Thomas G. Sherman

37 total papers · 1.4k total citations
30 papers, 1.2k citations indexed

About

Thomas G. Sherman is a scholar working on Molecular Biology, Social Psychology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Thomas G. Sherman has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Social Psychology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Thomas G. Sherman's work include Neuroendocrine regulation and behavior (12 papers), Electrolyte and hormonal disorders (6 papers) and RNA Research and Splicing (3 papers). Thomas G. Sherman is often cited by papers focused on Neuroendocrine regulation and behavior (12 papers), Electrolyte and hormonal disorders (6 papers) and RNA Research and Splicing (3 papers). Thomas G. Sherman collaborates with scholars based in United States, Italy and India. Thomas G. Sherman's co-authors include Stanley J. Watson, Michael Lewis, Paresh D. Patel, James P. Herman, Daniel Goldman, Olivier Civelli, Martin Schäfer, James Douglass, Michelle Roberts and Alan Robinson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Comparative Neurology.

In The Last Decade

Thomas G. Sherman

30 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Thomas G. Sherman 453 372 364 251 224 30 1.2k
B. Lutz‐Bucher 345 0.8× 309 0.8× 304 0.8× 307 1.2× 150 0.7× 53 1.0k
J. C. Buckingham 475 1.0× 214 0.6× 217 0.6× 427 1.7× 228 1.0× 54 1.4k
Pierre Broqua 291 0.6× 455 1.2× 133 0.4× 133 0.5× 277 1.2× 26 1.0k
Monique Synguélakis 452 1.0× 420 1.1× 112 0.3× 189 0.8× 93 0.4× 29 1.2k
S. Joseph 295 0.7× 310 0.8× 143 0.4× 132 0.5× 258 1.2× 56 1.3k
Delphine Burel 576 1.3× 1.0k 2.7× 271 0.7× 192 0.8× 174 0.8× 16 1.5k
Charles M. Paden 299 0.7× 478 1.3× 278 0.8× 184 0.7× 158 0.7× 38 1.2k
R A Liebelt 353 0.8× 151 0.4× 219 0.6× 308 1.2× 224 1.0× 53 1.4k
Barry G. Kasson 373 0.8× 253 0.7× 225 0.6× 125 0.5× 73 0.3× 40 1.2k
Glenda Gillies 173 0.4× 181 0.5× 288 0.8× 473 1.9× 183 0.8× 27 1.0k

Countries citing papers authored by Thomas G. Sherman

Since Specialization
Citations

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

Fields of papers citing papers by Thomas G. Sherman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas G. Sherman

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