World's Best Scientists 2026 revealed!
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

Jacques S. Beckmann publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Jacques S. Beckmann sits on this spectrum.

45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45 publications 703+

This scientist: 520 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

Jacques S. Beckmann D-index placement in Genetics in 2026

The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where Jacques S. Beckmann sits on this spectrum.

40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40 D-Index 160+

This scientist: 138 D-Index — 96th percentile

96% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

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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