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Stephen S. Moore

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 79 1639 1559 55 53 251 22267

Stephen S. Moore publications per year

The chart shows the history of publications by Stephen S. Moore between 1990 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Stephen S. Moore published across 36 years, from 1990 to 2025, averaging 7.6 papers a year. Output peaked at 24 publications in 2009. 2 of the 272 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1990 to 2025. Vertical axis: number of publications, 0 to 24. Peak 24 publications in 2009. 1990: 1 publication 1991: 1 publication 1992: 0 publications 1993: 3 publications 1994: 3 publications 1995: 1 publication 1996: 1 publication 1997: 4 publications 1998: 1 publication 1999: 4 publications 2000: 5 publications 2001: 4 publications 2002: 4 publications 2003: 6 publications 2004: 12 publications 2005: 4 publications 2006: 11 publications 2007: 9 publications 2008: 16 publications 2009: 24 publications 2010: 15 publications 2011: 19 publications 2012: 13 publications 2013: 16 publications 2014: 23 publications 2015: 11 publications 2016: 11 publications 2017: 10 publications 2018: 11 publications 2019: 8 publications 2020: 9 publications 2021: 2 publications 2022: 5 publications 2023: 3 publications 2024: 1 publication 2025: 1 publication
1990 2025

272 publications in total across all disciplines

View publications per year as a table
Stephen S. Moore: publications per year, 1990 to 2025
Year Publications
1990 1
1991 1
1992 0
1993 3
1994 3
1995 1
1996 1
1997 4
1998 1
1999 4
2000 5
2001 4
2002 4
2003 6
2004 12
2005 4
2006 11
2007 9
2008 16
2009 24
2010 15
2011 19
2012 13
2013 16
2014 23
2015 11
2016 11
2017 10
2018 11
2019 8
2020 9
2021 2
2022 5
2023 3
2024 1
2025 1
Total 272
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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.

No. of scientists
50 100 150 200
Bar chart with 67 bars. Horizontal axis: publications, 45–54 to 703+. Vertical axis: number of scientists, 0 to 217. Most scientists, 217, have 125–134 publications. The last bar groups every scientist with 703 publications or more. The highlighted bar, 245–254 publications, is where this scientist sits. 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
45–54 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.

View publications distribution as a table
Number of Genetics scientists by publication count, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
Publications Scientists This scientist
45–54 6
55–64 10
65–74 35
75–84 84
85–94 102
95–104 151
105–114 175
115–124 203
125–134 217
135–144 205
145–154 193
155–164 188
165–174 170
175–184 178
185–194 164
195–204 173
205–214 159
215–224 134
225–234 143
235–244 105
245–254 114 251
255–264 92
265–274 88
275–284 87
285–294 80
295–304 62
305–314 75
315–324 67
325–334 60
335–344 52
345–354 40
355–364 48
365–374 47
375–384 46
385–394 31
395–404 27
405–414 40
415–424 30
425–434 43
435–444 29
445–454 14
455–464 28
465–474 21
475–484 21
485–494 22
495–504 17
505–514 12
515–524 11
525–534 8
535–544 8
545–554 14
555–564 4
565–574 11
575–584 5
585–594 11
595–604 12
605–614 7
615–624 6
625–634 10
635–644 9
645–654 10
655–664 6
665–674 6
675–684 6
685–694 4
695–702 6
703+ 100
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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.

No. of scientists
50 100 150
Bar chart with 61 bars. Horizontal axis: D-Index, 40–41 to 160+. Vertical axis: number of scientists, 0 to 191. Most scientists, 191, have 62–63 D-Index. The last bar groups every scientist with 160 D-Index or more. The highlighted bar, 78–79 D-Index, is where this scientist sits. 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
40–41 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.

View D-Index distribution as a table
Number of Genetics scientists by D-index, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
D-Index Scientists This scientist
40–41 24
42–43 52
44–45 84
46–47 112
48–49 118
50–51 141
52–53 143
54–55 145
56–57 179
58–59 162
60–61 175
62–63 191
64–65 172
66–67 184
68–69 164
70–71 158
72–73 150
74–75 136
76–77 127
78–79 127 79
80–81 111
82–83 110
84–85 110
86–87 84
88–89 102
90–91 66
92–93 72
94–95 70
96–97 54
98–99 60
100–101 49
102–103 55
104–105 45
106–107 42
108–109 28
110–111 39
112–113 25
114–115 31
116–117 29
118–119 34
120–121 29
122–123 29
124–125 18
126–127 27
128–129 22
130–131 16
132–133 11
134–135 17
136–137 12
138–139 21
140–141 4
142–143 9
144–145 14
146–147 6
148–149 10
150–151 7
152–153 9
154–155 8
156–157 8
158–159 9
160+ 96
Download as CSV

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

External Links

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Related Online Degrees & Career Pathways

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

Best Scientists Citing Stephen S. Moore

Ben J. Hayes

Ben J. Hayes

University of Queensland

Publications: 112

Tad S. Sonstegard

Tad S. Sonstegard

Recombinetics (United States)

Publications: 97

Michael E. Goddard

Michael E. Goddard

University of Melbourne

Publications: 82

James E. Womack

James E. Womack

Texas A&M University

Publications: 81

William Barendse

William Barendse

Commonwealth Scientific and Industrial Research Organisation

Publications: 76

Antonio Reverter

Antonio Reverter

Commonwealth Scientific and Industrial Research Organisation

Publications: 75

Robert D. Schnabel

Robert D. Schnabel

University of Missouri

Publications: 68

Lucia Galvão de Albuquerque

Lucia Galvão de Albuquerque

Sao Paulo State University

Publications: 63

John L. Williams

John L. Williams

University of Adelaide

Publications: 61

Flavio S Schenkel

Flavio S Schenkel

University of Guelph

Publications: 61

Timothy P. L. Smith

Timothy P. L. Smith

Agricultural Research Service

Publications: 56

Le Luo Guan

Le Luo Guan

University of Alberta

Publications: 54

Hong Chen

Hong Chen

Northwest A&F University

Publications: 54

Jeremy F. Taylor

Jeremy F. Taylor

University of Missouri

Publications: 52

Luciana Correia de Almeida Regitano

Luciana Correia de Almeida Regitano

Brazilian Agricultural Research Corporation

Publications: 51

Changxi Li

Changxi Li

Agriculture and Agriculture-Food Canada

Publications: 50

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