R Williams

25 total papers · 689 total citations
17 papers, 547 citations indexed

About

R Williams is a scholar working on Epidemiology, Immunology and Genetics. According to data from OpenAlex, R Williams has authored 17 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 5 papers in Immunology and 4 papers in Genetics. Recurrent topics in R Williams's work include Liver Disease Diagnosis and Treatment (4 papers), T-cell and B-cell Immunology (4 papers) and Diabetes and associated disorders (3 papers). R Williams is often cited by papers focused on Liver Disease Diagnosis and Treatment (4 papers), T-cell and B-cell Immunology (4 papers) and Diabetes and associated disorders (3 papers). R Williams collaborates with scholars based in United States, United Kingdom and Greece. R Williams's co-authors include Gunnar Husby, Arthur D. Bankhurst, R. G. Strickland, Wilmer L. Sibbitt, Joseph L. Caldwell, Kenneth S. K. Tung, Charles B. Reimer, M Yateman, A P Weetman and P. A. Ealey and has published in prestigious journals such as Journal of Clinical Investigation, Gut and The American Journal of Medicine.

In The Last Decade

R Williams

17 papers receiving 465 citations

Author Peers

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

Author Last Decade Papers Cites
R Williams 193 114 98 87 83 17 547
Ricardo Pineda-Tamayo 215 1.1× 54 0.5× 74 0.8× 156 1.8× 75 0.9× 25 610
James D. Northway 174 0.9× 83 0.7× 116 1.2× 25 0.3× 154 1.9× 19 597
Perry O. Teague 252 1.3× 29 0.3× 132 1.3× 91 1.0× 79 1.0× 20 614
R L Wolfert 170 0.9× 120 1.1× 85 0.9× 30 0.3× 80 1.0× 14 577
Ralph C. McCoy 84 0.4× 25 0.2× 55 0.6× 57 0.7× 91 1.1× 14 544
G. Beaurain 213 1.1× 94 0.8× 32 0.3× 61 0.7× 25 0.3× 14 558
Xiaohui Wei 243 1.3× 78 0.7× 108 1.1× 102 1.2× 29 0.3× 13 508
Roger Gooding 193 1.0× 93 0.8× 27 0.3× 31 0.4× 30 0.4× 17 587
Raquel Lorenzetti 184 1.0× 35 0.3× 34 0.3× 50 0.6× 33 0.4× 20 478
Akira Hoshioka 164 0.8× 54 0.5× 50 0.5× 99 1.1× 40 0.5× 28 573

Countries citing papers authored by R Williams

Since Specialization
Citations

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

Fields of papers citing papers by R Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R Williams

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