World's Best Scientists 2026 revealed!
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Medicine
UK
2026

D-Index & Metrics

Medicine

D-Index
155
Citations
455883
World Ranking
924
National Ranking
97

Research.com Recognitions

  • 2026 - Research.com Medicine in United Kingdom Leader Award

Overview

Julian P T Higgins is affiliated with the University of Bristol in the United Kingdom and has made significant contributions in the field of medicine, focusing particularly on meta-analysis and systematic reviews.

The scientist's main areas of study include:

  • Medicine
  • Statistics, Probability and Uncertainty
  • Genetics
  • Molecular Biology
  • Clinical Psychology
  • Epidemiology

Their research covers topics such as:

  • Meta-analysis and systematic reviews
  • Statistical Methods in Clinical Trials
  • Genetic Associations and Epidemiology
  • Mental Health Research Topics
  • Obesity, Physical Activity, Diet
  • Health Systems, Economic Evaluations, Quality of Life
  • COVID-19 and Mental Health

Julian P T Higgins has published extensively in various venues, with frequent contributions to:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • F1000Research
  • Cochrane Database of Systematic Reviews
  • Harvard Dataverse
  • Research Synthesis Methods

Some of their recent papers include:

  • "Risk-of-bias VISualization (robvis): An R package and Shiny web app for visualizing risk-of-bias assessments", 2020, Research Synthesis Methods
  • "Strengthening the Reporting of Observational Studies in Epidemiology Using Mendelian Randomization", 2021, JAMA
  • "Association Between Administration of Systemic Corticosteroids and Mortality Among Critically Ill Patients With COVID-19", 2020, JAMA
  • "Strengthening the reporting of observational studies in epidemiology using mendelian randomisation (STROBE-MR): explanation and elaboration", 2021, BMJ
  • "CINeMA: An approach for assessing confidence in the results of a network meta-analysis", 2020, PLoS Medicine

The scientist has collaborated frequently with colleagues such as:

  • Lena Schmidt
  • Francesca Spiga
  • Sarah Dawson
  • Luke A. McGuinness
  • Jelena Savović

Best Publications

  • Measuring inconsistency in meta-analyses

    Julian P T Higgins;Simon G Thompson;Jonathan J Deeks;Douglas G Altman

  • Cochrane Handbook for Systematic Reviews of Interventions

    Julian P. T. Higgins;Sally Green

  • Assessing Risk of Bias in Included Studies

    Julian Pt Higgins;Douglas G Altman

  • Quantifying heterogeneity in a meta‐analysis

    Julian P. T. Higgins;Simon G. Thompson

  • The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials

    Julian P T Higgins;Douglas G Altman;Peter C Gøtzsche;Peter Jüni

  • ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions.

    Jonathan A. C. Sterne;Miguel A Hernan;Barnaby C Reeves;Jelena Savovic;Jelena Savovic

  • RoB 2: a revised tool for assessing risk of bias in randomised trials.

    Jonathan A.C. Sterne;Jelena Savović;Jelena Savović;Matthew J. Page;Roy G. Elbers

  • Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement

    D Moher;A Liberati;J Tetzlaff;D G Altman

  • Cochrane Handbook for Systematic Reviews of Interventions, Version 5.1.0. The Cochrane Collaboration

    Jpt Higgins;S. R. Green;J Higgins

  • 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

  • Chapter 8: Assessing risk of bias in included studies

    J P Higgins;D G Altman

  • Updated guidance for trusted systematic reviews: a new edition of the Cochrane Handbook for Systematic Reviews of Interventions.

    Miranda Cumpston;Tianjing Li;Matthew J Page;Jacqueline Chandler

  • 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

  • How should meta-regression analyses be undertaken and interpreted?

    Simon G. Thompson;Julian P. T. Higgins

  • Chapter 9: Analysing Data and Undertaking Meta-Analyses

    J J Deeks;J P Higgins;D G Altman

  • GRADE guidelines: 7. Rating the quality of evidence—inconsistency

    Gordon H. Guyatt;Andrew D. Oxman;Regina Kunz;James Woodcock

  • Interpretation of random effects meta-analyses.

    Richard D Riley;Julian P T Higgins;Jonathan J Deeks

  • Comparative efficacy and acceptability of 12 new-generation antidepressants: a multiple-treatments meta-analysis

    Andrea Cipriani;Andrea Cipriani;Toshiaki A Furukawa;Georgia Salanti;John R Geddes

  • Analysing data and undertaking meta-analyses

    Jonathan J Deeks;Julian Pt Higgins;Douglas G Altman

Frequent Co-Authors

Jonathan A C Sterne
Jonathan A C Sterne University of Bristol
Larry V. Hedges
Larry V. Hedges Northwestern University
John P. A. Ioannidis
John P. A. Ioannidis Stanford University
Julian Little
Julian Little University of Ottawa
Jonathan J Deeks
Jonathan J Deeks University of Birmingham
Douglas G. Altman
Douglas G. Altman University of Oxford
Muin J. Khoury
Muin J. Khoury Centers for Disease Control and Prevention
Andrea Cipriani
Andrea Cipriani University of Oxford
Ian R. White
Ian R. White University College London
Marta Gwinn
Marta Gwinn Emory University

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