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Genetics
UK
2024
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Genetics and Molecular Biology
UK
2024

D-Index & Metrics

Genetics

D-Index
122
Citations
128650
World Ranking
336
National Ranking
61

Matthew E. Hurles 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 Matthew E. Hurles 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: 336 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Matthew E. Hurles 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 Matthew E. Hurles 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: 122 D-Index — 92nd percentile

92% 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

  • 2024 - Research.com Genetics in United Kingdom Leader Award
  • 2024 - Research.com Genetics and Molecular Biology in United Kingdom Leader Award
  • 2023 - Research.com Genetics in United Kingdom Leader Award
  • 2019 - Fellow of the Royal Society, United Kingdom
  • 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

Matthew E. Hurles is affiliated with the Wellcome Sanger Institute in the United Kingdom. Their research primarily focuses on biochemistry, genetics, and molecular biology, with significant contributions to genetics and molecular biology subfields. Their work also extends into pediatrics, perinatology and child health, cognitive neuroscience, and cancer research.

The main research topics that Matthew E. Hurles has explored include genomics and rare diseases, genomic variations and chromosomal abnormalities, genetics and neurodevelopmental disorders, genetic associations and epidemiology, CRISPR and genetic engineering, autism spectrum disorder research, and cancer genomics and diagnostics.

Hurles has published extensively, with notable recent papers including:

  • A brief history of human disease genetics, 2020, Nature
  • A cross-disorder dosage sensitivity map of the human genome, 2022, Cell
  • Genomic Diagnosis of Rare Pediatric Disease in the United Kingdom and Ireland, 2023, New England Journal of Medicine
  • The Gene Curation Coalition: A global effort to harmonize gene-disease evidence resources, 2022, Genetics in Medicine
  • Genetic correlates of phenotypic heterogeneity in autism, 2022, Nature Genetics

Frequent co-authors include:

  • Helen V. Firth
  • Caroline F. Wright
  • Hilary C. Martin
  • Ruth Y. Eberhardt
  • Petr Danecek

Hurles has contributed to publications in several venues, with the highest number of publications appearing in:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature
  • Nature Genetics
  • Genetics in Medicine
  • Nature Communications

Among the recognitions received, Hurles is a Fellow of the Royal Society, United Kingdom since 2019 and a Fellow of The Academy of Medical Sciences, United Kingdom. They are also a member of the European Molecular Biology Organization (EMBO).

Best Publications

  • A global reference for human genetic variation.

    Adam Auton;Gonçalo R. Abecasis;David M. Altshuler;Richard M. Durbin

  • An integrated map of genetic variation from 1,092 human genomes

    Goncalo R Abecasis;Adam Auton;Lisa D Brooks

  • Table S2: Trans-factors and trinucleotide repeat instability Trans-factor

    Arturo López Castel;John D Cleary;Christopher E Pearson

  • A Map of Human Genome Variation From Population-Scale Sequencing

    Gonçalo R Abecasis;David Altshuler;David Altshuler;Adam Auton

  • Global variation in copy number in the human genome

    Richard Redon;Shumpei Ishikawa;Karen R. Fitch;Lars Feuk

  • Accurate whole human genome sequencing using reversible terminator chemistry

    David R. Bentley;Shankar Balasubramanian;Harold P. Swerdlow;Harold P. Swerdlow;Geoffrey P. Smith

  • Cerebral organoids model human brain development and microcephaly

    Madeline A. Lancaster;Magdalena Renner;Carol Anne Martin;Daniel Wenzel

  • Integrating common and rare genetic variation in diverse human populations

    D M Altshuler;R A Gibbs;L Peltonen

  • Origins and functional impact of copy number variation in the human genome

    Donald F. Conrad;Dalila Pinto;Richard Redon;Richard Redon;Lars Feuk;Lars Feuk

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

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

  • The UK10K project identifies rare variants in health and disease

    K Walter;J L Min;J Huang

  • Paired-end mapping reveals extensive structural variation in the human genome.

    Jan O. Korbel;Alexander Eckehart Urban;Jason P. Affourtit;Brian Godwin

  • A Systematic Survey of Loss-of-Function Variants in Human Protein-Coding Genes

    Daniel G. MacArthur;Daniel G. MacArthur;Suganthi Balasubramanian;Adam Frankish;Ni Huang

  • The DNA sequence of the human X chromosome

    Mark T Ross;Darren V Grafham;Alison J Coffey;Steven Scherer

  • Copy number variation in human health, disease, and evolution.

    Feng Zhang;Wenli Gu;Matthew E. Hurles;James R. Lupski

  • Mapping copy number variation by population-scale genome sequencing

    Ryan E. Mills;Klaudia Walter;Chip Stewart;Robert E. Handsaker

  • Copy number variation: New insights in genome diversity

    Jennifer L. Freeman;George H. Perry;Lars Feuk;Richard Redon

  • Human evolutionary genetics : origins, peoples & disease

    Mark A. Jobling;Matthew Hurles;Chris Tyler-Smith

  • Identification of somatically acquired rearrangements in cancer using genome-wide massively parallel paired-end sequencing

    Peter J Campbell;Philip J Stephens;Erin D Pleasance;Sarah O'Meara

  • The UK10K project identifies rare variants in health and disease

    Klaudia Walter;Josine L. Min;Jie Huang;Lucy Crooks

Frequent Co-Authors

Chris Tyler-Smith
Chris Tyler-Smith Wellcome Sanger Institute
Caroline F. Wright
Caroline F. Wright Wellcome Sanger Institute
Mark A. Jobling
Mark A. Jobling University of Leicester
Michael Parker
Michael Parker University of Oxford
Nigel P. Carter
Nigel P. Carter Wellcome Sanger Institute
Charles Lee
Charles Lee The Jackson Laboratory
Francesco Muntoni
Francesco Muntoni University College London
Stephen W. Scherer
Stephen W. Scherer University of Toronto
Daniel G. MacArthur
Daniel G. MacArthur Garvan Institute of Medical Research

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