Thomas C. Cunnane

27 total papers · 518 total citations
24 papers, 457 citations indexed

About

Thomas C. Cunnane is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Thomas C. Cunnane has authored 24 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 15 papers in Cellular and Molecular Neuroscience and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Thomas C. Cunnane's work include Ion channel regulation and function (16 papers), Neuroscience and Neuropharmacology Research (8 papers) and Receptor Mechanisms and Signaling (7 papers). Thomas C. Cunnane is often cited by papers focused on Ion channel regulation and function (16 papers), Neuroscience and Neuropharmacology Research (8 papers) and Receptor Mechanisms and Signaling (7 papers). Thomas C. Cunnane collaborates with scholars based in United Kingdom, United States and Japan. Thomas C. Cunnane's co-authors include James A. Brock, Keith L. Brain, James Ziogas, Damian J. Williams, Kenro Imaeda, Noriyoshi Teramoto, Hai‐Lei Zhu, Hidetaka Morinaga, Masatoshi Nomura and Tetsuichiro Inai and has published in prestigious journals such as Nature, PLoS ONE and The Journal of Physiology.

In The Last Decade

Thomas C. Cunnane

24 papers receiving 442 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 C. Cunnane 284 201 98 93 73 24 457
Anna Kulik 225 0.8× 327 1.6× 35 0.4× 50 0.5× 93 1.3× 12 439
D.J. Trezise 193 0.7× 147 0.7× 58 0.6× 133 1.4× 139 1.9× 15 435
Narelle J. Bramich 292 1.0× 138 0.7× 138 1.4× 103 1.1× 66 0.9× 18 487
I Hăulică 182 0.6× 192 1.0× 101 1.0× 100 1.1× 68 0.9× 39 509
Neela Kotecha 232 0.8× 155 0.8× 133 1.4× 210 2.3× 30 0.4× 22 405
Juan José Marengo 398 1.4× 216 1.1× 145 1.5× 93 1.0× 25 0.3× 16 545
Dominique Blais 194 0.7× 95 0.5× 37 0.4× 99 1.1× 130 1.8× 13 475
Takayuki Endoh 206 0.7× 248 1.2× 33 0.3× 62 0.7× 102 1.4× 37 414
Youji Ikeuchi 234 0.8× 187 0.9× 29 0.3× 40 0.4× 85 1.2× 31 405
H Koyano 148 0.5× 197 1.0× 84 0.9× 88 0.9× 316 4.3× 14 472

Countries citing papers authored by Thomas C. Cunnane

Since Specialization
Citations

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

Fields of papers citing papers by Thomas C. Cunnane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas C. Cunnane

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