World's Best Scientists 2026 revealed!

D-Index & Metrics

Animal Science and Veterinary

D-Index
37
Citations
5719
World Ranking
1487
National Ranking
126

Norah M. E. Fogarty 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 Norah M. E. Fogarty 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: 95 publications — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Norah M. E. Fogarty 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 Norah M. E. Fogarty 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: 37 D-Index — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Animal science
  • Gene
  • Genetics

N. M. Fogarty mostly deals with Animal science, Crossbreed, Reproduction, Litter and Wool. Animal science is closely attributed to Genotype in his study. His Reproduction study incorporates themes from Genetic correlation, Flock and Heritability.

His study looks at the relationship between Heritability and topics such as Maternal effect, which overlap with Genetic model, Econometrics, Confidence interval, Statistics and Standard error. The Litter study combines topics in areas such as Breed, Birth weight and Domestic sheep reproduction. His research in Texel tackles topics such as Carcass weight which are related to areas like Carcass composition.

His most cited work include:

  • A review of genetic parameter estimates for wool, growth, meat and reproduction traits in sheep (441 citations)
  • Genetic parameters for live weight, fat and muscle measurements, wool production and reproduction in sheep: a review (223 citations)
  • Diverse lamb genotypes-2. Meat pH, colour and tenderness. (108 citations)

What are the main themes of his work throughout his whole career to date?

Animal science, Heritability, Crossbreed, Reproduction and Flock are his primary areas of study. His work in Animal science tackles topics such as Biotechnology which are related to areas like Drought tolerance. His Heritability research integrates issues from Genetic correlation and Maternal effect.

His studies deal with areas such as Fecundity, Genetic variation and Pasture as well as Crossbreed. His Reproduction research is multidisciplinary, relying on both Statistics, Agronomy and Eye muscle. In his research on the topic of Flock, Genotype is strongly related with Carcass weight.

He most often published in these fields:

  • Animal science (101.27%)
  • Heritability (44.30%)
  • Crossbreed (40.51%)

What were the highlights of his more recent work (between 2013-2018)?

  • Animal science (101.27%)
  • Flock (43.04%)
  • Biotechnology (35.44%)

In recent papers he was focusing on the following fields of study:

N. M. Fogarty spends much of his time researching Animal science, Flock, Biotechnology, Heritability and Drought tolerance. His study in the field of Meat tenderness also crosses realms of Polyunsaturated fatty acid. His biological study spans a wide range of topics, including Sire, Intramuscular fat, Live weight and Reproduction.

His work focuses on many connections between Reproduction and other disciplines, such as Breed, that overlap with his field of interest in Domestic sheep reproduction. His Heritability research incorporates themes from Crossbreed and Threshold model. His Crossbreed research is multidisciplinary, incorporating perspectives in Genetic correlation and Animal breeding.

Between 2013 and 2018, his most popular works were:

  • A review of the genetic and epigenetic factors affecting lamb survival (35 citations)
  • Genetic evaluation of maternal behaviour and temperament in Australian sheep (16 citations)
  • Genetic relationships between internal parasite resistance and production traits in Merino sheep (15 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • Agriculture
  • Genetics

His primary scientific interests are in Biotechnology, Heritability, Reproduction, Flock and Animal science. N. M. Fogarty interconnects Confounding and Drought tolerance in the investigation of issues within Heritability. His Confounding research includes themes of Linear model, Genetic gain, Epigenetics and Threshold model.

N. M. Fogarty performs multidisciplinary study on Epigenetics and Inefficiency in his works. Other disciplines of study, such as Wool and Breeding program, are mixed together with his Drought tolerance studies. Breed, Temperament and Domestic sheep reproduction are fields of study that overlap with his Trait research.

Best Publications

  • A review of genetic parameter estimates for wool, growth, meat and reproduction traits in sheep

    E. Safari;N. Fogarty;Arthur R Gilmour

  • Genetic parameters for live weight, fat and muscle measurements, wool production and reproduction in sheep: a review

    N.M. Fogarty

  • Diverse lamb genotypes-2. Meat pH, colour and tenderness.

    D.L. Hopkins;N.M. Fogarty

  • Diverse lamb genotypes. 3. Eating quality and the relationship between its objective measurement and sensory assessment

    E. Safari;N.M. Fogarty;G.R. Ferrier;L.D. Hopkins

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

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

  • The information nucleus-a new concept to enhance sheep industry genetic improvement

    N M Fogarty;Robert Banks;Julius Herman Van Der Werf;Alex Ball

  • Lamb production from diverse genotypes. 1. Lamb growth and survival and ewe performance

    N. M. Fogarty;D. L. Hopkins;R. van de Ven

  • A review of the effects of the Booroola gene (FecB) on sheep production

    N.M. Fogarty

  • 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

  • A review of the genetic and epigenetic factors affecting lamb survival

    F. D. Brien;F. D. Brien;F. D. Brien;S. W. P. Cloete;N. M. Fogarty;J. C. Greeff

  • Genetic parameters for ultrasound fat depth and eye muscle measurements in live Poll Dorset sheep

    AR Gilmour;AF Luff;NM Fogarty;R Banks

  • Composite trait selection to improve reproduction and ewe productivity: a review

    G. D. Snowder;N. M. Fogarty

  • Genetic parameters for reproduction and lamb production and their components and liveweight, fat depth and wool production in Hyfer sheep

    NM Fogarty;LD Brash;AR Gilmour

  • Lamb production from diverse genotypes 2. Carcass characteristics.

    N. M. Fogarty;D. L. Hopkins;R. van de Ven

  • Genetic parameters for carcass and meat quality traits and their relationships to liveweight and wool production in hogget Merino rams

    J.C. Greeff;E. Safari;E. Safari;N.M. Fogarty;N.M. Fogarty;D.L. Hopkins

  • Reproductive performance and genetic parameters in first cross ewes from different maternal genotypes.

    R. A. Afolayan;N. M. Fogarty;A. R. Gilmour;V. M. Ingham

  • Reproductive performance and genetic parameters for Australian Dorset Sheep.

    LD Brash;NM Fogarty;AR Gilmour

  • Genetic evaluation of crossbred lamb production. 1. Breed and fixed effects for birth and weaning weight of first-cross lambs, gestation length, and reproduction of base ewes

    N. M. Fogarty;V. M. Ingham;A. R. Gilmour;L. J. Cummins

  • Lamb Production and Its Components in Pure Breeds and Composite Lines. III. Genetic Parameters

    N. M. Fogarty;G. E. Dickerson;L. D. Young

  • Genetic parameters for meat quality and carcass traits and their correlation with wool traits in Australian Merino sheep

    N. M. Fogarty;E. Safari;P. J. Taylor;W. Murray

  • Diverse lamb genotypes—1. Yield of saleable cuts and meat in the carcass and the prediction of yield

    D.L. Hopkins;N.M. Fogarty

Frequent Co-Authors

David L. Hopkins
David L. Hopkins Charles Sturt University
Andrew Swan
Andrew Swan University of New England
J. H. J. van der Werf
J. H. J. van der Werf University of New England
David W. Pethick
David W. Pethick Murdoch University
Robin H. Jacob
Robin H. Jacob Government of Western Australia
G. H. Geesink
G. H. Geesink University of New England
Eric N. Ponnampalam
Eric N. Ponnampalam University of Melbourne
Gordon E. Dickerson
Gordon E. Dickerson United States Department of Agriculture
Wayne S. Pitchford
Wayne S. Pitchford University of Adelaide
Robyn D. Warner
Robyn D. Warner University of Melbourne

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