Kevin T.T. Corley

52 total papers · 1.3k total citations
39 papers, 811 citations indexed

About

Kevin T.T. Corley is a scholar working on Surgery, Nephrology and Equine. According to data from OpenAlex, Kevin T.T. Corley has authored 39 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Surgery, 19 papers in Nephrology and 16 papers in Equine. Recurrent topics in Kevin T.T. Corley's work include Renal function and acid-base balance (19 papers), Hemodynamic Monitoring and Therapy (17 papers) and Veterinary Equine Medical Research (16 papers). Kevin T.T. Corley is often cited by papers focused on Renal function and acid-base balance (19 papers), Hemodynamic Monitoring and Therapy (17 papers) and Veterinary Equine Medical Research (16 papers). Kevin T.T. Corley collaborates with scholars based in United Kingdom, United States and Ireland. Kevin T.T. Corley's co-authors include Martin O. Furr, Lydia L. Donaldson, Martin Furr, A. R. Hollis, Gayle Hallowell, Celia M. Marr, Eric K. Birks, Mary M. Durando, Raymond C. Boston and Dirk U. Pfeiffer and has published in prestigious journals such as Journal of Clinical Microbiology, European Journal of Immunology and International Immunology.

In The Last Decade

Kevin T.T. Corley

38 papers receiving 755 citations

Author Peers

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

Author Last Decade Papers Cites
Kevin T.T. Corley 411 286 258 172 127 39 811
Mark J. Acierno 166 0.4× 411 1.4× 160 0.6× 100 0.6× 92 0.7× 56 1.0k
Martin O. Furr 521 1.3× 316 1.1× 125 0.5× 82 0.5× 161 1.3× 30 820
Kent A. Gossett 161 0.4× 226 0.8× 106 0.4× 107 0.6× 129 1.0× 46 769
L. Monreal 350 0.9× 154 0.5× 161 0.6× 26 0.2× 79 0.6× 39 736
Bettina Dunkel 377 0.9× 242 0.8× 131 0.5× 33 0.2× 67 0.5× 74 804
Fairfield T. Bain 270 0.7× 185 0.6× 85 0.3× 39 0.2× 91 0.7× 37 757
ANNE M. KOTERBA 522 1.3× 343 1.2× 125 0.5× 69 0.4× 99 0.8× 26 918
J. G. Hauptman 125 0.3× 193 0.7× 173 0.7× 36 0.2× 175 1.4× 30 822
Eduard Jose‐Cunilleras 509 1.2× 169 0.6× 73 0.3× 36 0.2× 56 0.4× 74 930
Søren Boysen 75 0.2× 195 0.7× 394 1.5× 141 0.8× 167 1.3× 76 1.1k

Countries citing papers authored by Kevin T.T. Corley

Since Specialization
Citations

This map shows the geographic impact of Kevin T.T. Corley'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 Kevin T.T. Corley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin T.T. Corley more than expected).

Fields of papers citing papers by Kevin T.T. Corley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin T.T. Corley. 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 Kevin T.T. Corley. The network helps show where Kevin T.T. Corley may publish in the future.

Co-authorship network of co-authors of Kevin T.T. Corley

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin T.T. Corley. A scholar is included among the top collaborators of Kevin T.T. Corley 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 Kevin T.T. Corley. Kevin T.T. Corley 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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