World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
120
Citations
103705
World Ranking
369
National Ranking
65

Medicine

D-Index
121
Citations
104208
World Ranking
3521
National Ranking
351

Overview

John R. B. Perry is affiliated with the University of Cambridge in the United Kingdom. Their research primarily spans the fields of Biochemistry, Genetics and Molecular Biology, as well as Medicine. Within these areas, they have made contributions to several subfields, including Genetics, Molecular Biology, Pediatrics, Perinatology and Child Health, Endocrinology, Diabetes and Metabolism, and Physiology.

The scientist's work covers a range of topics focused on genetic and molecular mechanisms. Key topics of their research include Genetic Associations and Epidemiology, Epigenetics and DNA Methylation, Birth, Development, and Health, RNA modifications and cancer, Growth Hormone and Insulin-like Growth Factors, Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities, and Regulation of Appetite and Obesity.

John R. B. Perry has published extensively in various venues, with frequent contributions to:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • UNC Libraries
  • Nature Communications
  • Nature Genetics
  • Nature

Their recent papers reflect current trends in human genetics and epidemiology, including:

  • Using human genetics to understand the disease impacts of testosterone in men and women, 2020, Nature Medicine
  • Genomic and phenotypic insights from an atlas of genetic effects on DNA methylation, 2021, Nature Genetics
  • Genetic analyses identify widespread sex-differential participation bias, 2021, Nature Genetics
  • Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability, 2021, Nature Communications
  • GDF15 linked to maternal risk of nausea and vomiting during pregnancy, 2023, Nature

The scientist collaborates with multiple researchers frequently, with notable coauthors including Ken K. Ong, Felix R. Day, Katherine A. Kentistou, Eugene J. Gardner, and Yajie Zhao. These collaborations indicate interdisciplinary and multi-institutional research efforts.

Best Publications

  • Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

    Paul R. Burton;David G. Clayton;Lon R. Cardon;Nick Craddock

  • A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity

    Timothy M. Frayling;Nicholas J. Timpson;Michael N. Weedon;Eleftheria Zeggini;Eleftheria Zeggini;Eleftheria Zeggini

  • An atlas of genetic correlations across human diseases and traits.

    Brendan Bulik-Sullivan;Brendan Bulik-Sullivan;Hilary K Finucane;Verneri Anttila;Verneri Anttila;Alexander Gusev

  • Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

    Elizabeth K. Speliotes;Elizabeth K. Speliotes;Cristen J. Willer;Sonja I. Berndt;Keri L. Monda

  • Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals

    James J. Lee;Robbee Wedow;Aysu Okbay;Edward Kong

  • Replication of Genome-Wide Association Signals in UK Samples Reveals Risk Loci for Type 2 Diabetes

    Eleftheria Zeggini;Michael N. Weedon;Cecilia M. Lindgren;Timothy M. Frayling

  • New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk

    Josée Dupuis;Josée Dupuis;Claudia Langenberg;Inga Prokopenko;Richa Saxena;Richa Saxena

  • Partitioning heritability by functional annotation using genome-wide association summary statistics.

    Hilary K Finucane;Hilary K Finucane;Brendan Bulik-Sullivan;Brendan Bulik-Sullivan;Alexander Gusev;Gosia Trynka

  • Hundreds of variants clustered in genomic loci and biological pathways affect human height

    Hana Lango Allen;Karol Estrada;Guillaume Lettre;Sonja I. Berndt

  • Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes

    E Zeggini;L J Scott;R Saxena;B F Voight

  • Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis

    Benjamin F. Voight;Benjamin F. Voight;Laura J. Scott;Valgerdur Steinthorsdottir;Andrew P. Morris

  • Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

    Andrew P Morris;Benjamin F Voight;Benjamin F Voight;Tanya M Teslovich;Teresa Ferreira

  • Genetic studies of body mass index yield new insights for obesity biology

    Adam E. Locke;Bratati Kahali;Sonja I. Berndt;Anne E. Justice

  • Genome-wide association study identifies eight loci associated with blood pressure

    Christopher Newton-Cheh;Christopher Newton-Cheh;Toby Johnson;Toby Johnson;Vesela Gateva;Martin D. Tobin

  • Genetic mechanisms of critical illness in Covid-19.

    E. Pairo-Castineira;E. Pairo-Castineira;S. Clohisey;L. Klaric;A. D. Bretherick

  • Association scan of 14,500 nonsynonymous SNPs in four diseases identifies autoimmunity variants

    Paul R Burton;David G Clayton;Lon R Cardon;Nick Craddock

  • The genetic architecture of type 2 diabetes

    Christian Fuchsberger;Christian Fuchsberger;Jason A. Flannick;Jason A. Flannick;Tanya M. Teslovich;Anubha Mahajan

  • Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

    E. K. Speliotes;C. J. Willer;S. I. Berndt;K. L. Monda

  • Erratum: New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk (Nature Genetics (2010) 42 (105-116))

    Josée Dupuis;Claudia Langenberg;Inga Prokopenko;Richa Saxena

  • Hundreds of variants clustered in genomic loci and biological pathways affect human height

    H. Lango Allen;K. Estrada;G. Lettre;S. I. Berndt

Frequent Co-Authors

Timothy M. Frayling
Timothy M. Frayling University of Geneva
Nicholas J. Wareham
Nicholas J. Wareham University of Cambridge
Tonu Esko
Tonu Esko University of Tartu
Ken K. Ong
Ken K. Ong University of Cambridge
Kari Stefansson
Kari Stefansson deCODE Genetics (Iceland)
Tim D. Spector
Tim D. Spector King's College London
Andrew P. Morris
Andrew P. Morris University of Liverpool
Unnur Thorsteinsdottir
Unnur Thorsteinsdottir deCODE Genetics (Iceland)
Cecilia M. Lindgren
Cecilia M. Lindgren University of Oxford

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