Gregory R. Keele

1.4k total citations
41 papers, 641 citations indexed

About

Gregory R. Keele is a scholar working on Molecular Biology, Genetics and Spectroscopy. According to data from OpenAlex, Gregory R. Keele has authored 41 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 16 papers in Genetics and 7 papers in Spectroscopy. Recurrent topics in Gregory R. Keele's work include Genetic Mapping and Diversity in Plants and Animals (9 papers), Advanced Proteomics Techniques and Applications (7 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Gregory R. Keele is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (9 papers), Advanced Proteomics Techniques and Applications (7 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Gregory R. Keele collaborates with scholars based in United States, Canada and United Kingdom. Gregory R. Keele's co-authors include Gary A. Churchill, William Valdar, Jennifer Beebe‐Dimmer, Wesley L. Crouse, Kathleen A. Cooney, Steven P. Gygi, Kaveri Korgavkar, Samir N. P. Kelada, Roland Asmar and Tatjana Sajic and has published in prestigious journals such as Cell, Nature Communications and Blood.

In The Last Decade

Gregory R. Keele

37 papers receiving 635 citations

Peers

Gregory R. Keele

GENET

PRM

SPECT

Joshua C. Kwekel United States

Lia Savu France

Kathleen M. Gilbert United States

Nicolas Salvetat France

Juilee Rege United States

Jan Idkowiak United Kingdom

A. J. Moe United States

Daniel R. McNeill United States

Elisa Cirillo Netherlands

Stefan Graw United States

Joshua C. Kwekel United States

Gregory R. Keele

503 ×1.5

117 ×0.8

GENET

39 ×0.5

PRM

66 ×0.8

SPECT

129 ×2.1

Citations per year, relative to Gregory R. Keele Gregory R. Keele (= 1×) peers Joshua C. Kwekel

Countries citing papers authored by Gregory R. Keele

Since Specialization

Citations

This map shows the geographic impact of Gregory R. Keele'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 Gregory R. Keele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory R. Keele more than expected).

Fields of papers citing papers by Gregory R. Keele

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory R. Keele. 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 Gregory R. Keele. The network helps show where Gregory R. Keele may publish in the future.

Co-authorship network of co-authors of Gregory R. Keele

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory R. Keele. A scholar is included among the top collaborators of Gregory R. Keele 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 Gregory R. Keele. Gregory R. Keele is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Keele, Gregory R., Erin D. Jeffery, Dina L. Bai, et al.. (2025). Expanding the landscape of aging via orbitrap astral mass spectrometry and tandem mass tag integration. Nature Communications. 16(1). 4753–4753.

Stephenson, Daniel, Gregory R. Keele, Ariel Hay, et al.. (2025). GPX4 regulates lipid peroxidation and ferroptosis of stored red blood cells. 1(3). 100020–100020.

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.

Reisz, Julie A., Eric J. Earley, Travis Nemkov, et al.. (2024). Arginine metabolism is a biomarker of red blood cell and human aging. Aging Cell. 24(2). e14388–e14388. 6 indexed citations

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

Yu, Qing, Xinyue Liu, Mark P. Keller, et al.. (2023). Sample multiplexing-based targeted pathway proteomics with real-time analytics reveals the impact of genetic variation on protein expression. Nature Communications. 14(1). 555–555. 20 indexed citations

Keele, Gregory R., et al.. (2023). The trouble with triples: Examining the impact of measurement error in mediation analysis. Genetics. 224(1). 1 indexed citations

Zhang, Tian, Gregory R. Keele, Matthew Vincent, et al.. (2023). Multi-omics analysis identifies drivers of protein phosphorylation. Genome biology. 24(1). 52–52. 9 indexed citations

Aygün, Nil, Dan Liang, Wesley L. Crouse, et al.. (2023). Inferring cell-type-specific causal gene regulatory networks during human neurogenesis. Genome biology. 24(1). 130–130. 10 indexed citations

10.

Keele, Gregory R., Jigang Zhang, John Szpyt, et al.. (2023). Global and tissue-specific aging effects on murine proteomes. Cell Reports. 42(7). 112715–112715. 29 indexed citations

11.

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

12.

Crouse, Wesley L., Gregory R. Keele, Katie Holl, et al.. (2022). Genetic Mapping of Multiple Traits Identifies Novel Genes for Adiposity, Lipids, and Insulin Secretory Capacity in Outbred Rats. Diabetes. 72(1). 135–148. 7 indexed citations

13.

Crouse, Wesley L., Swapan K. Das, Gregory R. Keele, et al.. (2022). Transcriptome-wide analyses of adipose tissue in outbred rats reveal genetic regulatory mechanisms relevant for human obesity. Physiological Genomics. 54(6). 206–219. 6 indexed citations

14.

Lee, Chloe H., Evan G. Williams, Tatjana Sajic, et al.. (2021). Diagnostics and correction of batch effects in large‐scale proteomic studies: a tutorial. Molecular Systems Biology. 17(8). e10240–e10240. 89 indexed citations

15.

Zhang, Tian, Gregory R. Keele, Gary A. Churchill, Steven P. Gygi, & João A. Paulo. (2021). Strain-Specific Peptide (SSP) Interference Reference Sample: A Genetically Encoded Quality Control for Isobaric Tagging Strategies. Analytical Chemistry. 93(12). 5241–5247. 8 indexed citations

16.

Keele, Gregory R., Tian Zhang, Matthew Vincent, et al.. (2021). Regulation of protein abundance in genetically diverse mouse populations. Cell Genomics. 1(1). 100003–100003. 24 indexed citations

17.

Hepperla, Austin J., Gregory R. Keele, Hayretin Yumerefendi, et al.. (2020). An optogenetic switch for the Set2 methyltransferase provides evidence for transcription-dependent and -independent dynamics of H3K36 methylation. Genome Research. 30(11). 1605–1617. 13 indexed citations

18.

Linke, Vanessa, Katherine A. Overmyer, Ian Miller, et al.. (2020). A large-scale genome–lipid association map guides lipid identification. Nature Metabolism. 2(10). 1149–1162. 34 indexed citations

19.

Keele, Gregory R., Wesley L. Crouse, Samir N. P. Kelada, & William Valdar. (2019). Determinants of QTL Mapping Power in the Realized Collaborative Cross. G3 Genes Genomes Genetics. 9(5). 1707–1727. 32 indexed citations

20.

Maurizio, Paul L., Martin T. Ferris, Gregory R. Keele, et al.. (2017). Bayesian Diallel Analysis Reveals Mx1 -Dependent and Mx1 -Independent Effects on Response to Influenza A Virus in Mice. G3 Genes Genomes Genetics. 8(2). 427–445. 15 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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