World's Best Scientists 2026 revealed!

D-Index & Metrics

Animal Science and Veterinary

D-Index
32
Citations
6323
World Ranking
2083
National Ranking
114

P. F. Arthur 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 P. F. Arthur 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: 83 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

P. F. Arthur 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 P. F. Arthur 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: 32 D-Index — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Overview

P. F. Arthur is affiliated with the New South Wales Department of Primary Industries in Australia. Their research spans multiple disciplines with a focus on agricultural sciences, biological sciences, neuroscience, and music. Their work particularly explores intersections such as neuroscience and music perception, genetics and phenotypic traits in livestock, and various aspects of animal science and nutrition.

The scientist has contributed to several fields of study, including:

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

Within these broader domains, their subfields of study include:

  • Cognitive Neuroscience
  • Agronomy and Crop Science
  • Genetics
  • Music
  • Animal Science and Zoology

The main topics addressed in their publications cover:

  • Diverse Music Education Insights
  • Neuroscience and Music Perception
  • Genetic and phenotypic traits in livestock
  • Hearing Loss and Rehabilitation
  • Ruminant Nutrition and Digestive Physiology
  • Reproductive Physiology in Livestock
  • Effects of Environmental Stressors on Livestock

Their recent publications demonstrate this breadth of focus. These include:

  • Determining what expert piano sight-readers have in common, 2020, published in Music Education Research
  • Visual processing abilities associated with piano music sight-reading expertise, 2020, published in Psychology of Music
  • Predicting metabolisable energy intake by free-ranging cattle using multiple short-term breath samples and applied to a pasture case-study, 2020, published in Animal Production Science
  • Reply to Letter - Comparison of the Pediatric Vision Screening Program in 18 Countries Across Five Continents, 2020, published in Journal of Current Ophthalmology
  • Association between gene polymorphisms and glaucoma susceptibility among Africans: a systematic review and meta-analysis, 2025, published in Ophthalmic Genetics

The frequent co-authors collaborating with P. F. Arthur include:

  • R. M. Herd
  • Diana Blom
  • R. S. Hegarty
  • T. Bird-Gardiner
  • K. A. Donoghue

Highly represented publication venues in their career are:

  • Animal Production Science
  • Music Education Research
  • Psychology of Music
  • Journal of Current Ophthalmology
  • Ophthalmic Genetics

Best Publications

  • Genetic and phenotypic variance and covariance components for feed intake, feed efficiency, and other postweaning traits in Angus cattle

    P F Arthur;J A Archer;D J Johnston;R M Herd

  • Physiological basis for residual feed intake.

    R. M. Herd;P. F. Arthur

  • Potential for selection to improve efficiency of feed use in beef cattle: a review

    J. A. Archer;E. C. Richardson;R. M. Herd;P. F. Arthur

  • Genetic and phenotypic relationships among different measures of growth and feed efficiency in young Charolais bulls

    P.F Arthur;G Renand;D Krauss

  • Optimum postweaning test for measurement of growth rate, feed intake, and feed efficiency in British breed cattle

    J A Archer;P F Arthur;R M Herd;P F Parnell

  • Reducing the cost of beef production through genetic improvement in residual feed intake: Opportunity and challenges to application 1

    R. M. Herd;J. A. Archer;P. F. Arthur

  • Double muscling in cattle: a review

    PF Arthur

  • Metabolic differences in Angus steers divergently selected for residual feed intake

    E. C. Richardson;R. M. Herd;J. A. Archer;P. F. Arthur

  • Body composition and implications for heat production of Angus steer progeny of parents selected for and against residual feed intake

    E. C. Richardson;R. M. Herd;V. H. Oddy;J. M. Thompson

  • Genome-wide association studies for feedlot and growth traits in cattle.

    S. Bolormaa;B. J. Hayes;K. Savin;R. Hawken;R. Hawken

  • Feed intake and efficiency in beef cattle: overview of recent Australian research and challenges for the future

    P. F. Arthur;J. A. Archer;R. M. Herd

  • Meat quality and the calpain system of feedlot steers following a single generation of divergent selection for residual feed intake

    M. B. McDonagh;R. M. Herd;E. C. Richardson;V. H. Oddy

  • Maternal productivity of Angus cows divergently selected for post-weaning residual feed intake

    P. F. Arthur;P. F. Arthur;R. M. Herd;J. F. Wilkins;J. F. Wilkins;J. A. Archer;J. A. Archer

  • GENETIC VARIATION IN FEED INTAKE AND EFFICIENCY OF MATURE BEEF COWS AND RELATIONSHIPS WITH POSTWEANING MEASUREMENTS

    J. A. Archer;A. Reverter;R. M. Herd;D. J. Johnston

  • Response to selection for net feed intake in beef cattle.

    PF Arthur;JA Archer;RM Herd;GJ Melville

  • Measures of methane production and their phenotypic relationships with dry matter intake, growth, and body composition traits in beef cattle.

    R. M. Herd;P. F. Arthur;K. A. Donoghue;S. H. Bird

  • POSSIBLE PHYSIOLOGICAL INDICATORS FOR NET FEED CONVERSION EFFICIENCY IN BEEF CATTLE

    EC Richardson;RM Herd;PF Arthur;J Wright

  • Efficiency of feed utilisation by livestock — Implications and benefits of genetic improvement

    P. F. Arthur;R. M. Herd

  • Incidence of Dystocia and Perinatal Calf Mortality Resulting from Reciprocal Crossing of Double-muscled and Normal Cattle.

    Paul F. Arthur;Mahmoud Makarechian;Mick A. Price

  • Genetic and phenotypic variation in feed intake, feed efficiency and growth in beef cattle.

    PF Arthur;JA Archer;RM Herd;EC Richardson

  • Blood cell profiles of steer progeny from parents selected for and against residual feed intake

    E. C. Richardson;R. M. Herd;I. G. Colditz;J. A. Archer

  • Evidence of IGF-I as a genetic predictor of feed efficiency traits in beef cattle.

    D. J. Johnston;R. M. Herd;M. J. Kadel;H. U. Graser

  • Pasture intake by high versus low net feed efficient Angus cows

    RM Herd;EC Richardson;RS Hegarty;R Woodgate

  • Genomewide association study of methane emissions in Angus beef cattle with validation in dairy cattle

    C. I. V. Manzanilla-Pech;Y. De Haas;B. J. Hayes;R. F. Veerkamp

  • Onset of puberty and early-life reproduction in Angus females divergently selected for post-weaning residual feed intake

    K. A. Donoghue;P. F. Arthur;J. F. Wilkins;R. M. Herd

  • Methods and consequences of including reduction in greenhouse gas emission in beef cattle multiple-trait selection

    Stephen A. Barwick;Anthony L. Henzell;Robert M. Herd;Bradley J. Walmsley

  • Performance of progeny of high vs low net feed conversion efficiency cattle.

    RM Herd;JA Archer;PF Arthur;EC Richardson

  • SELECTION FOR RESIDUAL FEED INTAKE IMPROVES FEED CONVERSION IN STEERS ON PASTURE

    RM Herd;RS Hegarty;RW Dicker;JA Archer

  • Quantitative analysis of performance, carcass and meat quality traits in cattle from two Australian beef herds in which a null myostatin allele is segregating

    B. A. O' Rourke;B. A. O' Rourke;J. A. Dennis;J. A. Dennis;P. J. Healy;P. J. Healy;W. A. McKiernan;W. A. McKiernan

Frequent Co-Authors

J. A. Archer
J. A. Archer AgResearch
Roger Hegarty
Roger Hegarty AgResearch
Wayne S. Pitchford
Wayne S. Pitchford University of Adelaide
Michael E. Goddard
Michael E. Goddard University of Melbourne
David Johnston
David Johnston University of New England
Paul L. Greenwood
Paul L. Greenwood University of New England
Ben J. Hayes
Ben J. Hayes University of Queensland
V. H. Oddy
V. H. Oddy University of New England
John Mitchell Thompson
John Mitchell Thompson University of New England
William Barendse
William Barendse Commonwealth Scientific and Industrial Research Organisation

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Related Online Degrees & Career Pathways

For those interested in expanding their expertise beyond traditional Animal Science and Veterinary studies, related online degrees offer valuable opportunities. Programs such as apa accredited online programs provide a reputable foundation for careers in psychology and behavioral sciences, which can complement animal behavior research and welfare roles.

Online options are also available in specialized fields like addiction and mental health counseling. Earning an addiction counseling online degree helps professionals address substance abuse issues, a growing concern in both human and animal care contexts. Similarly, marriage and family therapy master's programs online provide skills to support family dynamics, which can indirectly influence pet welfare and veterinary social work.

For those pursuing advanced scholarship, counseling phd programs offer avenues to deepen research and leadership in counseling fields. These interdisciplinary pathways highlight the diverse career options accessible through online education that complement animal science and veterinary professions.

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