Kenneth M. Williams
- Pharmacology top 1%
- Pharmacology top 0.2%
- Molecular Biology
- Nephrology top 2%
- Spectroscopy top 5%
- Co-authors
- Richard O. DayAndrew J. McLachlanEdmund LeeGarry G. GrahamNeal M. DaviesWinston LiauwSophie L. StockerBasil D. Roufogalis
- Topics
- Gout, Hyperuricemia, Uric Acid (14 papers)Pharmacogenetics and Drug Metabolism (11 papers)Inflammatory mediators and NSAID effects (9 papers)
- Cited by
- PharmacologyNephrology
- Partner nations
- AustraliaUnited StatesSouth Korea
In The Last Decade
Kenneth M. Williams
72 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 133
- Pharmacology 818
- Pharmacology 725
- Molecular Biology 491
- Nephrology 345
- Spectroscopy 304
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 | 0 | |
| 2 | 18 | |
| 3 | 8 | |
| 4 | 14 | |
| 5 | 3 | |
| 6 | Characterization of Natural Attenuation in a uranium-contaminated site by means of Induced Polarization Imaging | 1 |
| 7 | 25 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 69 | |
| 11 | 168 | |
| 12 | 148 | |
| 13 | 193 | |
| 14 | 26 | |
| 15 | 344 | |
| 16 | 7 | |
| 17 | 12 | |
| 18 | 10 | |
| 19 | 12 | |
| 20 | QUEEN ELIZABETH WAY FREEWAY SURVEILLANCE AND CONTROL SYSTEM DEMONSTATION PROJECT | 1 |
About Kenneth M. Williams
Kenneth M. Williams is a scholar working on Pharmacology, Nephrology and Pharmacology, having authored 73 papers that have together received 2.6k indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (14 papers), Pharmacogenetics and Drug Metabolism (11 papers) and Inflammatory mediators and NSAID effects (9 papers). The work is most often cited by research in Pharmacology (725 citations), Nephrology (345 citations) and Pharmacology (818 citations). Kenneth M. Williams has collaborated with scholars based in Australia, United States and South Korea. Frequent co-authors include Richard O. Day, Andrew J. McLachlan, Edmund Lee, Garry G. Graham, Neal M. Davies, Winston Liauw, Sophie L. Stocker, Basil D. Roufogalis, Terence J. Campbell and Xuemin Jiang. Their work appears in journals such as Analytical Chemistry, Clinical Infectious Diseases and British Journal of Pharmacology.
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.