Kenneth M. Williams
- Molecular Biology top 10%
- Surgery top 5%
- Nephrology top 1%
- Endocrinology, Diabetes and Metabolism top 2%
- Rheumatology top 5%
- Co-authors
- Richard O. DayGarry G. GrahamJanna K. DuongJerry R. GreenfieldTimothy J. FurlongJohn E. RayCarl M. J. KirkpatrickMatthew Doogue
- Topics
- Gout, Hyperuricemia, Uric Acid (9 papers)Liver Disease Diagnosis and Treatment (3 papers)Urticaria and Related Conditions (3 papers)
- Journals
- American Journal of Respiratory and Critical Care MedicineAnnals of the Rheumatic DiseasesJournal of Antimicrobial Chemotherapy
- Partner nations
- AustraliaUnited StatesSouth Korea
In The Last Decade
Kenneth M. Williams
24 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 766
- Surgery 556
- Nephrology 511
- Endocrinology, Diabetes and Metabolism 480
- Rheumatology 283
Countries citing papers authored by Kenneth M. Williams
This map shows the geographic impact of Kenneth M. 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 Kenneth M. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth M. Williams more than expected).
Fields of papers citing papers by Kenneth M. Williams
This network shows the impact of papers produced by Kenneth M. 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 Kenneth M. Williams. The network helps show where Kenneth M. Williams may publish in the future.
Co-authorship network of co-authors of Kenneth M. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth M. Williams. A scholar is included among the top collaborators of Kenneth M. 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 Kenneth M. Williams. Kenneth M. 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 | 19 | |
| 2 | 27 | |
| 3 | 41 | |
| 4 | 49 | |
| 5 | 52 | |
| 6 | 32 | |
| 7 | 65 | |
| 8 | 144 | |
| 9 | 30 | |
| 10 | Clinical Pharmacokinetics of Metforminbreakdown → | 979 |
| 11 | 27 | |
| 12 | 13 | |
| 13 | 12 | |
| 14 | 26 | |
| 15 | 235 | |
| 16 | 38 | |
| 17 | 57 | |
| 18 | 31 | |
| 19 | 60 | |
| 20 | 5 |
About Kenneth M. Williams
Kenneth M. Williams is a scholar working on Nephrology, Pharmacology and Pharmacology, having authored 24 papers that have together received 2.0k indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (9 papers), Liver Disease Diagnosis and Treatment (3 papers) and Urticaria and Related Conditions (3 papers). The work is most often cited by research in Nephrology (511 citations), Endocrinology, Diabetes and Metabolism (480 citations) and Pharmacology (170 citations). Kenneth M. Williams has collaborated with scholars based in Australia, United States and South Korea. Frequent co-authors include Richard O. Day, Garry G. Graham, Janna K. Duong, Jerry R. Greenfield, Timothy J. Furlong, John E. Ray, Carl M. J. Kirkpatrick, Matthew Doogue, Manit Arora and Peter Timmins. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Annals of the Rheumatic Diseases and Journal of Antimicrobial 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.