Kurt T. Patton

26 total papers · 2.1k total citations
22 papers, 1.6k citations indexed

About

Kurt T. Patton is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Kurt T. Patton has authored 22 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 7 papers in Surgery and 5 papers in Molecular Biology. Recurrent topics in Kurt T. Patton's work include T-cell and B-cell Immunology (3 papers), Renal and related cancers (3 papers) and Pancreatitis Pathology and Treatment (2 papers). Kurt T. Patton is often cited by papers focused on T-cell and B-cell Immunology (3 papers), Renal and related cancers (3 papers) and Pancreatitis Pathology and Treatment (2 papers). Kurt T. Patton collaborates with scholars based in United States, Austria and Australia. Kurt T. Patton's co-authors include Steven A. Porcelli, Steven P. Balk, Mark A. Exley, Jack L. Strominger, Desmond Schatz, Mark A. Atkinson, Tihamer Orban, D Hafler, S. Brian Wilson and Sally C. Kent and has published in prestigious journals such as Nature, The Journal of Immunology and Cancer Research.

In The Last Decade

Kurt T. Patton

22 papers receiving 1.6k citations

Hit Papers

Extreme Th1 bias of invar... 1998 2026 2007 2016 1998 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Kurt T. Patton 811 335 308 297 275 22 1.6k
Carla Guarnotta 1.2k 1.4× 231 0.7× 467 1.5× 91 0.3× 310 1.1× 43 1.9k
G.J. Fleuren 501 0.6× 123 0.4× 323 1.0× 337 1.1× 286 1.0× 37 1.6k
Michael P. Skinner 356 0.4× 216 0.6× 578 1.9× 247 0.8× 164 0.6× 20 1.8k
Jonathan H. Esensten 1.4k 1.7× 97 0.3× 433 1.4× 156 0.5× 664 2.4× 21 2.2k
Francisco J. Blanco 356 0.4× 543 1.6× 947 3.1× 217 0.7× 226 0.8× 30 2.0k
Louis-Martin Boucher 833 1.0× 139 0.4× 468 1.5× 165 0.6× 216 0.8× 30 1.6k
Ping Yang 329 0.4× 387 1.2× 229 0.7× 285 1.0× 1.1k 4.1× 27 1.6k
James L. Reading 541 0.7× 270 0.8× 387 1.3× 250 0.8× 694 2.5× 29 1.4k
Stefania Canè 754 0.9× 195 0.6× 615 2.0× 81 0.3× 691 2.5× 39 1.9k
V A Memoli 294 0.4× 245 0.7× 740 2.4× 184 0.6× 730 2.7× 31 2.0k

Countries citing papers authored by Kurt T. Patton

Since Specialization
Citations

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

Fields of papers citing papers by Kurt T. Patton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kurt T. Patton

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