World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
134
Citations
79200
World Ranking
228
National Ranking
119

Marc Vidal 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 Marc Vidal 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: 312 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Marc Vidal 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 Marc Vidal 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: 134 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Overview

Marc Vidal is affiliated with Harvard University in the United States. Their research primarily spans the field of Biochemistry, Genetics, and Molecular Biology, with a focus on several subfields including Molecular Biology, Genetics, Cell Biology, Immunology, and Epidemiology.

The scientist's work covers a range of topics that include:

  • Bioinformatics and Genomic Networks
  • Genomics and Chromatin Dynamics
  • Microbial Metabolic Engineering and Bioproduction
  • RNA Research and Splicing
  • Advanced Proteomics Techniques and Applications
  • RNA and protein synthesis mechanisms
  • Genetic Associations and Epidemiology

Marc Vidal has contributed to multiple recent papers, among which are:

  • "A reference map of the human binary protein interactome" (2020), published in Nature
  • "A comprehensive library of human transcription factors for cell fate engineering" (2020), published in Nature Biotechnology
  • "Comprehensive characterization of protein-protein interactions perturbed by disease mutations" (2021), published in Nature Genetics
  • "Global BioID-based SARS-CoV-2 proteins proximal interactome unveils novel ties between viral polypeptides and host factors involved in multiple COVID19-associated mechanisms" (2020), published in bioRxiv (Cold Spring Harbor Laboratory)
  • "A proactive genotype-to-patient-phenotype map for cystathionine beta-synthase" (2020), published in Genome Medicine

The scientist often collaborates with several frequent co-authors, including:

  • David E. Hill
  • Michael A. Calderwood
  • Tong Hao
  • Jean-Claude Twizere
  • Kerstin Spirohn

Marc Vidal regularly publishes in various scientific journals and venues. The most frequent venues of publication include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • Circulation
  • Zenodo (CERN European Organization for Nuclear Research)
  • Endoscopy

Best Publications

  • The human disease network

    Kwang Il Goh;Michael E. Cusick;David Valle;Barton Childs

  • Towards a proteome-scale map of the human protein–protein interaction network

    Jean François Rual;Kavitha Venkatesan;Tong Hao;Tomoko Hirozane-Kishikawa

  • A Mitochondrial Protein Compendium Elucidates Complex I Disease Biology

    David J. Pagliarini;Sarah E. Calvo;Betty Chang;Sunil A. Sheth

  • A Map of the Interactome Network of the Metazoan C. elegans

    Siming Li;Christopher M. Armstrong;Nicolas Bertin;Hui Ge

  • Evidence for dynamically organized modularity in the yeast protein–protein interaction network

    Jing-Dong J. Han;Nicolas Bertin;Tong Hao;Debra S. Goldberg

  • Interactome Networks and Human Disease

    Marc Vidal;Michael E. Cusick;Albert-László Barabási;Albert-László Barabási;Albert-László Barabási

  • High-Quality Binary Protein Interaction Map of the Yeast Interactome Network

    Haiyuan Yu;Pascal Braun;Muhammed A Yildirim;Irma Lemmens

  • COT drives resistance to RAF inhibition through MAP kinase pathway reactivation

    Cory M Johannessen;Jesse S. Boehm;So Young Kim;Sapana R. Thomas;Sapana R. Thomas

  • Drug—target network

    Muhammed A. Yildirim;Kwang Il Goh;Kwang Il Goh;Kwang Il Goh;Michael E. Cusick;Albert László Barabási;Albert László Barabási;Albert László Barabási

  • Uncovering disease-disease relationships through the incomplete interactome

    Jörg Menche;Amitabh Sharma;Maksim Kitsak;Maksim Kitsak;Susan Dina Ghiassian;Susan Dina Ghiassian

  • A proteome-scale map of the human interactome network

    Thomas Rolland;Murat Taşan;Benoit Charloteaux;Samuel J. Pevzner

  • Toward Improving Caenorhabditis elegans Phenome Mapping With an ORFeome-Based RNAi Library

    Jaen François Rual;Julian Ceron;John Koreth;Tong Hao

  • Protein Interaction Mapping in C. elegans Using Proteins Involved in Vulval Development

    Albertha J. M. Walhout;Raffaella Sordella;Xiaowei Lu;James L. Hartley

  • An empirical framework for binary interactome mapping

    Kavitha Venkatesan;Kavitha Venkatesan;Jean François Rual;Alexei Vazquez;Alexei Vazquez;Ulrich Stelzl

  • How many human proteoforms are there

    Ruedi Aebersold;Jeffrey N. Agar;I. Jonathan Amster;Mark S. Baker

  • A Protein–Protein Interaction Network for Human Inherited Ataxias and Disorders of Purkinje Cell Degeneration

    Janghoo Lim;Tong Hao;Chad Shaw;Akash J. Patel

  • A reference map of the human binary protein interactome

    Katja Luck;Dae Kyum Kim;Luke Lambourne;Kerstin Spirohn

  • Evidence for Network Evolution in an Arabidopsis Interactome Map

    Matija Dreze;Anne-Ruxandra Carvunis;Benoit Charloteaux

  • Independently evolved virulence effectors converge onto hubs in a plant immune system network

    M. Shahid Mukhtar;Anne-Ruxandra Carvunis;Anne-Ruxandra Carvunis;Matija Dreze;Matija Dreze;Petra Epple

  • human disease network

    Kwang-Il Goh;Michael E. Cusick;David Valle;Barton Childs

Frequent Co-Authors

David E. Hill
David E. Hill Harvard University
Frederick P. Roth
Frederick P. Roth Lunenfeld-Tanenbaum Research Institute
Albert-László Barabási
Albert-László Barabási Northeastern University
Yves Jacob
Yves Jacob Institut Pasteur
Albertha J.M. Walhout
Albertha J.M. Walhout University of Massachusetts Chan Medical School
Jan Tavernier
Jan Tavernier Ghent University
Pierre-Olivier Vidalain
Pierre-Olivier Vidalain Claude Bernard University Lyon 1
Fabio Piano
Fabio Piano New York University
Haiyuan Yu
Haiyuan Yu Cornell University
Joseph R. Ecker
Joseph R. Ecker Salk Institute for Biological Studies

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