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D-Index & Metrics

Genetics

D-Index
46
Citations
30511
World Ranking
4133
National Ranking
468

Matthew Mort 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 Mort 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: 101 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

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

Matthew Mort 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 Mort 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: 46 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Overview

Matthew Mort is affiliated with Cardiff University in the United Kingdom. Their research focuses primarily on Biochemistry, Genetics, and Molecular Biology, with a particular emphasis on Genetics and Molecular Biology subfields. The scientist has contributed to areas including Cancer Research, Pathology and Forensic Medicine, and Surgery.

The main topics addressed in their work encompass:

  • Genomics and Rare Diseases
  • RNA and protein synthesis mechanisms
  • Genomic variations and chromosomal abnormalities
  • Genetic Associations and Epidemiology
  • Genomics and Phylogenetic Studies
  • Cancer Genomics and Diagnostics
  • RNA modifications and cancer

Among recent papers authored or co-authored by Matthew Mort are:

  • Inferring the molecular and phenotypic impact of amino acid variants with MutPred2, 2020, Nature Communications
  • The Human Gene Mutation Database (HGMD®): optimizing its use in a clinical diagnostic or research setting, 2020, Human Genetics
  • Developmental Gene Expression Differences between Humans and Mammalian Models, 2020, Cell Reports
  • Duodenal Adenomas and Cancer in MUTYH-associated Polyposis: An International Cohort Study, 2020, Gastroenterology
  • Heritable pattern of oxidized DNA base repair coincides with pre-targeting of repair complexes to open chromatin, 2020, Nucleic Acids Research

The venues where Matthew Mort frequently publishes include:

  • Nature Communications
  • Human Genetics
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Research Square (Research Square)
  • Cell Reports

Frequent co-authors with whom Matthew Mort collaborates are:

  • D.N. Cooper
  • Peter D. Stenson
  • David Stein
  • Avner Schlessinger
  • Yuval Itan

Best Publications

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

    Arturo López Castel;John D Cleary;Christopher E Pearson

  • Human Gene Mutation Database (HGMD): 2003 update.

    Peter Daniel Stenson;Edward Vincent Ball;Matthew Edwin Mort;Andrew David Phillips

  • The Human Gene Mutation Database: towards a comprehensive repository of inherited mutation data for medical research, genetic diagnosis and next-generation sequencing studies

    Peter D. Stenson;Matthew Mort;Edward V. Ball;Katy Evans

  • The Human Gene Mutation Database: building a comprehensive mutation repository for clinical and molecular genetics, diagnostic testing and personalized genomic medicine

    Peter D. Stenson;Matthew Mort;Edward V. Ball;Katy Shaw

  • Mapping copy number variation by population-scale genome sequencing

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

  • The Human Gene Mutation Database: 2008 update

    Peter Daniel Stenson;Matthew Mort;Edward Ball;Katy Howells

  • Automated inference of molecular mechanisms of disease from amino acid substitutions

    Biao Li;Vidhya G. Krishnan;Matthew E. Mort;Fuxiao Xin

  • Insights into hominid evolution from the gorilla genome sequence

    Aylwyn Scally;Julien Y. Dutheil;LaDeana W. Hillier;Gregory E. Jordan

  • Gene expression across mammalian organ development

    Margarida Cardoso-Moreira;Margarida Cardoso-Moreira;Jean Halbert;Delphine Valloton;Britta Velten

  • Inferring the molecular and phenotypic impact of amino acid variants with MutPred2.

    Vikas Pejaver;Vikas Pejaver;Jorge Urresti;Jose Lugo-Martinez;Jose Lugo-Martinez;Kymberleigh A. Pagel;Kymberleigh A. Pagel

  • An integrative approach to predicting the functional effects of non-coding and coding sequence variation

    Hashem A. Shihab;Mark F. Rogers;Julian Gough;Matthew E. Mort

  • A map of human genome variation from population-scale sequencing

    Richard M. Durbin;David L. Altshuler;Gonçalo R. Abecasis;David R. Bentley

  • The Human Gene Mutation Database (HGMD ® ): optimizing its use in a clinical diagnostic or research setting

    Peter D. Stenson;Matthew Mort;Edward V. Ball;Molly Chapman

  • Human Gene Mutation Database (HGMD

    Peter D. Stenson;Edward V. Ball;Matthew Mort;Andrew D. Phillips

  • A meta‐analysis of nonsense mutations causing human genetic disease

    Matthew Edwin Mort;Dobril Kirilov Ivanov;David Neil Cooper;Nadia Chuzhanova

  • Single base-pair substitutions in exon-intron junctions of human genes: nature, distribution, and consequences for mRNA splicing.

    Michael Krawczak;Nick S.T. Thomas;Bernd Hundrieser;Matthew Mort

  • FATHMM-XF: accurate prediction of pathogenic point mutations via extended features

    Mark F. Rogers;Hashem A. Shihab;Matthew E. Mort;David N. Cooper

  • Splicing factor SFRS1 recognizes a functionally diverse landscape of RNA transcripts

    Jeremy R. Sanford;Xin Wang;Matthew Mort;Natalia VanDuyn

  • The Human Gene Mutation Database (HGMD) and its exploitation in the fields of personalized genomics and molecular evolution.

    Peter Daniel Stenson;Edward Vincent Ball;Matthew Edwin Mort;Andrew David Phillips

  • Deleterious- and Disease-Allele Prevalence in Healthy Individuals: Insights from Current Predictions, Mutation Databases, and Population-Scale Resequencing

    Yali Xue;Yuan Chen;Qasim Ayub;Ni Huang

Frequent Co-Authors

David Neil Cooper
David Neil Cooper Cardiff University
Peter D. Stenson
Peter D. Stenson Cardiff University
Sean D. Mooney
Sean D. Mooney University of Washington
Predrag Radivojac
Predrag Radivojac Northeastern University
Yaoqi Zhou
Yaoqi Zhou Griffith University
Yunlong Liu
Yunlong Liu Indiana University
Yuedong Yang
Yuedong Yang Sun Yat-sen University
Michael Krawczak
Michael Krawczak Kiel University
Haiyuan Yu
Haiyuan Yu Cornell University
Jonathan Sebat
Jonathan Sebat University of California, San Diego

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