Paul T. Williams
- Physiology top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Public Health, Environmental and Occupational Health top 0.5%
- Surgery top 2%
- Cardiology and Cardiovascular Medicine top 1%
- Co-authors
- Ronald M. KraussWilliam L. HaskellPeter D. WoodH. Robert SuperkoKaren VranizanDarlene M. DreonJohn J. AlbersSally Chiu
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (40 papers)Obesity, Physical Activity, Diet (34 papers)Physical Activity and Health (30 papers)
- Partner nations
- United StatesSingaporeUnited Kingdom
In The Last Decade
Paul T. Williams
107 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Physiology 2.6k
- Endocrinology, Diabetes and Metabolism 2.0k
- Public Health, Environmental and Occupational Health 1.8k
- Surgery 1.4k
- Cardiology and Cardiovascular Medicine 1.3k
Countries citing papers authored by Paul T. Williams
This map shows the geographic impact of Paul 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 Paul 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 Paul T. Williams more than expected).
Fields of papers citing papers by Paul T. Williams
This network shows the impact of papers produced by Paul 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 Paul T. Williams. The network helps show where Paul T. Williams may publish in the future.
Co-authorship network of co-authors of Paul T. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Paul T. Williams. A scholar is included among the top collaborators of Paul 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 Paul T. Williams. Paul 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 | 10 | |
| 2 | 15 | |
| 3 | 8 | |
| 4 | 281 | |
| 5 | 11 | |
| 6 | 30 | |
| 7 | 109 | |
| 8 | 25 | |
| 9 | 31 | |
| 10 | 30 | |
| 11 | 51 | |
| 12 | 233 | |
| 13 | 35 | |
| 14 | 48 | |
| 15 | 109 | |
| 16 | 11 | |
| 17 | 48 | |
| 18 | 8 | |
| 19 | 14 | |
| 20 | 71 |
About Paul T. Williams
Paul T. Williams is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Public Health, Environmental and Occupational Health, having authored 107 papers that have together received 6.3k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (40 papers), Obesity, Physical Activity, Diet (34 papers) and Physical Activity and Health (30 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.0k citations), Physiology (2.6k citations) and Complementary and alternative medicine (778 citations). Paul T. Williams has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Ronald M. Krauss, William L. Haskell, Peter D. Wood, H. Robert Superko, Karen Vranizan, Darlene M. Dreon, John J. Albers, Sally Chiu, Paul D. Thompson and Marcia L. Stefanick. Their work appears in journals such as New England Journal of Medicine, JAMA and Circulation.
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.