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Jacques S. Beckmann

Jacques S. Beckmann

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Genetics
Switzerland
2026
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Genetics and Molecular Biology
Switzerland
2024

D-Index & Metrics

Genetics

D-Index
138
Citations
89507
World Ranking
196
National Ranking
3

Medicine

D-Index
138
Citations
88387
World Ranking
1803
National Ranking
23

Research.com Recognitions

  • 2026 - Research.com Genetics in Switzerland Leader Award
  • 2025 - Research.com Genetics in Switzerland Leader Award
  • 2024 - Research.com Genetics in Switzerland Leader Award
  • 2024 - Research.com Genetics and Molecular Biology in Switzerland Leader Award
  • 2023 - Research.com Genetics in Switzerland Leader Award
  • 2022 - Research.com Genetics and Molecular Biology in Switzerland Leader Award

Overview

Jacques S. Beckmann is affiliated with the University of Lausanne in Switzerland. Their research primarily spans the fields of Biochemistry, Genetics and Molecular Biology, as well as Medicine.

Their subfields of study include Molecular Biology, Genetics, Cancer Research, Public Health, Environmental and Occupational Health, and Cardiology and Cardiovascular Medicine.

Beckmann's scientific work covers a range of main topics such as:

  • Genomics and Rare Diseases
  • Cancer Genomics and Diagnostics
  • Biomedical Text Mining and Ontologies
  • Bioinformatics and Genomic Networks
  • Muscle Physiology and Disorders
  • Computational Drug Discovery Methods
  • Cardiomyopathy and Myosin Studies

Their recent published papers include:

  • GA4GH: International policies and standards for data sharing across genomic research and healthcare (2021), published in Cell Genomics
  • A harmonized meta-knowledgebase of clinical interpretations of somatic genomic variants in cancer (2020), published in Nature Genetics
  • Genome-wide association study identifies 48 common genetic variants associated with handedness (2020), published in Nature Human Behaviour
  • The GA4GH Phenopacket schema defines a computable representation of clinical data (2022), published in Nature Biotechnology
  • Drug-target identification in COVID-19 disease mechanisms using computational systems biology approaches (2024), published in Frontiers in Immunology

Frequent coauthors in Beckmann's work include:

  • Tõnu Esko
  • Michael Baudis
  • Robert R. Freimuth
  • Melissa Haendel
  • Lindsay Smith

Their contributions have appeared in several publication venues with notable frequency, such as:

  • UNC Libraries
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Biological Chemistry
  • Cell Genomics
  • Nature Genetics

Best Publications

  • 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

  • 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

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

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

  • 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

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

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

  • Targeted Disruption of the Mouse Caspase 8 Gene Ablates Cell Death Induction by the TNF Receptors, Fas/Apo1, and DR3 and Is Lethal Prenatally

    Eugene E Varfolomeev;Marcus Schuchmann;Victor Luria;Nuchanard Chiannilkulchai

  • Genetic Variation in IL28B Is Associated With Chronic Hepatitis C and Treatment Failure: A Genome-Wide Association Study

    Andri Rauch;Zoltán Kutalik;Zoltán Kutalik;Patrick Descombes;Tao Cai

  • 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

  • A gene map of the human genome

    G. D. Schuler;M. S. Boguski;E. A. Stewart;L. D. Stein

  • 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

  • Mutations in the proteolytic enzyme calpain 3 cause limb-girdle muscular dystrophy type 2A

    Isabelle Richard;Odile Broux;Valéerie Allamand;Françoise Fougerousse

  • FoldIndex©: a simple tool to predict whether a given protein sequence is intrinsically unfolded

    Jaime Prilusky;Clifford E. Felder;Tzviya Zeev-Ben-Mordehai;Edwin H. Rydberg

  • Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution

    Iris M. Heid;Anne U. Jackson;Joshua C. Randall;Tthomas W. Winkler

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

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

  • Familial Hyperglycemia Due to Mutations in Glucokinase -- Definition of a Subtype of Diabetes Mellitus

    Froguel P;Zouali H;Vionnet N;Velho G

  • Genome-wide association analysis identifies 20 loci that influence adult height

    M N Weedon;H Lango;C M Lindgren;C M Lindgren;C Wallace

  • A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance.

    Alisa K. Manning;Alisa K. Manning;Alisa K. Manning;Robert A. Scott;Jonna L. Grimsby

  • Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways

    Robert A Scott;Vasiliki Lagou;Ryan P Welch;Eleanor Wheeler

  • 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

Zoltán Kutalik
Zoltán Kutalik University of Lausanne
Sven Bergmann
Sven Bergmann Swiss Institute of Bioinformatics
Marjo-Riitta Järvelin
Marjo-Riitta Järvelin Imperial College London
Kari Stefansson
Kari Stefansson deCODE Genetics (Iceland)
Unnur Thorsteinsdottir
Unnur Thorsteinsdottir deCODE Genetics (Iceland)
Andres Metspalu
Andres Metspalu University of Tartu
Ruth J. F. Loos
Ruth J. F. Loos University of Copenhagen
Igor Rudan
Igor Rudan University of Edinburgh
Toby Johnson
Toby Johnson Queen Mary University of London
Inês Barroso
Inês Barroso University of Exeter

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