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Genetics

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102
Citations
57921
World Ranking
694
National Ranking
353

Medicine

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101
Citations
57569
World Ranking
7808
National Ranking
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Research.com Recognitions

  • 2019 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Gary A. Churchill is affiliated with The Jackson Laboratory in the United States. Their research primarily spans the fields of Biochemistry, Genetics and Molecular Biology, with a significant focus also on Medicine. The major subfields of study include Molecular Biology, Genetics, Physiology, Aging, and Cancer Research.

The scientist has contributed extensively to topics such as:

  • Genetic Mapping and Diversity in Plants and Animals
  • Genetics, Aging, and Longevity in Model Organisms
  • Adipose Tissue and Metabolism
  • Genetic and phenotypic traits in livestock
  • Epigenetics and DNA Methylation
  • Genetic Associations and Epidemiology
  • Dietary Effects on Health

Frequent co-authors in their publications include:

  • Gregory R. Keele
  • Daniel M. Gatti
  • Ron Korstanje
  • Fernando Pardo-Manuel de Villena
  • Matthew Vincent

They have published repeatedly in several venues, notably:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • UNC Libraries
  • Genome biology
  • Blood
  • G3 Genes Genomes Genetics

Selected recent papers include the following:

  • "Dietary restriction impacts health and lifespan of genetically diverse mice," 2024, Nature
  • "A microbiome-dependent gut-brain pathway regulates motivation for exercise," 2022, Nature
  • "Proteomic and transcriptomic profiling reveal different aspects of aging in the kidney," 2021, eLife
  • "Fasting blood glucose as a predictor of mortality: Lost in translation," 2021, Cell Metabolism
  • "Bayesian model selection reveals biological origins of zero inflation in single-cell transcriptomics," 2020, Genome biology

Gary A. Churchill was recognized as a Fellow of the American Association for the Advancement of Science (AAAS) in 2019.

Best Publications

  • Empirical threshold values for quantitative trait mapping.

    G A Churchill;R W Doerge

  • R/qtl: QTL mapping in experimental crosses

    Karl W. Broman;Hao Wu;Saunak Sen;Gary A. Churchill

  • A Hidden Markov Model approach to variation among sites in rate of evolution.

    Joseph Felsenstein;Gary A. Churchill

  • Optimizing parental selection for genetic linkage maps

    James A Anderson;G. A. Churchill;J. E. Autrique;S. D. Tanksley

  • Analysis of Variance for Gene Expression Microarray Data

    M K Kerr;M Martin;G A Churchill

  • Identification of conserved gene expression features between murine mammary carcinoma models and human breast tumors

    Jason I Herschkowitz;Karl Simin;Victor J Weigman;Igor Mikaelian

  • Fundamentals of experimental design for cDNA microarrays.

    Gary A. Churchill

  • Permutation Tests for Multiple Loci Affecting a Quantitative Character

    R W Doerge;G A Churchill

  • Characterization of human embryonic stem cell lines by the International Stem Cell Initiative

    Oluseun Adewumi;Behrouz Aflatoonian;Lars Ahrlund-Richter;Michal Amit

  • The Collaborative Cross, a community resource for the genetic analysis of complex traits

    Gary A. Churchill;David C. Airey;Hooman Allayee;Joe M. Angel

  • Statistical tests for differential expression in cDNA microarray experiments.

    Xiangqin Cui;Gary A Churchill

  • Experimental design for gene expression microarrays

    M. Kathleen Kerr;Gary A. Churchill

  • Statistical design and the analysis of gene expression microarray data.

    Kerr Mk;Churchill Ga

  • Variation in gene expression within and among natural populations

    Marjorie F. Oleksiak;Gary A. Churchill;Douglas L. Crawford

  • Properties of statistical tests of neutrality for DNA polymorphism data.

    Katy L. Simonsen;Gary A. Churchill;Charles F. Aquadro

  • A statistical framework for quantitative trait mapping.

    S Sen;G A Churchill

  • The genome architecture of the collaborative cross mouse genetic reference population

    Fuad A. Iraqi;Mustafa Mahajne;Yasser Salaymah;Hani Sandovski

  • Stochastic models for heterogeneous DNA sequences

    Gary A. Churchill

  • Bootstrapping cluster analysis: assessing the reliability of conclusions from microarray experiments.

    M K Kerr;G A Churchill

  • Department of Pathology, Thom as Jeffe rson University, Identific ation of conserved gene expression features between murine mammary carcinoma models and human breast tumors.

    Jason I Herschkowitz;Karl Simin;Victor J Weigman;Igor Mikaelian

Frequent Co-Authors

Beverly Paigen
Beverly Paigen University of Pennsylvania
Fernando Pardo-Manuel de Villena
Fernando Pardo-Manuel de Villena University of North Carolina at Chapel Hill
Elissa J. Chesler
Elissa J. Chesler University of Tennessee at Knoxville
David W. Threadgill
David W. Threadgill Texas A&M University
Leonard McMillan
Leonard McMillan University of North Carolina at Chapel Hill
Karl W. Broman
Karl W. Broman University of Wisconsin–Madison
Daniel Pomp
Daniel Pomp University of North Carolina at Chapel Hill
Martin C. Carey
Martin C. Carey Brigham and Women's Hospital
Joseph S. Takahashi
Joseph S. Takahashi The University of Texas Southwestern Medical Center
Luanne L. Peters
Luanne L. Peters The Jackson Laboratory

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