World's Best Scientists 2026 revealed!

D-Index & Metrics

Animal Science and Veterinary

D-Index
27
Citations
2491
World Ranking
2822
National Ranking
148

Andrew Swan publication distribution in Animal Science and Veterinary in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Animal Science and Veterinary in 2026. The highlighted bar marks where Andrew Swan sits on this spectrum.

29–33 publications: 1 scientists 34–38 publications: 6 scientists 39–43 publications: 17 scientists 44–48 publications: 23 scientists 49–53 publications: 28 scientists 54–58 publications: 44 scientists 59–63 publications: 66 scientists 64–68 publications: 75 scientists 69–73 publications: 71 scientists 74–78 publications: 85 scientists 79–83 publications: 108 scientists 84–88 publications: 105 scientists 89–93 publications: 84 scientists 94–98 publications: 103 scientists 99–103 publications: 97 scientists 104–108 publications: 95 scientists 109–113 publications: 89 scientists 114–118 publications: 88 scientists 119–123 publications: 109 scientists 124–128 publications: 93 scientists 129–133 publications: 89 scientists 134–138 publications: 95 scientists 139–143 publications: 92 scientists 144–148 publications: 80 scientists 149–153 publications: 75 scientists 154–158 publications: 74 scientists 159–163 publications: 67 scientists 164–168 publications: 53 scientists 169–173 publications: 62 scientists 174–178 publications: 63 scientists 179–183 publications: 50 scientists 184–188 publications: 55 scientists 189–193 publications: 50 scientists 194–198 publications: 27 scientists 199–203 publications: 44 scientists 204–208 publications: 31 scientists 209–213 publications: 28 scientists 214–218 publications: 38 scientists 219–223 publications: 33 scientists 224–228 publications: 36 scientists 229–233 publications: 29 scientists 234–238 publications: 35 scientists 239–243 publications: 23 scientists 244–248 publications: 24 scientists 249–253 publications: 29 scientists 254–258 publications: 28 scientists 259–263 publications: 21 scientists 264–268 publications: 25 scientists 269–273 publications: 11 scientists 274–278 publications: 18 scientists 279–283 publications: 13 scientists 284–288 publications: 18 scientists 289–293 publications: 10 scientists 294–298 publications: 12 scientists 299–303 publications: 11 scientists 304–308 publications: 15 scientists 309–313 publications: 14 scientists 314–318 publications: 14 scientists 319–323 publications: 8 scientists 324–328 publications: 8 scientists 329–333 publications: 13 scientists 334–338 publications: 14 scientists 339–343 publications: 13 scientists 344–348 publications: 10 scientists 349–353 publications: 11 scientists 354–358 publications: 5 scientists 359–363 publications: 8 scientists 364–368 publications: 8 scientists 369–373 publications: 6 scientists 374–378 publications: 7 scientists 379–383 publications: 8 scientists 384–388 publications: 3 scientists 389–393 publications: 4 scientists 394–398 publications: 5 scientists 399–403 publications: 8 scientists 404–408 publications: 5 scientists 409–413 publications: 4 scientists 414–418 publications: 3 scientists 419–423 publications: 8 scientists 424–428 publications: 5 scientists 429–433 publications: 3 scientists 434–438 publications: 5 scientists 439–441 publications: 5 scientists 442+ publications: 99 scientists
29 publications 442+

This scientist: 140 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 442 publications or more.

Andrew Swan D-index placement in Animal Science and Veterinary in 2026

The chart shows the D-index (discipline H-index) distribution of Animal Science and Veterinary scientists ranked by Research.com in 2026. The highlighted bar marks where Andrew Swan sits on this spectrum.

20 D-Index: 5 scientists 21 D-Index: 22 scientists 22 D-Index: 31 scientists 23 D-Index: 44 scientists 24 D-Index: 53 scientists 25 D-Index: 66 scientists 26 D-Index: 80 scientists 27 D-Index: 101 scientists 28 D-Index: 106 scientists 29 D-Index: 116 scientists 30 D-Index: 154 scientists 31 D-Index: 158 scientists 32 D-Index: 143 scientists 33 D-Index: 137 scientists 34 D-Index: 126 scientists 35 D-Index: 134 scientists 36 D-Index: 112 scientists 37 D-Index: 115 scientists 38 D-Index: 105 scientists 39 D-Index: 111 scientists 40 D-Index: 107 scientists 41 D-Index: 87 scientists 42 D-Index: 74 scientists 43 D-Index: 62 scientists 44 D-Index: 61 scientists 45 D-Index: 41 scientists 46 D-Index: 51 scientists 47 D-Index: 43 scientists 48 D-Index: 28 scientists 49 D-Index: 47 scientists 50 D-Index: 40 scientists 51 D-Index: 34 scientists 52 D-Index: 33 scientists 53 D-Index: 43 scientists 54 D-Index: 16 scientists 55 D-Index: 32 scientists 56 D-Index: 21 scientists 57 D-Index: 18 scientists 58 D-Index: 28 scientists 59 D-Index: 33 scientists 60 D-Index: 17 scientists 61 D-Index: 21 scientists 62 D-Index: 18 scientists 63 D-Index: 21 scientists 64 D-Index: 9 scientists 65 D-Index: 20 scientists 66 D-Index: 11 scientists 67 D-Index: 16 scientists 68 D-Index: 12 scientists 69 D-Index: 17 scientists 70 D-Index: 13 scientists 71 D-Index: 15 scientists 72 D-Index: 11 scientists 73 D-Index: 11 scientists 74 D-Index: 14 scientists 75 D-Index: 5 scientists 76 D-Index: 6 scientists 77+ D-Index: 100 scientists
20 D-Index 77+

This scientist: 27 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 77 D-Index or more.

Overview

Andrew Swan is affiliated with the University of New England in Australia. Their research primarily spans the fields of Biochemistry, Genetics and Molecular Biology, as well as Agricultural and Biological Sciences. Within these areas, they focus on Genetics, Agronomy and Crop Science, Animal Science and Zoology, Urology, and Cancer Research.

The scientist's work addresses a range of topics related to livestock and genetics. These include genetic and phenotypic traits in livestock, genetic mapping and diversity in plants and animals, effects of environmental stressors on livestock, livestock management and performance improvement, reproductive physiology in livestock, hair growth and disorders, and livestock and poultry management.

Andrew Swan has contributed to several publications, often collaborating with frequent coauthors such as P. M. Gurman, J. H. J. van der Werf, Peter K. Wahinya, M. G. Jeyaruban, and Li Li. Their research has been published in prominent venues including the Journal of Animal Breeding and Genetics, Genetics Selection Evolution, Animal Production Science, animal, and BMC Genomics.

  • A conditional multi-trait sequence GWAS discovers pleiotropic candidate genes and variants for sheep wool, skin wrinkle and breech cover traits (2021, Genetics Selection Evolution)
  • Breeding objectives for dairy cattle under low, medium and high production systems in the tropics (2022, animal)
  • Genomic prediction in a numerically small breed population using prioritized genetic markers from whole-genome sequence data (2021, Journal of Animal Breeding and Genetics)
  • The genomic structure of isolation across breed, country and strain for important South African and Australian sheep populations (2022, BMC Genomics)
  • Estimation of genetic parameters for milk and fertility traits within and between low, medium and high dairy production systems in Kenya to account for genotype-by-environment interaction (2020, Journal of Animal Breeding and Genetics)

Frequent coauthors associated with Swan's body of work include:

  • P. M. Gurman
  • J. H. J. van der Werf
  • Peter K. Wahinya
  • M. G. Jeyaruban
  • Li Li

Publishing venues where Andrew Swan's research appears frequently include:

  • Journal of Animal Breeding and Genetics
  • Genetics Selection Evolution
  • Animal Production Science
  • animal
  • BMC Genomics

Andrew Swan's research integrates molecular genetics with applied animal science, contributing to improved understanding of livestock traits and breeding strategies under various environmental and production conditions.

Best Publications

  • Accuracy of pedigree and genomic predictions of carcass and novel meat quality traits in multi-breed sheep data assessed by cross-validation

    Hans D Daetwyler;Andrew A Swan;Andrew A Swan;Julius H J van der Werf;Julius H J van der Werf;Ben J Hayes;Ben J Hayes

  • Genetic correlations among and between wool, growth and reproduction traits in Merino sheep

    E Safari;N M Fogarty;A R Gilmour;K D Atkins

  • Genetic evaluation for the Australian sheep industry

    Daniel Brown;Abe Huisman;Andrew Swan;Hans Ulrich Graser

  • Unknown-parent groups in single-step genomic evaluation.

    I Misztal;Z G Vitezica;A Legarra;I Aguilar

  • Resistance to nematode parasites in Merino sheep : correlation with production traits

    S. J. Eady;R. R. Woolaston;R. W. Ponzoni;R. P. Lewer

  • Increased genetic gains in sheep, beef and dairy breeding programs from using female reproductive technologies combined with optimal contribution selection and genomic breeding values

    Tom Granleese;Tom Granleese;Samuel A. Clark;Andrew A. Swan;Julius H. J. van der Werf;Julius H. J. van der Werf

  • Across population genetic parameters for wool, growth, and reproduction traits in Australian Merino sheep. 2. Estimates of heritability and variance components

    E. Safari;N. M. Fogarty;A. R. Gilmour;K. D. Atkins

  • Evaluation and Exploitation of Crossbreeding in Dairy Cattle

    A.A. Swan;B.P. Kinghorn

  • Genomic prediction based on selected variants from imputed whole-genome sequence data in Australian sheep populations

    Nasir Moghaddar;Majid Khansefid;Julius H. J. van der Werf;Sunduimijid Bolormaa

  • Resistance to nematode parasites in Merino sheep: sources of genetic variation

    SJ Eady;RR Woolaston;SI Mortimer;RP Lewer

  • Multiple-trait QTL mapping and genomic prediction for wool traits in sheep.

    Sunduimijid Bolormaa;Andrew A. Swan;Andrew A. Swan;Daniel J. Brown;Daniel J. Brown;Sue Hatcher;Sue Hatcher

  • Evaluation of growth rates and resistance to nematodes of Deccani and Bannur lambs and their crosses with Garole

    C. Nimbkar;P. M. Ghalsasi;A. A. Swan;S. W. Walkden-Brown

  • Accuracy of imputation to whole-genome sequence in sheep.

    Sunduimijid Bolormaa;Amanda J. Chamberlain;Majid Khansefid;Paul Stothard

  • A conditional multi-trait sequence GWAS discovers pleiotropic candidate genes and variants for sheep wool, skin wrinkle and breech cover traits.

    Sunduimijid Bolormaa;Andrew A. Swan;Andrew A. Swan;Paul Stothard;Majid Khansefid

  • Pasture intake and digestibility by young and non-breeding adult sheep: the extent of genetic variation and relationships with productivity

    G.J Lee;K.D Atkins;A.A Swan

  • Genetic variation within and between subpopulations of the Australian Merino breed

    Andrew A. Swan;Daniel J. Brown;Julius H. J. van der Werf

  • Comparing genomic prediction accuracy from purebred, crossbred and combined purebred and crossbred reference populations in sheep

    Nasir Moghaddar;Nasir Moghaddar;Andrew A Swan;Andrew A Swan;Julius H J van der Werf;Julius H J van der Werf

  • Across population genetic parameters for wool, growth, and reproduction traits in Australian Merino sheep. 1. Data structure and non-genetic effects

    E. Safari;N. M. Fogarty;A. R. Gilmour;K. D. Atkins

  • Genetic parameters for visually assessed traits and their relationships to wool production and liveweight in Australian Merino sheep

    Sue I Mortimer;Dorothy L Robinson;K D Atkins;F D Brien

  • Within- and across-flock genetic relationships for breech flystrike resistance indicator traits.

    D. J. Brown;A. A. Swan;J. S. Gill

  • Genetic parameters for wool traits, live weight, and ultrasound carcass traits in Merino sheep

    S. I. Mortimer;S. Hatcher;N. M. Fogarty;J. H. J. van der Werf

  • Genotype×environment interactions for weight in Pacific oysters (Crassostrea gigas) on five Australian farms

    Andrew A. Swan;Peter A. Thompson;Robert D. Ward

  • Genetic parameters for yearling wool production, wool quality and bodyweight traits in fine wool Merino sheep

    A. A. Swan;I. W. Purvis;L. R. Piper

  • Integration of genomic information into beef cattle and sheep genetic evaluations in Australia

    Andrew A. Swan;David J. Johnston;Daniel J. Brown;Bruce Tier

  • Genetic progress in the Australian sheep industry.

    A. A. Swan;D. J. Brown;R. G. Banks

Frequent Co-Authors

J. H. J. van der Werf
J. H. J. van der Werf University of New England
Hans D. Daetwyler
Hans D. Daetwyler Bayer Pharmaceuticals
Norah M. E. Fogarty
Norah M. E. Fogarty King's College London
David W. Pethick
David W. Pethick Murdoch University
Robin H. Jacob
Robin H. Jacob Government of Western Australia
David L. Hopkins
David L. Hopkins Charles Sturt University
Ben J. Hayes
Ben J. Hayes University of Queensland
Iona M. MacLeod
Iona M. MacLeod La Trobe University
Karin Meyer
Karin Meyer University of New England
David Johnston
David Johnston University of New England

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