World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
79
Citations
22267
World Ranking
1639
National Ranking
55

Stephen S. Moore 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 Stephen S. Moore 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: 251 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Stephen S. Moore 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 Stephen S. Moore 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: 79 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

Stephen S. Moore is affiliated with the University of Queensland in Australia. Their research spans various fields within biochemistry, genetics, and molecular biology, with a significant focus on agricultural and biological sciences.

Their main areas of study include:

  • Biochemistry, Genetics and Molecular Biology
  • Agricultural and Biological Sciences

Within these broader disciplines, their work delves into several subfields such as:

  • Genetics
  • Molecular Biology
  • Animal Science and Zoology
  • Small Animals
  • Plant Science

The scientist's research topics cover:

  • Genetic and phenotypic traits in livestock
  • Genetic Mapping and Diversity in Plants and Animals
  • Helminth infection and control
  • Animal Nutrition and Physiology
  • Cancer-related molecular mechanisms research
  • Genetic diversity and population structure
  • Chromosomal and Genetic Variations

Stephen S. Moore's recent papers demonstrate a focus on genetics and animal science with themes related to livestock and molecular regulation. Selected publications include:

  • "Genetic control of temperament traits across species: association of autism spectrum disorder risk genes with cattle temperament" (2020) in Genetics Selection Evolution
  • "Use of whole-genome sequence data and novel genomic selection strategies to improve selection for age at puberty in tropically-adapted beef heifers" (2020) in Genetics Selection Evolution
  • "Genome-wide identification of copy number variation and association with fat deposition in thin and fat-tailed sheep breeds" (2022) in Scientific Reports
  • "Characterization of the poll allele in Brahman cattle using long-read Oxford Nanopore sequencing" (2020) in Journal of Animal Science
  • "Gene regulation could be attributed to TCF3 and other key transcription factors in the muscle of pubertal heifers" (2020) in Veterinary Medicine and Science

Frequent publication venues for Stephen S. Moore include:

  • Genetics Selection Evolution
  • Journal of Near Infrared Spectroscopy
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Research Square (Research Square)
  • Scientific Reports

Collaborations are a significant part of their research output. Frequent co-authors include:

  • Ben J. Hayes
  • Elizabeth M. Ross
  • Loan Nguyen
  • Elise A. Kho
  • Jill N. Fernandes

Best Publications

  • The Genome Sequence of Taurine Cattle: A Window to Ruminant Biology and Evolution

    Christine G. Elsik;Christine G. Elsik;Christine G. Elsik;Ross L. Tellam;Kim C. Worley;Kim C. Worley;Richard A. Gibbs

  • Development and Characterization of a High Density SNP Genotyping Assay for Cattle

    Lakshmi K. Matukumalli;Lakshmi K. Matukumalli;Cynthia T. Lawley;Robert D. Schnabel;Jeremy F. Taylor

  • Genome-Wide Survey of SNP Variation Uncovers the Genetic Structure of Cattle Breeds

    Richard A. Gibbs;Jeremy F. Taylor;Curtis P. Van Tassell

  • A genetic linkage map of the bovine genome

    W. Barendse;S.M. Armitage;L.M. Kossarek;A. Shalom

  • Relationships of feedlot feed efficiency, performance, and feeding behavior with metabolic rate, methane production, and energy partitioning in beef cattle

    J. D. Nkrumah;E. K. Okine;G. W. Mathison;K. Schmid

  • SNP discovery and allele frequency estimation by deep sequencing of reduced representation libraries

    Curtis P Van Tassell;Timothy P L Smith;Lakshmi K Matukumalli;Lakshmi K Matukumalli;Jeremy F Taylor

  • The conservation of dinucleotide microsatellites among mammalian genomes allows the use of heterologous PCR primer pairs in closely related species.

    S.S. Moore;L.L. Sargeant;T.J. King;J.S. Mattick

  • A medium density genetic linkage map of the bovine genome

    W. Barendse;D. Vaiman;S. J. Kemp;Y. Sugimoto

  • Coordinated international action to accelerate genome-to-phenome with FAANG, the Functional Annotation of Animal Genomes project

    Leif Andersson;Leif Andersson;Alan L. Archibald;Cynthia D. Bottema;Rudiger Brauning

  • Linkage of microbial ecology to phenotype: correlation of rumen microbial ecology to cattle's feed efficiency.

    Le Luo Guan;Joshua D. Nkrumah;Joshua D. Nkrumah;John A. Basarab;Stephen S. Moore

  • Association of a single nucleotide polymorphism in the calpastatin gene with carcass and meat quality traits of beef cattle.

    F. S. Schenkel;S. P. Miller;X. Ye;S. S. Moore

  • An Enhanced Linkage Map of the Sheep Genome Comprising More Than 1000 Loci

    Jillian F. Maddox;Kizanne P. Davies;Allan M. Crawford;Dennis J. Hulme

  • Genetic and phenotypic relationships of feeding behavior and temperament with performance, feed efficiency, ultrasound, and carcass merit of beef cattle

    J. D. Nkrumah;D. H. Crews Jr.;J. A. Basarab;M. A. Price

  • Genetic mapping of the black tiger shrimp Penaeus monodon with amplified fragment length polymorphism

    Kate Wilson;Yutao Li;Vicki Whan;Sigrid Lehnert

  • Polymorphisms in the bovine leptin promoter associated with serum leptin concentration, growth, feed intake, feeding behavior, and measures of carcass merit.

    J. D. Nkrumah;C. Li;J. Yu;C. Hansen

  • Whole genome linkage disequilibrium maps in cattle

    Stephanie D McKay;Robert D Schnabel;Brenda M Murdoch;Lakshmi K Matukumalli;Lakshmi K Matukumalli

  • Chromosomal localization of the callipyge gene in sheep (Ovis aries) using bovine DNA markers.

    Noelle E. Cockett;Sam P. Jackson;Tracy L. Shay;Dahlia Nielsen

  • Genetic diversity of Asian water buffalo (Bubalus bubalis): microsatellite variation and a comparison with protein-coding loci

    J. S. F. Barker;S. S. Moore;D. J. S. Hetzel;D. Evans

  • Polymorphisms and haplotypes in the bovine neuropeptide Y, growth hormone receptor, ghrelin, insulin-like growth factor 2, and uncoupling proteins 2 and 3 genes and their associations with measures of growth, performance, feed efficiency, and carcass merit in beef cattle.

    E. L. Sherman;J. D. Nkrumah;J. D. Nkrumah;B. M. Murdoch;C. Li;C. Li

  • Genetic and phenotypic relationships of feed intake and measures of efficiency with growth and carcass merit of beef cattle.

    J. D. Nkrumah;J. A. Basarab;Z. Wang;C. Li;C. Li

Frequent Co-Authors

Changxi Li
Changxi Li Agriculture and Agriculture-Food Canada
Paul Stothard
Paul Stothard University of Alberta
Graham Plastow
Graham Plastow University of Alberta
John A. Basarab
John A. Basarab University of Alberta
Sigrid A. Lehnert
Sigrid A. Lehnert Commonwealth Scientific and Industrial Research Organisation
Stephen P. Miller
Stephen P. Miller University of New England
John L. Williams
John L. Williams University of Adelaide
Le Luo Guan
Le Luo Guan University of Alberta
Erasmus K. Okine
Erasmus K. Okine University of Lethbridge
William Barendse
William Barendse Commonwealth Scientific and Industrial Research Organisation

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Each of these online options can complement a background in genetics, preparing you for a diverse range of healthcare careers.

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