World's Best Scientists 2026 revealed!

D-Index & Metrics

Animal Science and Veterinary

D-Index
27
Citations
4696
World Ranking
2757
National Ranking
779

George E. Shook 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 George E. Shook 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: 60 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

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

George E. Shook 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 George E. Shook 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.

Research.com Recognitions

  • 2005 - American Dairy Science Association Fellowship Award
  • 2001 - J. L. Lush Award in Animal Breeding, American Dairy Science Association

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Genetics
  • Gene

The scientist’s investigation covers issues in Herd, Somatic cell, Somatic cell count, Animal science and Lactation. His study in Herd is interdisciplinary in nature, drawing from both Dairy cattle and Sire. His Somatic cell study combines topics from a wide range of disciplines, such as Statistical hypothesis testing, Homogeneity, Chi-square test and Kurtosis.

His study focuses on the intersection of Somatic cell count and fields such as Genetic correlation with connections in the field of Biotechnology. His Animal science research includes themes of Indirect selection, Parity, Regression and Milk yield. Lactation and Statistics are frequently intertwined in his study.

His most cited work include:

  • An optimum transformation for somatic cell concentration in milk. (468 citations)
  • Selection on Somatic Cell Score to Improve Resistance to Mastitis in the United States (170 citations)
  • Selection for disease resistance. (169 citations)

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

Animal science, Statistics, Herd, Sire and Dairy cattle are his primary areas of study. His work carried out in the field of Animal science brings together such families of science as Lactation, Somatic cell count, Milk yield and Lactose. The concepts of his Somatic cell count study are interwoven with issues in Intramammary infection and Somatic cell.

When carried out as part of a general Statistics research project, his work on Standard deviation, Homogeneity and Normality is frequently linked to work in Random effects model and Homogeneous, therefore connecting diverse disciplines of study. His Culling study in the realm of Herd connects with subjects such as Mycobacterium avium subspecies paratuberculosis and Feces. His Sire research is multidisciplinary, relying on both Quantitative trait locus, Artificial insemination and Heritability.

He most often published in these fields:

  • Animal science (28.57%)
  • Statistics (25.00%)
  • Herd (25.00%)

What were the highlights of his more recent work (between 2011-2018)?

  • Mycobacterium avium subspecies paratuberculosis (10.71%)
  • Herd (25.00%)
  • Genome-wide association study (7.14%)

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

George E. Shook mostly deals with Mycobacterium avium subspecies paratuberculosis, Herd, Genome-wide association study, Single-nucleotide polymorphism and Veterinary medicine. His studies in Herd integrate themes in fields like Variables, Sampling, Somatic cell count, Milking and Receiver operating characteristic. In his research on the topic of Genome-wide association study, Culling and Genetic variation is strongly related with Genetic marker.

The various areas that George E. Shook examines in his Veterinary medicine study include Lactation, Immunology, Intramammary infection, Heritability and Animal science. He interconnects Dairy cattle, Disease and Sire in the investigation of issues within Immunology. His work on Animal science is being expanded to include thematically relevant topics such as Logistic regression.

Between 2011 and 2018, his most popular works were:

  • Genome-Wide Association Analysis and Genomic Prediction of Mycobacterium avium Subspecies paratuberculosis Infection in US Jersey Cattle (35 citations)
  • Genome-Wide Association Study of Susceptibility to Infection by Mycobacterium avium Subspecies paratuberculosis in Holstein Cattle (28 citations)
  • Genetic Selection for Mastitis Resistance. (18 citations)

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

  • Genetics
  • Gene
  • Statistics

George E. Shook spends much of his time researching Single-nucleotide polymorphism, Herd, Mycobacterium avium subspecies paratuberculosis, Genome-wide association study and Somatic cell count. The study incorporates disciplines such as Culling, Immunology, Genetic marker, Jersey cattle and Genetic variation in addition to Single-nucleotide polymorphism. His Herd research is multidisciplinary, incorporating perspectives in Genetics, Bayes' theorem and Genotype.

His Somatic cell count research incorporates themes from Environmental health, Dairy cattle, Disease, Risk of infection and Sire. Risk of infection is closely attributed to Incidence in his research.

Best Publications

  • An optimum transformation for somatic cell concentration in milk.

    A.K.A. Ali;G.E. Shook

  • Selection on Somatic Cell Score to Improve Resistance to Mastitis in the United States

    G.E. Shook;M.M. Schutz

  • A Lactation Measure of Somatic Cell Count

    G.R. Wiggans;G.E. Shook

  • Selection for disease resistance.

    G.E. Shook

  • Major advances in determining appropriate selection goals.

    G.E. Shook

  • Relationship Between Lactation Measures of Somatic Cell Concentration and Milk Yield

    R.F. Raubertas;G.E. Shook

  • Genetic improvement of mastitis through selection on somatic cell count.

    George E. Shook

  • Genetic variation of Mycobacterium avium ssp. paratuberculosis infection in US Holsteins.

    M.G. Gonda;Y.M. Chang;G.E. Shook;M.T. Collins

  • Genotype by environment interaction and genetic correlations among parities for somatic cell count and milk yield.

    Georgios Banos;Ge Shook

  • Effect of Mycobacterium paratuberculosis infection on production, reproduction, and health traits in US Holsteins

    M.G. Gonda;Y.M. Chang;G.E. Shook;M.T. Collins

  • Effects of the Signal Transducer and Activator of Transcription 1 (STAT1) Gene on Milk Production Traits in Holstein Dairy Cattle

    O. Cobanoglu;I. Zaitoun;Y.M. Chang;G.E. Shook

  • Genetic parameters for anovulation and pregnancy loss in dairy cattle

    R.L. Bamber;G.E. Shook;M.C. Wiltbank;J.E.P. Santos

  • Genetic and economic responses to breeding programs that consider mastitis.

    E. Strandberg;G.E. Shook

  • Assessment of the Impact of Somatic Cell Count on Functional Longevity in Holstein and Jersey Cattle Using Survival Analysis Methodology

    D.Z. Caraviello;K.A. Weigel;G.E. Shook;P.L. Ruegg

  • Genome-Wide Association Analysis and Genomic Prediction of Mycobacterium avium Subspecies paratuberculosis Infection in US Jersey Cattle

    Yalda Zare;George E. Shook;Michael T. Collins;Brian W. Kirkpatrick

  • Whole‐Genome association analysis of susceptibility to paratuberculosis in Holstein cattle

    B. W. Kirkpatrick;X. Shi;G. E. Shook;M. T. Collins

  • Identification of a QTL on BTA20 affecting susceptibility to Mycobacterium avium ssp. paratuberculosis infection in US Holsteins.

    M. G. Gonda;B. W. Kirkpatrick;G. E. Shook;M. T. Collins

  • Evaluation of models for somatic cell score lactation patterns in Holsteins.

    Sandra Luisa Rodriguez-Zas;Daniel Gianola;George E. Shook

  • Factors related to milk loss in quarters with low somatic cell counts.

    L.K. Fox;G.E. Shook;L.H. Schultz

  • Reproductive performance in genetic lines selected for high or average milk yield.

    W.H. Hageman;G.E. Shook;W.J. Tyler

  • Prediction of Mastitis Using Milk Somatic Cell Count, N-Acetyl-β-D-Glucosaminidase, and Lactose

    L.M. Berning;G.E. Shook

Frequent Co-Authors

Brian W. Kirkpatrick
Brian W. Kirkpatrick University of Wisconsin–Madison
Michael T. Collins
Michael T. Collins University of Wisconsin–Madison
Daniel Gianola
Daniel Gianola University of Wisconsin–Madison
Sandra L. Rodriguez-Zas
Sandra L. Rodriguez-Zas University of Illinois at Urbana-Champaign
L.H. Schultz
L.H. Schultz University of Wisconsin–Madison
Kent A. Weigel
Kent A. Weigel University of Wisconsin–Madison
Jack C. M. Dekkers
Jack C. M. Dekkers Iowa State University
David R. Mertens
David R. Mertens Agricultural Research Service
Pamela L. Ruegg
Pamela L. Ruegg Michigan State University
Ynte H. Schukken
Ynte H. Schukken Wageningen University & Research

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those interested in studying Animal Science and Veterinary fields, exploring related online degrees can expand career opportunities significantly. For instance, pursuing a doctorate in counseling online offers a unique route to specialize in animal behavior or therapy, blending veterinary knowledge with mental health expertise.

Many wonder about careers with animals that pay well. Fields like veterinary medicine, animal nutrition, and wildlife conservation show promising income potential alongside personal fulfillment. Online degrees can accelerate access to these roles.

Additionally, skills gained through Animal Science can transition into administrative and leadership roles. For example, understanding management and health can pave the way to become an athletic director. Learn more about how to become an athletic director and how such careers intertwine with scientific backgrounds.

Lastly, consider complementing your studies with programs in human health and fitness. The online exercise science programs offer fast tracks to building expertise that can support animal and human health alike, opening diverse career paths within science and wellness sectors.

Best Scientists Citing George E. Shook

Trending Scientists

Recently Published Articles