Gary A. Churchill

44.5k total citations · 11 hit papers
309 papers, 28.3k citations indexed

About

Gary A. Churchill is a scholar working on Genetics, Molecular Biology and Physiology. According to data from OpenAlex, Gary A. Churchill has authored 309 papers receiving a total of 28.3k indexed citations (citations by other indexed papers that have themselves been cited), including 185 papers in Genetics, 152 papers in Molecular Biology and 48 papers in Physiology. Recurrent topics in Gary A. Churchill's work include Genetic Mapping and Diversity in Plants and Animals (133 papers), Genetic and phenotypic traits in livestock (70 papers) and Genetic Associations and Epidemiology (39 papers). Gary A. Churchill is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (133 papers), Genetic and phenotypic traits in livestock (70 papers) and Genetic Associations and Epidemiology (39 papers). Gary A. Churchill collaborates with scholars based in United States, Germany and United Kingdom. Gary A. Churchill's co-authors include R. W. Doerge, Kathleen F. Kerr, Karl W. Broman, Śaunak Sen, Hao Wu, Xiangqin Cui, Śaunak Sen, Beverly Paigen, Mitchell Martin and Joe Felsenstein and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Gary A. Churchill

296 papers receiving 27.7k citations

Hit Papers

Empirical threshold values for quantitative trait mapping. 1994 2026 2004 2015 1994 2003 2000 1996 2002 1000 2.0k 3.0k 4.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Empirical threshold values for quantitative trait mapping.
    1994 4.2k citations Gary A. Churchill et al. Genetics profile →
  2. R/qtl: QTL mapping in experimental crosses
    2003 2.6k citations Karl W. Broman, Gary A. Churchill et al. Bioinformatics profile →
  3. Analysis of Variance for Gene Expression Microarray Data
    2000 993 citations Gary A. Churchill et al. profile →
  4. Permutation Tests for Multiple Loci Affecting a Quantitative Character
    1996 972 citations Gary A. Churchill et al. Genetics profile →
  5. Fundamentals of experimental design for cDNA microarrays
    2002 733 citations Gary A. Churchill profile →
  6. Statistical tests for differential expression in cDNA microarray experiments
    2003 663 citations Xiangqin Cui, Gary A. Churchill profile →
  7. A Hidden Markov Model approach to variation among sites in rate of evolution
    1996 623 citations Gary A. Churchill et al. profile →
  8. Variation in gene expression within and among natural populations
    2002 573 citations Gary A. Churchill et al. profile →
  9. Properties of statistical tests of neutrality for DNA polymorphism data.
    1995 541 citations Gary A. Churchill et al. Genetics profile →
  10. A Statistical Framework for Quantitative Trait Mapping
    2001 511 citations Śaunak Sen, Gary A. Churchill Genetics profile →
  11. R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populations
    2018 242 citations Karl W. Broman, Daniel M. Gatti et al. Genetics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gary A. Churchill United States 73 13.3k 12.3k 7.2k 2.4k 1.3k 309 28.3k
Leonid Kruglyak United States 73 15.3k 1.1× 13.2k 1.1× 3.3k 0.5× 1.6k 0.7× 1.7k 1.3× 163 27.6k
Steve Rozen Singapore 53 10.3k 0.8× 16.6k 1.4× 8.2k 1.1× 1.4k 0.6× 2.1k 1.6× 117 34.0k
Pamela Sklar United States 17 15.3k 1.2× 8.3k 0.7× 2.6k 0.4× 1.5k 0.6× 1.5k 1.2× 23 26.3k
Manuel A. R. Ferreira Australia 33 14.9k 1.1× 7.9k 0.6× 2.5k 0.3× 2.5k 1.1× 2.2k 1.6× 87 27.6k
Shaun Purcell United States 53 22.3k 1.7× 11.7k 1.0× 3.3k 0.5× 2.7k 1.1× 2.2k 1.7× 136 39.1k
Alkes L. Price United States 57 16.8k 1.3× 8.9k 0.7× 2.6k 0.4× 1.2k 0.5× 1.2k 0.9× 106 26.1k
Jian Yang Australia 59 18.6k 1.4× 8.6k 0.7× 2.7k 0.4× 1.7k 0.7× 1.2k 0.9× 208 28.6k
Paul I. W. de Bakker United States 37 16.6k 1.2× 12.8k 1.0× 2.9k 0.4× 2.0k 0.8× 3.1k 2.3× 89 34.6k
Julian Maller United States 14 17.9k 1.3× 11.0k 0.9× 3.2k 0.4× 2.5k 1.1× 3.2k 2.4× 15 35.6k
D.B. Bender United States 21 12.9k 1.0× 6.7k 0.5× 2.4k 0.3× 1.3k 0.6× 1.4k 1.0× 33 24.6k

Countries citing papers authored by Gary A. Churchill

Since Specialization
Citations

This map shows the geographic impact of Gary A. Churchill's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gary A. Churchill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary A. Churchill more than expected).

Fields of papers citing papers by Gary A. Churchill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary A. Churchill. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gary A. Churchill. The network helps show where Gary A. Churchill may publish in the future.

Co-authorship network of co-authors of Gary A. Churchill

This figure shows the co-authorship network connecting the top 25 collaborators of Gary A. Churchill. A scholar is included among the top collaborators of Gary A. Churchill based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gary A. Churchill. Gary A. Churchill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Keele, Gregory R., Monika Dzieciątkowska, Ariel Hay, et al.. (2025). Genetic architecture of the murine red blood cell proteome reveals central role of hemoglobin beta cysteine 93 in maintaining redox balance. Cell Genomics. 6(3). 101069–101069.
2.
Mullis, Martin N., Kevin M. Wright, Anil Raj, et al.. (2025). Analysis of lifespan across diversity outbred mouse studies identifies multiple longevity-associated loci. Genetics. 230(4).
3.
Dumont, Beth L., Daniel M. Gatti, Mallory A. Ballinger, et al.. (2024). Into the Wild: A novel wild-derived inbred strain resource expands the genomic and phenotypic diversity of laboratory mouse models. PLoS Genetics. 20(4). e1011228–e1011228. 9 indexed citations
4.
5.
D’Alessandro, Angelo, Gregory R. Keele, Ariel Hay, et al.. (2024). Ferroptosis regulates hemolysis in stored murine and human red blood cells. Blood. 145(7). 765–783. 13 indexed citations
6.
Churchill, Gary A., et al.. (2022). A machine-vision-based frailty index for mice. Nature Aging. 2(8). 756–766. 11 indexed citations
7.
Vincent, Matthew, Gregory R. Keele, Daniel M. Gatti, et al.. (2022). QTLViewer: an interactive webtool for genetic analysis in the Collaborative Cross and Diversity Outbred mouse populations. G3 Genes Genomes Genetics. 12(8). 9 indexed citations
8.
Perez, B.C., M.C.A.M. Bink, Karen L. Svenson, Gary A. Churchill, & M.P.L. Calus. (2022). Adding gene transcripts into genomic prediction improves accuracy and reveals sampling time dependence. G3 Genes Genomes Genetics. 12(11). 7 indexed citations
9.
Zhang, Guozhu, Anil Raj, Baby Martin-McNulty, et al.. (2021). Intermittent fasting and caloric restriction interact with genetics to shape physiological health in mice. Genetics. 220(1). 4 indexed citations
10.
Keenan, Brendan T, Raymond J. Galante, Jie Lian, et al.. (2020). High-throughput sleep phenotyping produces robust and heritable traits in Diversity Outbred mice and their founder strains. SLEEP. 43(5). 15 indexed citations
11.
Linke, Vanessa, Kelsey L. Barrett, Frederick J. Boehm, et al.. (2019). Genetic determinants of gut microbiota composition and bile acid profiles in mice. PLoS Genetics. 15(8). e1008073–e1008073. 81 indexed citations
12.
Broman, Karl W., Daniel M. Gatti, Karen L. Svenson, Śaunak Sen, & Gary A. Churchill. (2019). Cleaning Genotype Data from Diversity Outbred Mice. G3 Genes Genomes Genetics. 9(5). 1571–1579. 16 indexed citations
13.
Recla, Jill M., Jason A. Bubier, Daniel M. Gatti, et al.. (2019). Genetic mapping in Diversity Outbred mice identifies a Trpa1 variant influencing late-phase formalin response. Pain. 160(8). 1740–1753. 18 indexed citations
14.
Sarsani, Vishal, Narayanan Raghupathy, Ian T. Fiddes, et al.. (2019). The Genome of C57BL/6J “Eve”, the Mother of the Laboratory Mouse Genome Reference Strain. G3 Genes Genomes Genetics. 9(6). 1795–1805. 40 indexed citations
15.
Raghupathy, Narayanan, Kwangbom Choi, Matthew Vincent, et al.. (2018). Hierarchical analysis of RNA-seq reads improves the accuracy of allele-specific expression. Bioinformatics. 34(13). 2177–2184. 53 indexed citations
16.
Broman, Karl W., Daniel M. Gatti, Petr Šimeček, et al.. (2018). R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populations. Genetics. 211(2). 495–502. 242 indexed citations breakdown →
17.
Šimeček, Petr, Jiřı́ Forejt, Robert W. Williams, et al.. (2017). High-Resolution Maps of Mouse Reference Populations. G3 Genes Genomes Genetics. 7(10). 3427–3434. 7 indexed citations
18.
Šimeček, Petr, Gary A. Churchill, Hyuna Yang, et al.. (2015). Genetic Analysis of Substrain Divergence in Non-Obese Diabetic (NOD) Mice. G3 Genes Genomes Genetics. 5(5). 771–775. 19 indexed citations
19.
Verdugo, Ricardo A., Christian F. Deschepper, Gloria Muñoz, Daniel Pomp, & Gary A. Churchill. (2009). Importance of randomization in microarray experimental designs with Illumina platforms. Nucleic Acids Research. 37(17). 5610–5618. 23 indexed citations
20.
Cui, Xiangqin, Jason P. Affourtit, Keith R. Shockley, Yong Woo, & Gary A. Churchill. (2006). Inheritance Patterns of Transcript Levels in F1 Hybrid Mice. Genetics. 174(2). 627–637. 31 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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