Thomas M. Shea

20 total papers · 1.3k total citations
16 papers, 1.1k citations indexed

About

Thomas M. Shea is a scholar working on Molecular Biology, Physiology and Pharmacology. According to data from OpenAlex, Thomas M. Shea has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Physiology and 3 papers in Pharmacology. Recurrent topics in Thomas M. Shea's work include Nitric Oxide and Endothelin Effects (7 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Electron Spin Resonance Studies (3 papers). Thomas M. Shea is often cited by papers focused on Nitric Oxide and Endothelin Effects (7 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Electron Spin Resonance Studies (3 papers). Thomas M. Shea collaborates with scholars based in United States, India and Belgium. Thomas M. Shea's co-authors include Bettie Sue Siler Masters, Jung-Ja P. Kim, Rosemary Paschke, David L. Roberts, Ming Wang, Pavel Martásek, Linda J. Roman, Jian Zhang, R. Timothy Miller and Richard M. Watson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Thomas M. Shea

16 papers receiving 1.1k citations

Hit Papers

Three-dimensional structu... 1997 2026 2006 2016 1997 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Thomas M. Shea 537 328 273 128 122 16 1.1k
Nancy Counts Gerber 396 0.7× 418 1.3× 268 1.0× 169 1.3× 278 2.3× 22 1.1k
Jung-Ja P. Kim 758 1.4× 296 0.9× 408 1.5× 160 1.3× 148 1.2× 10 1.3k
Kevin M. Faulkner 430 0.8× 205 0.6× 145 0.5× 163 1.3× 131 1.1× 12 1.1k
H.H. Ruf 397 0.7× 212 0.6× 154 0.6× 114 0.9× 183 1.5× 28 1.2k
E. Obayashi 757 1.4× 222 0.7× 213 0.8× 222 1.7× 216 1.8× 31 1.4k
Rosemary Paschke 975 1.8× 215 0.7× 344 1.3× 103 0.8× 125 1.0× 10 1.5k
John F. Curtis 361 0.7× 243 0.7× 132 0.5× 42 0.3× 62 0.5× 19 1.0k
Frances N. Shirota 465 0.9× 483 1.5× 141 0.5× 84 0.7× 59 0.5× 56 1.4k
H. Shimada 568 1.1× 70 0.2× 369 1.4× 221 1.7× 209 1.7× 16 1.2k
Nadezhda A. Galeva 811 1.5× 135 0.4× 146 0.5× 138 1.1× 84 0.7× 42 1.4k

Countries citing papers authored by Thomas M. Shea

Since Specialization
Citations

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

Fields of papers citing papers by Thomas M. Shea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas M. Shea. 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 Thomas M. Shea. The network helps show where Thomas M. Shea may publish in the future.

Co-authorship network of co-authors of Thomas M. Shea

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas M. Shea. A scholar is included among the top collaborators of Thomas M. Shea 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 Thomas M. Shea. Thomas M. Shea 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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