World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
86
Citations
49906
World Ranking
1231
National Ranking
165

Richard Mott 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 Richard Mott 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: 217 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Richard Mott 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 Richard Mott 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: 86 D-Index — 72nd percentile

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

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

Overview

Richard Mott is affiliated with University College London in the United Kingdom. Their research primarily focuses on the fields of Biochemistry, Genetics and Molecular Biology, with significant contributions to Agricultural and Biological Sciences. They have a total of 72 publications in the former and 23 in the latter, underscoring a broad investigation into genetic and molecular mechanisms related to plants and animals.

Their work extensively covers subfields such as Genetics, Plant Science, Molecular Biology, Physiology, and Statistics and Probability. Among these, Genetics is the most prominent with 53 publications, followed by Plant Science and Molecular Biology with 19 and 17 publications respectively.

The main topics of Richard Mott's research include:

  • Genetic Mapping and Diversity in Plants and Animals
  • Genetic and phenotypic traits in livestock
  • Genetic Associations and Epidemiology
  • Genetics and Plant Breeding
  • Wheat and Barley Genetics and Pathology
  • Adipose Tissue and Metabolism
  • Forensic and Genetic Research

Among their recent papers are:

  • "Multi-parent populations in crops: a toolbox integrating genomics and genetic mapping with breeding" (2020, Heredity)
  • "Limited haplotype diversity underlies polygenic trait architecture across 70 years of wheat breeding" (2021, Genome biology)
  • "Genome-wide association coupled gene to gene interaction studies unveil novel epistatic targets among major effect loci impacting rice grain chalkiness" (2020, Plant Biotechnology Journal)
  • "Whole genome resequencing and phenotyping of MAGIC population for high resolution mapping of drought tolerance in chickpea" (2023, The Plant Genome)
  • "Multi-trait ensemble genomic prediction and simulations of recurrent selection highlight importance of complex trait genetic architecture for long-term genetic gains in wheat" (2023, in silico Plants)

They frequently publish in venues such as bioRxiv (Cold Spring Harbor Laboratory), Genome biology, Genetics, BMC Genomics, and UNC Libraries. Their publication record includes 8 papers in bioRxiv and 3 in Genome biology, reflecting engagement with both preprint and peer-reviewed platforms.

Richard Mott collaborates regularly with several co-authors, including Fuad A. Iraqi, Ian Mackay, Michael Scott, Olufunmilayo Ladejobi, and Alison R. Bentley. The most frequent collaborator appears to be Fuad A. Iraqi, with 10 joint publications, followed by Ian Mackay with 8.

Best Publications

  • Initial sequencing and comparative analysis of the mouse genome.

    Robert H. Waterston;Kerstin Lindblad-Toh;Ewan Birney;Jane Rogers

  • A novel gene containing a trinucleotide repeat that is expanded and unstable on Huntington's disease chromosomes

    Marcy E. MacDonald;Christine M. Ambrose;Mabel P. Duyao;Richard H. Myers

  • A novel gene containing a trinucleotide repeat that is expanded and unstable on Huntington's disease chromosomes. The Huntington's Disease Collaborative Research Group.

    M Shah;N Datson;L Srinidhi;VP Stanton

  • Mouse genomic variation and its effect on phenotypes and gene regulation

    T M Keane;L Goodstadt;P Danecek;M A White

  • 1,135 Genomes Reveal the Global Pattern of Polymorphism in Arabidopsis thaliana

    Carlos Alonso-Blanco;Jorge Andrade;Claude Becker;Felix Bemm

  • The Collaborative Cross, a community resource for the genetic analysis of complex traits

    Gary A. Churchill;David C. Airey;Hooman Allayee;Joe M. Angel

  • Recent improvements to the SMART domain-based sequence annotation resource

    Ivica Letunic;Leo Goodstadt;Nicholas J. Dickens;Tobias Doerks

  • Sparse whole-genome sequencing identifies two loci for major depressive disorder

    Na Cai;Tim B. Bigdeli;Warren Kretzschmar;Yihan Li

  • Multiple reference genomes and transcriptomes for Arabidopsis thaliana

    Xiangchao Gan;Oliver Stegle;Jonas Behr;Joshua G. Steffen

  • The genome architecture of the collaborative cross mouse genetic reference population

    Fuad A. Iraqi;Mustafa Mahajne;Yasser Salaymah;Hani Sandovski

  • A Multiparent Advanced Generation Inter-Cross to Fine-Map Quantitative Traits in Arabidopsis thaliana

    Paula X. Kover;Paula X. Kover;William Valdar;Joseph Trakalo;Nora Scarcelli

  • Genome-wide genetic association of complex traits in heterogeneous stock mice

    William Valdar;Leah C Solberg;Leah C Solberg;Dominique Gauguier;Stephanie Burnett

  • Strategies for mapping and cloning quantitative trait genes in rodents

    Jonathan Flint;William Valdar;Sagiv Shifman;Richard Mott

  • The 1001 Genomes Project for Arabidopsis thaliana

    Detlef Weigel;Richard F. Mott

  • A first-generation linkage disequilibrium map of human chromosome 22.

    Elisabeth Dawson;Gonçalo R. Abecasis;Gonçalo R. Abecasis;Suzannah Bumpstead;Yuan Chen

  • A method for fine mapping quantitative trait loci in outbred animal stocks.

    Richard Mott;Christopher J. Talbot;Maria G. Turri;Allan C. Collins

  • Positional cloning of a quantitative trait locus on chromosome 13q14 that influences immunoglobulin E levels and asthma.

    Youming Zhang;Nicholas I Leaves;Gavin G Anderson;Chris P Ponting

  • Replication timing of the human genome

    Kathryn Woodfine;Heike Fiegler;David M. Beare;John E. Collins

  • Finding the molecular basis of quantitative traits: successes and pitfalls.

    Jonathan Flint;Richard Mott

  • Instability of highly expanded CAG repeats in mice transgenic for the Huntington's disease mutation

    Laura Mangiarini;Kirupa Sathasivam;Amarbirpal Mahal;Richard Mott

Frequent Co-Authors

Jonathan Flint
Jonathan Flint University of California, Los Angeles
Dominique Gauguier
Dominique Gauguier McGill University
Dominic P. Kwiatkowski
Dominic P. Kwiatkowski University of Oxford
Richard R. Copley
Richard R. Copley Wellcome Centre for Human Genetics
Jiannis Ragoussis
Jiannis Ragoussis McGill University
Nicholas P. Harberd
Nicholas P. Harberd University of Oxford
Thomas M. Keane
Thomas M. Keane European Bioinformatics Institute
Hans Lehrach
Hans Lehrach Max Planck Society
David J. Adams
David J. Adams Wellcome Sanger Institute
Jonathan Marchini
Jonathan Marchini Regeneron (United States)

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