John T. Williams
- Molecular Biology
- Infectious Diseases top 10%
- Epidemiology
- Oncology
- Public Health, Environmental and Occupational Health
- Co-authors
- Robert B. AbramovitchMartin Hauer‐JensenSøren M. BentzenJames W. DenhamLawrence B. MarksMitchell S. AnscherWolfgang DörrHuiqing Zheng
- Topics
- Tuberculosis Research and Epidemiology (9 papers)Mycobacterium research and diagnosis (6 papers)Plant Diversity and Evolution (5 papers)
- Journals
- Nature CommunicationsAnnals of the New York Academy of SciencesAntimicrobial Agents and Chemotherapy
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
John T. Williams
21 papers receiving 536 citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 173
- Infectious Diseases 130
- Epidemiology 112
- Oncology 66
- Public Health, Environmental and Occupational Health 60
Countries citing papers authored by John T. Williams
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 12 | |
| 4 | 12 | |
| 5 | 5 | |
| 6 | 44 | |
| 7 | 40 | |
| 8 | 50 | |
| 9 | 31 | |
| 10 | 56 | |
| 11 | 62 | |
| 12 | 48 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 110 | |
| 16 | 14 | |
| 17 | 39 | |
| 18 | 3 | |
| 19 | 3 | |
| 20 | 2 |
About John T. Williams
John T. Williams is a scholar working on Infectious Diseases, Molecular Medicine and Ecology, Evolution, Behavior and Systematics, having authored 22 papers that have together received 548 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (9 papers), Mycobacterium research and diagnosis (6 papers) and Plant Diversity and Evolution (5 papers). The work is most often cited by research in Infectious Diseases (130 citations), Otorhinolaryngology (24 citations) and Radiation (33 citations). John T. Williams has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Robert B. Abramovitch, Martin Hauer‐Jensen, Søren M. Bentzen, James W. Denham, Lawrence B. Marks, Mitchell S. Anscher, Wolfgang Dörr, Huiqing Zheng, Edmund L. Ellsworth and Karen Guice. Their work appears in journals such as Nature Communications, Annals of the New York Academy of Sciences and Antimicrobial Agents and Chemotherapy.
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.