World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
59
Citations
18365
World Ranking
3206
National Ranking
394

Computer Science

D-Index
54
Citations
15131
World Ranking
4486
National Ranking
273

Christophe Dessimoz 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 Christophe Dessimoz 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: 135 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Christophe Dessimoz 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 Christophe Dessimoz 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: 59 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Christophe Dessimoz is affiliated with University College London in the United Kingdom. Their research primarily falls within the field of Biochemistry, Genetics and Molecular Biology, with a focus on subfields including Molecular Biology, Genetics, Artificial Intelligence, Plant Science, and Ecology.

Their work covers a variety of topics such as Genomics and Phylogenetic Studies, Machine Learning in Bioinformatics, RNA and protein synthesis mechanisms, Bioinformatics and Genomic Networks, Genetic diversity and population structure, Biomedical Text Mining and Ontologies, as well as Semantic Web and Ontologies.

Frequent publication venues for Christophe Dessimoz include bioRxiv (Cold Spring Harbor Laboratory), Zenodo (CERN European Organization for Nuclear Research), F1000Research, Bioinformatics, and Nucleic Acids Research.

Key recent papers authored or co-authored by Christophe Dessimoz are:

  • OMA orthology in 2021: website overhaul, conserved isoforms, ancestral gene order and more, 2020, Nucleic Acids Research
  • Quality assessment of gene repertoire annotations with OMArk, 2024, Nature Biotechnology
  • The phylogenetic range of bacterial and viral pathogens of vertebrates, 2020, Molecular Ecology
  • Want to track pandemic variants faster? Fix the bioinformatics bottleneck, 2021, Nature
  • The Quest for Orthologs orthology benchmark service in 2022, 2022, Nucleic Acids Research

Frequent co-authors collaborating with Christophe Dessimoz include:

  • Yannis Nevers
  • Natasha Glover
  • Adrian Altenhoff
  • David Moi
  • Alex Warwick Vesztrocy

Best Publications

  • Towards practical, high-capacity, low-maintenance information storage in synthesized DNA

    Nick Goldman;Paul Bertone;Siyuan Chen;Christophe Dessimoz

  • Allele-Specific HLA Loss and Immune Escape in Lung Cancer Evolution

    Nicholas McGranahan;Rachel Rosenthal;Crispin T. Hiley;Crispin T. Hiley;Andrew J. Rowan

  • GOATOOLS: A Python library for Gene Ontology analyses.

    D. V. Klopfenstein;Liangsheng Zhang;Brent S. Pedersen;Fidel Ramírez

  • Survey of Branch Support Methods Demonstrates Accuracy, Power, and Robustness of Fast Likelihood-based Approximation Schemes

    Maria Anisimova;Manuel Gil;Manuel Gil;Jean-François Dufayard;Christophe Dessimoz;Christophe Dessimoz

  • Transient structural variations have strong effects on quantitative traits and reproductive isolation in fission yeast.

    Daniel C. Jeffares;Clemency Jolly;Mimoza Hoti;Doug Speed

  • Structural variant calling: the long and the short of it

    Medhat Mahmoud;Nastassia Gobet;Nastassia Gobet;Diana Ivette Cruz-Dávalos;Diana Ivette Cruz-Dávalos;Ninon Mounier

  • Approximate Bayesian computation

    Mikael Sunnåker;Alberto Giovanni Busetto;Elina Numminen;Jukka Corander

  • Phylogenetic and functional assessment of orthologs inference projects and methods.

    Adrian M. Altenhoff;Christophe Dessimoz

  • An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur

  • The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

    Naihui Zhou;Yuxiang Jiang;Timothy R. Bergquist;Alexandra J. Lee

  • Inferring horizontal gene transfer.

    Matt Ravenhall;Nives Škunca;Florent Lassalle;Christophe Dessimoz

  • An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T Clark;Asma R Bankapur

  • Current methods for automated filtering of multiple sequence alignments frequently worsen single-gene phylogenetic inference

    Ge Tan;Ge Tan;Matthieu Muffato;Christian Ledergerber;Javier Herrero;Javier Herrero

  • Resolving the Ortholog Conjecture: Orthologs Tend to Be Weakly, but Significantly, More Similar in Function than Paralogs

    Adrian M. Altenhoff;Romain A. Studer;Romain A. Studer;Romain A. Studer;Marc Robinson-Rechavi;Marc Robinson-Rechavi;Christophe Dessimoz;Christophe Dessimoz;Christophe Dessimoz

  • Base-calling for next-generation sequencing platforms

    Christian Ledergerber;Christophe Dessimoz

  • OMA 2011: orthology inference among 1000 complete genomes

    Adrian M. Altenhoff;Adrian Schneider;Gaston H. Gonnet;Christophe Dessimoz

  • Standardized benchmarking in the quest for orthologs

    Adrian M Altenhoff;Adrian M Altenhoff;Brigitte Boeckmann;Salvador Capella-Gutierrez;Daniel A Dalquen

  • The OMA orthology database in 2015: function predictions, better plant support, synteny view and other improvements

    Adrian M. Altenhoff;Nives Škunca;Nives Škunca;Nives Škunca;Natasha Glover;Clément-Marie Train

  • Phylo.io: Interactive Viewing and Comparison of Large Phylogenetic Trees on the Web

    Oscar Robinson;David Dylus;Christophe Dessimoz

  • The OMA orthology database in 2018: retrieving evolutionary relationships among all domains of life through richer web and programmatic interfaces.

    Adrian M Altenhoff;Adrian M Altenhoff;Natasha M Glover;Natasha M Glover;Clément-Marie Train;Clément-Marie Train;Klara Kaleb

  • Additional file 1 of An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur

Frequent Co-Authors

Marc Robinson-Rechavi
Marc Robinson-Rechavi University of Lausanne
Toni Gabaldón
Toni Gabaldón Institució Catalana de Recerca i Estudis Avançats
Maria Jesus Martin
Maria Jesus Martin European Bioinformatics Institute
Ioannis Xenarios
Ioannis Xenarios University of Lausanne
Nick Goldman
Nick Goldman European Bioinformatics Institute
Paul D. Thomas
Paul D. Thomas University of Southern California
Erik L. L. Sonnhammer
Erik L. L. Sonnhammer Stockholm University
Daisuke Kihara
Daisuke Kihara Purdue University West Lafayette
David T. Jones
David T. Jones University College London

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