Keith P. Iams

25 total papers · 1.1k total citations
21 papers, 919 citations indexed

About

Keith P. Iams is a scholar working on Parasitology, Molecular Biology and Immunology. According to data from OpenAlex, Keith P. Iams has authored 21 papers receiving a total of 919 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Parasitology, 8 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Keith P. Iams's work include Vector-borne infectious diseases (9 papers), Vector-Borne Animal Diseases (4 papers) and Toxin Mechanisms and Immunotoxins (4 papers). Keith P. Iams is often cited by papers focused on Vector-borne infectious diseases (9 papers), Vector-Borne Animal Diseases (4 papers) and Toxin Mechanisms and Immunotoxins (4 papers). Keith P. Iams collaborates with scholars based in United States, Kenya and Zimbabwe. Keith P. Iams's co-authors include Onesmo K. ole-MoiYoi, Vishvanath Nene, Wendy C. Brown, Cynthia L. Baldwin, A J Musoke, Hans Clevers, Elke Gobright, Christopher J. Howard, Baljinder K. Sohanpal and Sabrina Dunlap and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Keith P. Iams

21 papers receiving 886 citations

Author Peers

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

Author Last Decade Papers Cites
Keith P. Iams 395 363 278 223 148 21 919
Bernardo Chessa 312 0.8× 163 0.4× 224 0.8× 199 0.9× 135 0.9× 27 973
C. Kuyler Doyle 502 1.3× 323 0.9× 354 1.3× 132 0.6× 74 0.5× 12 890
Marie Chaussepied 414 1.0× 557 1.5× 237 0.9× 96 0.4× 116 0.8× 22 1.0k
Jason Mott 664 1.7× 349 1.0× 234 0.8× 153 0.7× 82 0.6× 20 1.2k
Hua Niu 336 0.9× 284 0.8× 227 0.8× 56 0.3× 186 1.3× 38 986
Laura R. Hendrix 515 1.3× 236 0.7× 396 1.4× 111 0.5× 95 0.6× 26 1.1k
Alison Burrells 520 1.3× 149 0.4× 184 0.7× 94 0.4× 283 1.9× 24 862
Herbert A. Thompson 595 1.5× 320 0.9× 96 0.3× 149 0.7× 96 0.6× 43 1.1k
Won‐Jong Jang 654 1.7× 199 0.5× 132 0.5× 219 1.0× 292 2.0× 42 1.1k
Álvaro Toledo 745 1.9× 310 0.9× 120 0.4× 228 1.0× 84 0.6× 36 1.2k

Countries citing papers authored by Keith P. Iams

Since Specialization
Citations

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

Fields of papers citing papers by Keith P. Iams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith P. Iams. 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 Keith P. Iams. The network helps show where Keith P. Iams may publish in the future.

Co-authorship network of co-authors of Keith P. Iams

This figure shows the co-authorship network connecting the top 25 collaborators of Keith P. Iams. A scholar is included among the top collaborators of Keith P. Iams 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 Keith P. Iams. Keith P. Iams 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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