World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
98
Citations
55374
World Ranking
796
National Ranking
112

Medicine

D-Index
98
Citations
55338
World Ranking
8749
National Ranking
853

Overview

Weihua Zhang is affiliated with Imperial College London in the United Kingdom. Their research spans fields primarily within Biochemistry, Genetics and Molecular Biology, as well as Medicine. Within these broad areas, Zhang has contributed extensively to subfields including Molecular Biology, Genetics, Cancer Research, Oncology, and Plant Science.

The scientist's main topics of work focus on Genetic Associations and Epidemiology, RNA modifications and cancer, Plant biochemistry and biosynthesis, Epigenetics and DNA Methylation, Cancer-related gene regulation, Cancer-related molecular mechanisms research, and Plant Gene Expression Analysis.

Weihua Zhang has published multiple papers in various scientific journals. Notable recent publications include:

  • Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals, 2020, Nature Genetics
  • DNA methylation and lipid metabolism: an EWAS of 226 metabolic measures, 2021, Clinical Epigenetics
  • Epigenetic Link Between Statin Therapy and Type 2 Diabetes, 2020, Diabetes Care
  • Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis, 2022, Genome Biology
  • USP7, negatively regulated by miR-409-5p, aggravates hypoxia-induced cardiomyocyte injury, 2020, Apmis

The frequent co-authors collaborating with Weihua Zhang include:

  • Aki S. Havulinna
  • Jian'an Luan
  • Guðmar Þorleifsson
  • Helen R. Warren
  • Daníel F. Guðbjartsson

Regarding publication venues, Zhang has contributed to journals and platforms such as UNC Libraries, Genes, BMC Medical Genomics, Frontiers in Cardiovascular Medicine, and the Journal of Oncology.

Best Publications

  • Biological, clinical and population relevance of 95 loci for blood lipids

    Tanya M. Teslovich;Kiran Musunuru;Albert V. Smith;Andrew C. Edmondson

  • Discovery and refinement of loci associated with lipid levels

    Cristen J. Willer;Ellen M. Schmidt;Sebanti Sengupta;Gina M. Peloso;Gina M. Peloso;Gina M. Peloso

  • A comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease

    M Nikpay;A Goel;Won H-H.;L M Hall

  • Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk

    Georg B. Ehret;Georg B. Ehret;Georg B. Ehret;Patricia B. Munroe;Kenneth M. Rice;Murielle Bochud

  • Defining the role of common variation in the genomic and biological architecture of adult human height

    Andrew R. Wood;Tonu Esko;Jian Yang;Sailaja Vedantam

  • Large-scale association analysis identifies new risk loci for coronary artery disease

    Panos Deloukas;Stavroula Kanoni;Christina Willenborg;Martin Farrall

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

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

  • Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps.

    Anubha Mahajan;Daniel Taliun;Matthias Thurner;Neil R. Robertson

  • Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits.

    Evangelos Evangelou;Evangelos Evangelou;Helen R. Warren;Helen R. Warren;David Mosen-Ansorena;Borbala Mifsud

  • The genetic architecture of type 2 diabetes

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

  • Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries

    Mary F. Feitosa;Aldi T. Kraja;Daniel I. Chasman;Yun J. Sung

  • Common variants associated with plasma triglycerides and risk for coronary artery disease

    Ron Do;Cristen J. Willer;Ellen M. Schmidt;Sebanti Sengupta

  • Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.

    Anubha Mahajan;Min Jin Go;Weihua Zhang;Jennifer E. Below

  • Genome-wide association analyses identify 18 new loci associated with serum urate concentrations

    Anna Köttgen;Anna Köttgen;Eva Albrecht;Alexander Teumer;Veronique Vitart

  • Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity

    Simone Wahl;Alexander Drong;Benjamin Lehne;Marie Loh;Marie Loh;Marie Loh

  • A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease

    Majid Nikpay;Anuj Goel;Hong-Hee Won;Leanne M. Hall

  • The UK10K project identifies rare variants in health and disease

    Klaudia Walter;Josine L. Min;Jie Huang;Lucy Crooks

  • Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits

    Evangelos Evangelou;Helen R. Warren;David Mosen-Ansorena;Borbala Mifsu

  • The genetic architecture of type 2 diabetes

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

  • Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility

    Anubha Mahajan;Min Jin Go;Weihua Zhang;Jennifer E. Below

Frequent Co-Authors

John C. Chambers
John C. Chambers Guy's and St Thomas' NHS Foundation Trust
Jaspal S. Kooner
Jaspal S. Kooner Imperial College London
Andrew P. Morris
Andrew P. Morris University of Liverpool
Markus Perola
Markus Perola Finnish Institute for Health and Welfare
Tonu Esko
Tonu Esko University of Tartu
Nicholas J. Wareham
Nicholas J. Wareham University of Cambridge
Ruth J. F. Loos
Ruth J. F. Loos University of Copenhagen
Paul Elliott
Paul Elliott Imperial College London
Nilesh J. Samani
Nilesh J. Samani University of Leicester

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