J. Thomas Buckley

22 total papers · 1.2k total citations
20 papers, 1.1k citations indexed

About

J. Thomas Buckley is a scholar working on Molecular Biology, Reproductive Medicine and Cell Biology. According to data from OpenAlex, J. Thomas Buckley has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Reproductive Medicine and 5 papers in Cell Biology. Recurrent topics in J. Thomas Buckley's work include Sperm and Testicular Function (6 papers), Pancreatic function and diabetes (4 papers) and Erythrocyte Function and Pathophysiology (4 papers). J. Thomas Buckley is often cited by papers focused on Sperm and Testicular Function (6 papers), Pancreatic function and diabetes (4 papers) and Erythrocyte Function and Pathophysiology (4 papers). J. Thomas Buckley collaborates with scholars based in United States, Canada and Switzerland. J. Thomas Buckley's co-authors include Richard Stambaugh, J. N. Hawthorne, Gijs R. van den Brink, Michael W. Parker, Yvonne A. Lefebvre, Véronique Cabiaux, Ruddy Wattiez, Jean‐Marie Ruysschaert, Jamie Rossjohn and Srikumar M. Raja and has published in prestigious journals such as Science, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

J. Thomas Buckley

20 papers receiving 998 citations

Author Peers

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

Author Last Decade Papers Cites
J. Thomas Buckley 455 308 226 171 152 20 1.1k
Sonia Métayer 411 0.9× 450 1.5× 249 1.1× 121 0.7× 86 0.6× 18 1.3k
Brian H. Jones 474 1.0× 527 1.7× 408 1.8× 95 0.6× 107 0.7× 27 1.3k
Anita P. Hoffer 352 0.8× 597 1.9× 272 1.2× 81 0.5× 97 0.6× 31 1.3k
Atsushi Asano 430 0.9× 650 2.1× 497 2.2× 84 0.5× 135 0.9× 59 1.2k
Ericka L. Anderson 769 1.7× 316 1.0× 425 1.9× 50 0.3× 95 0.6× 13 1.3k
M Zollinger 453 1.0× 86 0.3× 58 0.3× 89 0.5× 113 0.7× 15 1.0k
Daisuke Irikura 419 0.9× 111 0.4× 103 0.5× 159 0.9× 42 0.3× 29 943
Amanda Hutchings 664 1.5× 68 0.2× 76 0.3× 113 0.7× 109 0.7× 32 1.3k
Ekyune Kim 363 0.8× 417 1.4× 378 1.7× 36 0.2× 133 0.9× 33 988
Michael J. Wolkowicz 566 1.2× 647 2.1× 500 2.2× 70 0.4× 65 0.4× 20 1.3k

Countries citing papers authored by J. Thomas Buckley

Since Specialization
Citations

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

Fields of papers citing papers by J. Thomas Buckley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Thomas Buckley

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