Kevin W. Williams
- Endocrine and Autonomic Systems top 0.05%
- Physiology top 0.5%
- Nutrition and Dietetics top 0.2%
- Molecular Biology top 5%
- Epidemiology top 5%
- Co-authors
- Joel K. ElmquistCharlotte E. LeeJong‐Woo SohnMichael M. ScottBradford B. LowellJeffrey M. ZigmanYong XuSyann Lee
- Topics
- Regulation of Appetite and Obesity (60 papers)Biochemical Analysis and Sensing Techniques (39 papers)Adipose Tissue and Metabolism (22 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Kevin W. Williams
102 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Endocrine and Autonomic Systems 3.8k
- Physiology 2.3k
- Nutrition and Dietetics 1.7k
- Molecular Biology 1.3k
- Epidemiology 967
Countries citing papers authored by Kevin W. Williams
This map shows the geographic impact of Kevin W. 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 Kevin W. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin W. Williams more than expected).
Fields of papers citing papers by Kevin W. Williams
This network shows the impact of papers produced by Kevin W. 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 Kevin W. Williams. The network helps show where Kevin W. Williams may publish in the future.
Co-authorship network of co-authors of Kevin W. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin W. Williams. A scholar is included among the top collaborators of Kevin W. 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 Kevin W. Williams. Kevin W. 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 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 12 | |
| 5 | 115 | |
| 6 | 31 | |
| 7 | 35 | |
| 8 | 86 | |
| 9 | 68 | |
| 10 | 75 | |
| 11 | 38 | |
| 12 | 104 | |
| 13 | 168 | |
| 14 | 175 | |
| 15 | 319 | |
| 16 | 61 | |
| 17 | 49 | |
| 18 | 287 | |
| 19 | 61 | |
| 20 | A Summary of Unmanned Aircraft Accident/Incident Data: Human Factors Implications | 129 |
About Kevin W. Williams
Kevin W. Williams is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics and Social Psychology, having authored 108 papers that have together received 6.8k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (60 papers), Biochemical Analysis and Sensing Techniques (39 papers) and Adipose Tissue and Metabolism (22 papers). The work is most often cited by research in Endocrine and Autonomic Systems (3.8k citations), Nutrition and Dietetics (1.7k citations) and Physiology (2.3k citations). Kevin W. Williams has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Joel K. Elmquist, Charlotte E. Lee, Jong‐Woo Sohn, Michael M. Scott, Bradford B. Lowell, Jeffrey M. Zigman, Yong Xu, Syann Lee, Carol F. Elias and Bret N. Smith. Their work appears in journals such as Nature, Cell and Journal of the American Chemical Society.
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.