World's Best Scientists 2026 revealed!

D-Index & Metrics

Animal Science and Veterinary

D-Index
49
Citations
8623
World Ranking
654
National Ranking
72

Mike Coffey 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 Mike Coffey 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: 235 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Mike Coffey 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 Mike Coffey 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: 49 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Overview

Mike Coffey is affiliated with Scotland's Rural College in the United Kingdom, focusing primarily on research related to biochemistry, genetics, and molecular biology, as well as agricultural and biological sciences. Their work has a significant emphasis on genetics and animal science, with notable contributions across several interconnected subfields including genetics, animal science and zoology, agronomy and crop science, small animals, and microbiology.

Their research covers a range of main topics, notably genetic and phenotypic traits in livestock, effects of environmental stressors on livestock, genetic mapping and diversity in plants and animals, animal behavior and welfare studies, microbial infections and disease research, animal disease management and epidemiology, and milk quality and mastitis in dairy cows.

Mike Coffey has contributed to several papers published mainly in the Journal of Dairy Science, as well as in Animal - Science Proceedings, Veterinary Record, Scientific Reports, and the journal animal. Recent publications include:

  • Predicting bovine tuberculosis status of dairy cows from mid-infrared spectral data of milk using deep learning, 2020, Journal of Dairy Science
  • A comparison of 4 different machine learning algorithms to predict lactoferrin content in bovine milk from mid-infrared spectra, 2020, Journal of Dairy Science
  • Predicting pregnancy status from mid-infrared spectroscopy in dairy cow milk using deep learning, 2021, Journal of Dairy Science
  • Telomere attrition rates are associated with weather conditions and predict productive lifespan in dairy cattle, 2021, Scientific Reports
  • Genetic parameters for carcase measurements and age at slaughter in commercial cattle, 2020, animal

They have collaborated extensively with other researchers, including frequent co-authors such as Georgios Banos, Bingjie Li, Androniki Psifidi, G. Oikonomou, and Alkiviadis Anagnostopoulos.

Mike Coffey's work intersects multiple disciplines to enhance understanding of livestock genetics and health, utilizing advanced analytical techniques such as machine learning and spectroscopy in dairy science. The research addresses both biological mechanisms and practical implications, including environmental effects and disease management in agricultural contexts.

Best Publications

  • The Relationship Between Body Condition Score and Reproductive Performance

    J.E. Pryce;M.P. Coffey;G. Simm

  • Changes in feeding behavior as possible indicators for the automatic monitoring of health disorders in dairy cows.

    L.A. González;L.A. González;B.J. Tolkamp;M.P. Coffey;A. Ferret

  • Differences between primiparous and multiparous dairy cows in the inter-relationships between metabolic traits, milk yield and body condition score in the periparturient period.

    D C Wathes;Z R Cheng;N Bourne;V J Taylor

  • Mid-infrared prediction of bovine milk fatty acids across multiple breeds, production systems, and countries.

    Hélène Soyeurt;Frédéric Dehareng;Nicolas Gengler;Sinead McParland

  • The genetic relationship between calving interval, body condition score and linear type and management traits in registered Holsteins.

    J.E. Pryce;M.P. Coffey;S. Brotherstone

  • Genetic Evaluation of Fertility Using Direct and Correlated Traits

    E. Wall;Susan Brotherstone;Susan Brotherstone;John Woolliams;Georgios Banos

  • Genetic parameters and evaluations from single- and multiple-trait analysis of dairy cow fertility and milk production

    Haja N Kadarmideen;Robin Thompson;Michael P Coffey;Mohamad A Kossaibati

  • Genetic evaluation of dairy bulls for energy balance traits using random regression

    M. P. Coffey;G. C. Emmans;S. Brotherstone

  • Impact of single nucleotide polymorphisms in leptin, leptin receptor, growth hormone receptor, and diacylglycerol acyltransferase (DGAT1) gene loci on milk production, feed, and body energy traits of UK dairy cows.

    Georgios Banos;John Woolliams;B. W. Woodward;A. B. Forbes

  • Potential for estimation of body condition scores in dairy cattle from digital images.

    J. M. Bewley;A. M. Peacock;O. Lewis;R. E. Boyce

  • Genetic parameters for production, health, fertility and longevity traits in dairy cows.

    Pritchard T;Coffey Mp;Mrode R;Wall E

  • Genetic Aspects of Growth of Holstein-Friesian Dairy Cows from Birth to Maturity

    M.P. Coffey;J.M. Hickey;S. Brotherstone

  • Multiple correlation analyses of metabolic and endocrine profiles with fertility in primiparous and multiparous cows

    D C Wathes;N Bourne;Z R Cheng;G E Mann

  • Genetic relationships between calving interval and body condition score conditional on milk yield.

    J.E. Pryce;M.P. Coffey;S.H. Brotherstone;John Woolliams

  • International genetic evaluations for feed intake in dairy cattle through the collation of data from multiple sources

    Donagh P. Berry;M.P. Coffey;J.E. Pryce;Y. De Haas

  • Genotype and Diet Effects on Energy Balance in the First Three Lactations of Dairy Cows

    M P Coffey;Geoff Simm;J D Oldham;W G Hill

  • Hot topic: Definition and implementation of a breeding value for feed efficiency in dairy cows

    J.E. Pryce;J.E. Pryce;O. Gonzalez-Recio;G. Nieuwhof;W.J. Wales

  • Energy balance profiles for the first three lactations of dairy cows estimated using random regression

    M.P. Coffey;G. Simm;S. Brotherstone

  • Heterogeneity in genetic and nongenetic variation and energy sink relationships for residual feed intake across research stations and countries.

    RJ Tempelman;DM Spurlock;MP Coffey;RF Veerkamp

  • The use of mid-infrared spectrometry to predict body energy status of Holstein cows.

    Sinead McParland;Giorgios Banos;Eileen Wall;Mike Coffey

  • Evidence of genetic resistance of cattle to infection with Mycobacterium bovis.

    Susan Brotherstone;I. M. White;M. Coffey;S. H. Downs

  • The relationship between fertility, rump angle, and selected type information in Holstein-Friesian cows.

    E. Wall;I.M.S. White;M.P. Coffey;S. Brotherstone;S. Brotherstone

  • Improved accuracy of genomic prediction for dry matter intake of dairy cattle from combined European and Australian data sets.

    Y. de Haas;M.P.L. Calus;R.F. Veerkamp;E. Wall

  • Estimation of genomic breeding values for milk yield in UK dairy goats

    Mucha S;Mrode R;MacLaren-Lee I;Coffey Mp

  • Genetic analysis of carcass traits in beef cattle using random regression models

    T M Englishby;Georgios Banos;K L Moore;Mike P Coffey

  • Genome-wide association study of conformation and milk yield in mixed-breed dairy goats

    Sebastian Mucha;Raphael Mrode;Mike Coffey;Mehmet Kizilaslan

  • Phenotypic effects of calving ease on the subsequent fertility and milk production of dam and calf in UK Holstein-Friesian heifers.

    Sophie Eaglen;Sophie Eaglen;M.P. Coffey;John Woolliams;R. Mrode

  • Use of competition data for genetic evaluations of eventing horses in Britain: Analysis of the dressage, showjumping and cross country phases of eventing competition

    C.g.s. Kearsley;John Woolliams;M.p. Coffey;S. Brotherstone

  • Evaluating alternate models to estimate genetic parameters of calving traits in United Kingdom Holstein-Friesian dairy cattle

    Sophie A E Eaglen;Mike P Coffey;John A Woolliams;Eileen Wall

  • On the value of the phenotypes in the genomic era.

    O. Gonzalez-Recio;O. Gonzalez-Recio;M.P. Coffey;J.E. Pryce;J.E. Pryce;J.E. Pryce

  • Predicting bovine tuberculosis status of dairy cows from mid-infrared spectral data of milk using deep learning.

    SJ Denholm;W Brand;Andrew Mitchell;AM Wells

  • Genome-wide association study of conformation and milk yield in mixed-breed dairy goats

    S Mucha;R Mrode;MP Coffey;JE Conington

Frequent Co-Authors

Georgios Banos
Georgios Banos Scotland's Rural College
Raphael A. Mrode
Raphael A. Mrode International Livestock Research Institute
Susan Brotherstone
Susan Brotherstone University of Edinburgh
Eileen Wall
Eileen Wall Scotland's Rural College
Roel F. Veerkamp
Roel F. Veerkamp Wageningen University & Research
John Woolliams
John Woolliams University of Edinburgh
Jennie E. Pryce
Jennie E. Pryce La Trobe University
Donagh P. Berry
Donagh P. Berry Teagasc - The Irish Agriculture and Food Development Authority
Y. de Haas
Y. de Haas Wageningen University & Research
Kent A. Weigel
Kent A. Weigel University of Wisconsin–Madison

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Related Online Degrees & Career Pathways

Exploring animal science and veterinary studies opens doors to diverse career options, many of which can be enhanced through specialized online degrees. For those interested in building supportive roles within animal care and therapy, programs such as marriage and family therapy masters programs online offer valuable skills in counseling that can complement animal science knowledge, especially in fields like animal-assisted therapy.

For advanced professionals aiming to deepen their expertise, pursuing online doctoral programs in counseling can provide pathways to leadership and research roles related to behavioral health in both humans and animals.

Those committed to animal care can explore a variety of animal degrees, which cover everything from animal nutrition to wildlife conservation, enhancing employability in veterinary clinics, zoos, or research institutions.

Additionally, career pathways such as becoming an athletic director showcase the versatility of managing health and wellness programs, often integrating knowledge of physiology that parallels veterinary sciences in sports settings.

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