William D. Perkins

21 total papers · 871 total citations
16 papers, 720 citations indexed

About

William D. Perkins is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, William D. Perkins has authored 16 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in William D. Perkins's work include Immune Response and Inflammation (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Lipid Membrane Structure and Behavior (2 papers). William D. Perkins is often cited by papers focused on Immune Response and Inflammation (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Lipid Membrane Structure and Behavior (2 papers). William D. Perkins collaborates with scholars based in United States and United Kingdom. William D. Perkins's co-authors include Morris J. Karnovsky, Emil R. Unanue, Bruce Glick, Hans D. Ochs, Dennis E. Van Epps, Bernard Babior, Thomas H. Price, Seymour J. Klebanoff, Leonard C. Altman and Ralph Wedgwood and has published in prestigious journals such as Science, The Journal of Experimental Medicine and The Journal of Cell Biology.

In The Last Decade

William D. Perkins

16 papers receiving 623 citations

Author Peers

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

Author Last Decade Papers Cites
William D. Perkins 336 325 122 108 77 16 720
Moo-Kyung Kim 401 1.2× 320 1.0× 214 1.8× 102 0.9× 113 1.5× 19 741
T J Fleming 535 1.6× 262 0.8× 86 0.7× 81 0.8× 69 0.9× 10 863
V. Santer 264 0.8× 251 0.8× 147 1.2× 54 0.5× 46 0.6× 11 683
T. Scott Manetz 479 1.4× 287 0.9× 99 0.8× 122 1.1× 138 1.8× 15 820
Mohey Eldin El Shikh 528 1.6× 176 0.5× 88 0.7× 93 0.9× 60 0.8× 25 813
E. Wolff‐Schreiner 449 1.3× 169 0.5× 90 0.7× 98 0.9× 75 1.0× 12 853
Ries J. Langley 369 1.1× 385 1.2× 105 0.9× 63 0.6× 31 0.4× 27 906
Clara Brando 299 0.9× 299 0.9× 71 0.6× 63 0.6× 26 0.3× 17 625
R. Wendy Loveless 267 0.8× 501 1.5× 114 0.9× 46 0.4× 34 0.4× 13 733
Olga Padilla 405 1.2× 197 0.6× 51 0.4× 79 0.7× 60 0.8× 20 700

Countries citing papers authored by William D. Perkins

Since Specialization
Citations

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

Fields of papers citing papers by William D. Perkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William D. Perkins. 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 William D. Perkins. The network helps show where William D. Perkins may publish in the future.

Co-authorship network of co-authors of William D. Perkins

This figure shows the co-authorship network connecting the top 25 collaborators of William D. Perkins. A scholar is included among the top collaborators of William D. Perkins 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 William D. Perkins. William D. Perkins 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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