John T. Williams

37 total papers · 1.1k total citations
22 papers, 547 citations indexed

About

John T. Williams is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, John T. Williams has authored 22 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 9 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in John T. Williams's work include Tuberculosis Research and Epidemiology (9 papers), Mycobacterium research and diagnosis (6 papers) and Plant Diversity and Evolution (5 papers). John T. Williams is often cited by papers focused on Tuberculosis Research and Epidemiology (9 papers), Mycobacterium research and diagnosis (6 papers) and Plant Diversity and Evolution (5 papers). John T. Williams collaborates with scholars based in United States, Australia and United Kingdom. John T. Williams's co-authors include Robert B. Abramovitch, Mitchell S. Anscher, Wolfgang Dörr, James W. Denham, Søren M. Bentzen, Lawrence B. Marks, Martin Hauer‐Jensen, Edmund L. Ellsworth, Paul E. Bankey and Karen Guice and has published in prestigious journals such as Nature Communications, Annals of the New York Academy of Sciences and Antimicrobial Agents and Chemotherapy.

In The Last Decade

John T. Williams

21 papers receiving 535 citations

Author Peers

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

Author						Papers	Cites
John T. Williams	172	129	112	66	59	22	547
Jonathan E. Constance	161 0.9×	115 0.9×	99 0.9×	67 1.0×	74 1.3×	35	570
Alan Richter	270 1.6×	71 0.6×	44 0.4×	42 0.6×	34 0.6×	21	578
Albert L. Ruff	220 1.3×	119 0.9×	85 0.8×	39 0.6×	56 0.9×	17	613
Baihai Jiao	205 1.2×	153 1.2×	108 1.0×	45 0.7×	29 0.5×	27	619
Ian Toma	274 1.6×	56 0.4×	113 1.0×	57 0.9×	21 0.4×	24	607
Honglin Jiang	102 0.6×	52 0.4×	54 0.5×	121 1.8×	41 0.7×	38	491
Alicia Caro‐Vadillo	135 0.8×	99 0.8×	70 0.6×	31 0.5×	29 0.5×	36	580
Michael Stockelman	243 1.4×	65 0.5×	68 0.6×	31 0.5×	33 0.6×	17	554
Xiaomin Wu	122 0.7×	61 0.5×	74 0.7×	50 0.8×	67 1.1×	44	489
Tomoko Shima	133 0.8×	147 1.1×	40 0.4×	29 0.4×	112 1.9×	33	539

Countries citing papers authored by John T. Williams

Since Specialization

Citations

This map shows the geographic impact of John 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 John 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 John T. Williams more than expected).

Fields of papers citing papers by John T. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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