William F. Sutton

36 total papers · 1.4k total citations
22 papers, 829 citations indexed

About

William F. Sutton is a scholar working on Virology, Immunology and Epidemiology. According to data from OpenAlex, William F. Sutton has authored 22 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Virology, 12 papers in Immunology and 8 papers in Epidemiology. Recurrent topics in William F. Sutton's work include HIV Research and Treatment (17 papers), Immune Cell Function and Interaction (9 papers) and T-cell and B-cell Immunology (4 papers). William F. Sutton is often cited by papers focused on HIV Research and Treatment (17 papers), Immune Cell Function and Interaction (9 papers) and T-cell and B-cell Immunology (4 papers). William F. Sutton collaborates with scholars based in United States, Italy and Kenya. William F. Sutton's co-authors include Nancy L. Haigwood, Barbra A. Richardson, Shelly J. Krebs, Vanessa M. Hirsch, Gérald Voss, Shiu-Lok Hu, Andrew J. Watson, Norman L. Letvin, Harvinder Singh Gill and Philip R. Johnson and has published in prestigious journals such as Nature Medicine, Nature Communications and The Journal of Immunology.

In The Last Decade

William F. Sutton

22 papers receiving 818 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 F. Sutton 466 423 236 224 162 22 829
James E. Cummins 467 1.0× 202 0.5× 229 1.0× 333 1.5× 80 0.5× 22 805
Danushka K. Wijesundara 119 0.3× 342 0.8× 249 1.1× 184 0.8× 195 1.2× 39 735
Jessica Kenney 282 0.6× 237 0.6× 170 0.7× 272 1.2× 122 0.8× 23 802
Linda Fritts 457 1.0× 422 1.0× 357 1.5× 322 1.4× 116 0.7× 33 952
Bartek Zuber 247 0.5× 382 0.9× 129 0.5× 193 0.9× 176 1.1× 29 739
Meropi Aravantinou 390 0.8× 168 0.4× 198 0.8× 316 1.4× 79 0.5× 26 716
Erik Rollman 530 1.1× 522 1.2× 219 0.9× 204 0.9× 216 1.3× 31 823
Ling Wu 268 0.6× 432 1.0× 192 0.8× 235 1.0× 237 1.5× 21 874
Claudia Devito 631 1.4× 458 1.1× 254 1.1× 271 1.2× 129 0.8× 19 817
Véronique Bachy 116 0.2× 288 0.7× 124 0.5× 200 0.9× 233 1.4× 27 701

Countries citing papers authored by William F. Sutton

Since Specialization
Citations

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

Fields of papers citing papers by William F. Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William F. Sutton

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