World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
92
Citations
50879
World Ranking
987
National Ranking
486

Simon Tavaré 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 Simon Tavaré 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: 279 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Simon Tavaré 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 Simon Tavaré 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: 92 D-Index — 77th percentile

77% 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

  • 2018 - Member of the National Academy of Sciences
  • 2018 - Fellow of the American Mathematical Society For contributions to population genetics and computational biology, and for service to the profession.
  • 2011 - Fellow of the Royal Society, United Kingdom
  • 2004 - Fellow of the American Statistical Association (ASA)
  • 1998 - Fellow of the American Association for the Advancement of Science (AAAS)
  • Fellow of The Academy of Medical Sciences, United Kingdom
  • Member of the European Molecular Biology Organization (EMBO)
  • Fellow of The Academy of Medical Sciences, United Kingdom
  • Member of the European Molecular Biology Organization (EMBO)

Overview

Simon Tavaré is affiliated with Columbia University in the United States. Their research spans multiple fields, with notable contributions in Biochemistry, Genetics and Molecular Biology, Mathematics, and Medicine. Their work is particularly concentrated in the subfields of Molecular Biology, Artificial Intelligence, Cancer Research, Statistics and Probability, and Mathematical Physics.

The scientist's research topics include Cancer Genomics and Diagnostics, Bayesian Methods and Mixture Models, Single-cell and Spatial Transcriptomics, Stochastic Processes and Statistical Mechanics, Cell Image Analysis Techniques, Esophageal Cancer Research and Treatment, and Markov Chains and Monte Carlo Methods.

Simon Tavaré has published extensively in various scientific venues. Frequent publication outlets include arXiv (Cornell University), Nature Communications, bioRxiv (Cold Spring Harbor Laboratory), Nature, and Cancer Discovery.

Recent papers authored or co-authored by Simon Tavaré include:

  • Imaging mass cytometry and multiplatform genomics define the phenogenomic landscape of breast cancer (2020, Nature Cancer)
  • Clonal fitness inferred from time-series modelling of single-cell cancer genomes (2021, Nature)
  • Identification of Subtypes of Barrett's Esophagus and Esophageal Adenocarcinoma Based on DNA Methylation Profiles and Integration of Transcriptome and Genome Data (2020, Gastroenterology)
  • Single-Cell RNA Sequencing Unifies Developmental Programs of Esophageal and Gastric Intestinal Metaplasia (2023, Cancer Discovery)
  • Machine learning to predict early recurrence after oesophageal cancer surgery (2020, British journal of surgery)

Frequent co-authors working alongside Simon Tavaré include:

  • Samuel Aparício
  • Ignacio Vázquez-Garćıa
  • Khanh N. Dinh
  • Rebecca C. Fitzgerald
  • Ginny Devonshire

Simon Tavaré's contributions have been recognized by several professional societies and organizations. Their awards and honors include:

  • Fellow of the American Mathematical Society (2018) for contributions to population genetics and computational biology, and service to the profession
  • Member of the National Academy of Sciences (2018)
  • Fellow of the Royal Society, United Kingdom (2011)
  • Fellow of the American Statistical Association (ASA) (2004)
  • Fellow of the American Association for the Advancement of Science (AAAS) (1998)
  • Fellow of The Academy of Medical Sciences, United Kingdom
  • Member of the European Molecular Biology Organization (EMBO)

Best Publications

  • The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups

    Christina Curtis;Christina Curtis;Sohrab P Shah;Suet-Feung Chin;Gulisa Turashvili

  • Some probabilistic and statistical problems in the analysis of DNA sequences

    Simon Tavaré

  • Pan-cancer analysis of whole genomes

    Peter J. Campbell;Gad Getz;Jan O. Korbel;Joshua M. Stuart

  • Relative Impact of Nucleotide and Copy Number Variation on Gene Expression Phenotypes

    Barbara E. Stranger;Matthew S. Forrest;Mark Dunning;Catherine E. Ingle

  • Intratumor heterogeneity in human glioblastoma reflects cancer evolutionary dynamics

    Andrea Sottoriva;Andrea Sottoriva;Andrea Sottoriva;Inmaculada Spiteri;Sara G. M. Piccirillo;Anestis Touloumis

  • Population genomics of human gene expression

    Barbara E. Stranger;Alexandra C. Nica;Matthew S. Forrest;Antigone Dimas

  • MicroRNA expression profiling of human breast cancer identifies new markers of tumor subtype

    Cherie Blenkiron;Leonard D Goldstein;Natalie P Thorne;Inmaculada Spiteri

  • Inferring Coalescence Times From DNA Sequence Data

    Simon Tavare;David J Balding;Robert C Griffiths;Peter Donnelly

  • Autophagy mediates the mitotic senescence transition

    Andrew R.J. Young;Masako Narita;Manuela Ferreira;Kristina Kirschner

  • Patterns of somatic structural variation in human cancer genomes

    Yilong Li;Nicola D Roberts;Jeremiah A Wala;Jeremiah A Wala;Ofer Shapira;Ofer Shapira

  • A Bayesian deconvolution strategy for immunoprecipitation-based DNA methylome analysis

    Thomas A. Down;Vardhman K. Rakyan;Daniel J. Turner;Paul Flicek

  • Line-of-descent and genealogical processes, and their applications in population genetics models

    Simon Tavaré

  • Genome-Wide Associations of Gene Expression Variation in Humans

    Barbara E Stranger;Matthew S Forrest;Andrew G Clark;Andrew G Clark;Mark J Minichiello

  • Linkage disequilibrium: what history has to tell us.

    Magnus Nordborg;Simon Tavaré

  • Spatial Coupling of mTOR and Autophagy Augments Secretory Phenotypes

    Masako Narita;Andrew R. J. Young;Satoko Arakawa;Shamith A. Samarajiwa

  • beadarray: R classes and methods for Illumina bead-based data.

    Mark J. Dunning;Mike L. Smith;Matthew E. Ritchie;Simon Tavaré

  • Piwi and piRNAs Act Upstream of an Endogenous siRNA Pathway to Suppress Tc3 Transposon Mobility in the Caenorhabditis elegans Germline

    Partha P. Das;Partha P. Das;Partha P. Das;Marloes P. Bagijn;Marloes P. Bagijn;Leonard D. Goldstein;Julie R. Woolford;Julie R. Woolford

  • Similar gene expression patterns characterize aging and oxidative stress in Drosophila melanogaster

    Gary N. Landis;Diana Abdueva;Dmitriy Skvortsov;Junsheng Yang

  • Coalescents and Genealogical Structure Under Neutrality

    Peter Donnelly;Simon Tavare

  • Ancestral Inference in Population Genetics

    R. C. Griffiths;Simon Tavare

Frequent Co-Authors

John C. Marioni
John C. Marioni European Bioinformatics Institute
Richard Arratia
Richard Arratia University of Southern California
Carlos Caldas
Carlos Caldas University of Cambridge
Rebecca C. Fitzgerald
Rebecca C. Fitzgerald University of Cambridge
Christina Curtis
Christina Curtis Stanford University
Nuno L. Barbosa-Morais
Nuno L. Barbosa-Morais University of Lisbon
Paul A.W. Edwards
Paul A.W. Edwards University of Cambridge
Robert C. Griffiths
Robert C. Griffiths Monash University
Colin Watts
Colin Watts University of Birmingham
John Tower
John Tower University of Southern California

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