Gregory Brubaker

32 total papers · 1.1k total citations
24 papers, 871 citations indexed

About

Gregory Brubaker is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Gregory Brubaker has authored 24 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Surgery, 16 papers in Molecular Biology and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Gregory Brubaker's work include Cholesterol and Lipid Metabolism (15 papers), Peroxisome Proliferator-Activated Receptors (10 papers) and Drug Transport and Resistance Mechanisms (7 papers). Gregory Brubaker is often cited by papers focused on Cholesterol and Lipid Metabolism (15 papers), Peroxisome Proliferator-Activated Receptors (10 papers) and Drug Transport and Resistance Mechanisms (7 papers). Gregory Brubaker collaborates with scholars based in United States, China and Brazil. Gregory Brubaker's co-authors include Jonathan D. Smith, Stanley L. Hazen, Megan Settle, Michael Kinter, Lemin Zheng, Wilfried Le Goff, Kailash Gulshan, Zhiping Wu, Andrew A. Horwitz and Michael N. Oda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Gregory Brubaker

23 papers receiving 863 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Gregory Brubaker	481	402	216	183	178	24	871
Jarkko Huuskonen	430 0.9×	441 1.1×	301 1.4×	168 0.9×	98 0.6×	25	1.0k
Yumiko Nakagawa-Toyama	492 1.0×	286 0.7×	217 1.0×	144 0.8×	158 0.9×	24	917
Marisa Viñals	398 0.8×	332 0.8×	175 0.8×	115 0.6×	99 0.6×	13	872
David Meriwether	328 0.7×	320 0.8×	173 0.8×	77 0.4×	147 0.8×	35	896
Kristin L. Gillotte	455 0.9×	400 1.0×	204 0.9×	119 0.7×	240 1.3×	11	884
Manal Zabalawi	304 0.6×	343 0.9×	160 0.7×	71 0.4×	268 1.5×	22	804
Patricia Foxworthy	315 0.7×	514 1.3×	136 0.6×	210 1.1×	56 0.3×	21	847
Debi K. Swertfeger	253 0.5×	305 0.8×	211 1.0×	131 0.7×	143 0.8×	23	771
T Nishida	436 0.9×	424 1.1×	238 1.1×	101 0.6×	51 0.3×	35	955
Ji Hoon Yu	343 0.7×	295 0.7×	111 0.5×	205 1.1×	202 1.1×	26	800

Countries citing papers authored by Gregory Brubaker

Since Specialization

Citations

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

Fields of papers citing papers by Gregory Brubaker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory Brubaker

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

All Works

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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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