James T. Williams

67 total papers · 1.2k total citations
46 papers, 966 citations indexed

About

James T. Williams is a scholar working on Small Animals, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, James T. Williams has authored 46 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Small Animals, 12 papers in Molecular Biology and 9 papers in Animal Science and Zoology. Recurrent topics in James T. Williams's work include Helminth infection and control (8 papers), Coccidia and coccidiosis research (5 papers) and Reproductive Physiology in Livestock (5 papers). James T. Williams is often cited by papers focused on Helminth infection and control (8 papers), Coccidia and coccidiosis research (5 papers) and Reproductive Physiology in Livestock (5 papers). James T. Williams collaborates with scholars based in United Kingdom, United States and Australia. James T. Williams's co-authors include F. Jackson, E. Jackson, William D. Smith, Gaoyuan Cao, Melane Fehrenbach, Jeffrey Finklestein, Richard J. Payne, Leo Corcilius, Irving Redler and Horace M. DeLisser and has published in prestigious journals such as Journal of Clinical Oncology, Blood and American Journal Of Pathology.

In The Last Decade

James T. Williams

45 papers receiving 923 citations

Author Peers

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

Author Last Decade Papers Cites
James T. Williams 357 253 170 167 153 46 966
H.J.S. Dawkins 297 0.8× 184 0.7× 180 1.1× 242 1.4× 144 0.9× 37 884
Jon S. Patterson 165 0.5× 302 1.2× 75 0.4× 251 1.5× 107 0.7× 47 1.1k
Andrew J.G. Simpson 109 0.3× 361 1.4× 166 1.0× 234 1.4× 35 0.2× 26 1.1k
D. Franks 137 0.4× 217 0.9× 119 0.7× 219 1.3× 66 0.4× 48 956
Patricia M. Buckley 132 0.4× 315 1.2× 239 1.4× 248 1.5× 63 0.4× 30 1.1k
Manigandan Lejeune 142 0.4× 135 0.5× 306 1.8× 309 1.9× 33 0.2× 55 1.0k
George D. Cain 176 0.5× 151 0.6× 323 1.9× 317 1.9× 60 0.4× 70 1.2k
Nils Björkman 169 0.5× 144 0.6× 149 0.9× 60 0.4× 76 0.5× 47 858
Ryuichi Uchikawa 298 0.8× 110 0.4× 345 2.0× 445 2.7× 45 0.3× 55 818
Norman D. Reed 182 0.5× 212 0.8× 135 0.8× 212 1.3× 29 0.2× 49 1.2k

Countries citing papers authored by James T. Williams

Since Specialization
Citations

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

Fields of papers citing papers by James T. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James T. Williams

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