID-19 and healthcare impacts

Ioannidis has published extensively in a range of academic venues. The most common publication sites include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Clinical Epidemiology
  • European Journal of Clinical Investigation
  • BMJ
  • JAMA

Recent selected papers illustrate the scope of their research interests and collaborations:

  • "Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies" (2020, BMJ)
  • "Estimating the sample mean and standard deviation from commonly reported quantiles in meta-analysis" (2020, Data Archiving and Networked Services)
  • "Development of the Instrument to assess the Credibility of Effect Modification Analyses (ICEMAN) in randomized controlled trials and meta-analyses" (2020, Canadian Medical Association Journal)
  • "Infection fatality rate of COVID-19 inferred from seroprevalence data" (2020, Bulletin of the World Health Organization)
  • "COVID-19 Antibody Seroprevalence in Santa Clara County, California" (2020, bioRxiv)

Frequent co-authors contributing to many of their studies include:

  • David Moher
  • Cathrine Axfors
  • Steven N. Goodman
  • Despina G. Contopoulos-Ioannidis
  • Lars G. Hemkens

Throughout their career, Ioannidis has been recognized with several memberships in professional academies. These include:

  • Member of the National Academy of Medicine (2018)
  • Member of the European Academy of Sciences and Arts
  • Member of the Association of American Physicians

Best Publications

  • The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration

    Alessandro Liberati;Douglas G. Altman;Jennifer Tetzlaff;Cynthia Mulrow

  • The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration

    Alessandro Liberati;Douglas G Altman;Jennifer Tetzlaff;Cynthia Mulrow

  • Why Most Published Research Findings Are False

    John Pa Ioannidis

  • Power failure: why small sample size undermines the reliability of neuroscience

    Katherine S. Button;John P. A. Ioannidis;Claire Mokrysz;Brian A. Nosek

  • Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials

    Jonathan A C Sterne;Alex J Sutton;John P A Ioannidis;Norma Terrin

  • The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and ElaborationPRISMA: Explanation and Elaboration

    Alessandro Liberati;Douglas G. Altman;Jennifer Tetzlaff;Cynthia Mulrow

  • The PRISMA Extension Statement for Reporting of Systematic Reviews Incorporating Network Meta-analyses of Health Care Interventions: Checklist and Explanations

    Brian Hutton;Georgia Salanti;Deborah M Caldwell;Anna Chaimani

  • Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta-analysis

    Andrea Cipriani;Andrea Cipriani;Toshi A Furukawa;Georgia Salanti;Anna Chaimani;Anna Chaimani;Anna Chaimani

  • Strengthening the reporting of genetic association studies (STREGA): an extension of the STROBE statement

    Julian Little;Julian P.T. Higgins;John P.A. Ioannidis;John P.A. Ioannidis;David Moher

  • Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration.

    Karel G.M. Moons;Douglas G. Altman;Johannes B. Reitsma;John P.A. Ioannidis

  • Genome-wide association studies for complex traits: consensus, uncertainty and challenges

    Mark I. McCarthy;Mark I. McCarthy;Gonçalo R. Abecasis;Lon R. Cardon;Lon R. Cardon;David B. Goldstein

  • A manifesto for reproducible science

    Marcus R. Munafò;Brian A. Nosek;Brian A. Nosek;Dorothy V.M. Bishop;Katherine S. Button

  • Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial.

    Georgia Salanti;A.E. Ades;John P.A. Ioannidis;John P.A. Ioannidis;John P.A. Ioannidis

  • Redefine statistical significance

    Daniel J. Benjamin;James O. Berger;Magnus Johannesson;Magnus Johannesson;Brian A. Nosek;Brian A. Nosek

  • Quantitative Synthesis in Systematic Reviews

    Joseph Lau;John P.A. Ioannidis;Christopher H. Schmid

  • Replication validity of genetic association studies.

    John P.A. Ioannidis;Evangelia E. Ntzani;Thomas A. Trikalinos;Despina G. Contopoulos-Ioannidis;Despina G. Contopoulos-Ioannidis

  • Large-scale meta-analysis of genome-wide association data identifies six new risk loci for Parkinson's disease

    Mike A Nalls;Nathan Pankratz;Christina M. Lill;Chuong B. Do

  • Why most discovered true associations are inflated.

    John P. A. Ioannidis

  • Better reporting of harms in randomized trials: an extension of the CONSORT statement.

    John P A Ioannidis;Stephen J W Evans;Peter C Gøtzsche;Robert T O'Neill

  • Erratum: Power failure: Why small sample size undermines the reliability of neuroscience (Nature Reviews Neuroscience (2013) 14 (365-376))

    Katherine S. Button;John P.A. Ioannidis;Claire Mokrysz;Brian A. Nosek

Frequent Co-Authors

Evangelos Evangelou
Evangelos Evangelou University of Ioannina
Thomas A Trikalinos
Thomas A Trikalinos Brown University
Joseph Lau
Joseph Lau Chinese University of Hong Kong
Muin J. Khoury
Muin J. Khoury Centers for Disease Control and Prevention
Ioanna Tzoulaki
Ioanna Tzoulaki Imperial College London
Julian Little
Julian Little University of Ottawa
André G. Uitterlinden
André G. Uitterlinden Erasmus University Rotterdam
Kari Stefansson
Kari Stefansson deCODE Genetics (Iceland)
Unnur Styrkarsdottir
Unnur Styrkarsdottir deCODE Genetics (Iceland)
Marta Gwinn
Marta Gwinn Emory University

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