World's Best Scientists 2026 revealed!

D-Index & Metrics

Animal Science and Veterinary

D-Index
27
Citations
4696
World Ranking
2754
National Ranking
778

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

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
Randy D. Shaver
Randy D. Shaver University of Wisconsin–Madison
Pamela L. Ruegg
Pamela L. Ruegg Michigan State University
Ynte H. Schukken
Ynte H. Schukken Wageningen University & Research

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