William C. Kuzell
- Rheumatology top 10%
- Nephrology top 5%
- Molecular Biology
- Pharmacology
- Surgery
- Co-authors
- Willscott E. NauglerBeverly BrownKarl FolkersGian Paolo LittarruRyô NakamuraHerbert S. DiamondA LussierKosuke Takemura
- Topics
- Gout, Hyperuricemia, Uric Acid (6 papers)Coenzyme Q10 studies and effects (3 papers)Rheumatoid Arthritis Research and Therapies (3 papers)
- Cited by
- NephrologyRheumatologyAnatomy
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
William C. Kuzell
22 papers receiving 339 citations
Peers
Comparison fields: 5 of 87
- Rheumatology 143
- Nephrology 109
- Molecular Biology 97
- Pharmacology 74
- Surgery 61
Countries citing papers authored by William C. Kuzell
This map shows the geographic impact of William C. Kuzell'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 William C. Kuzell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William C. Kuzell more than expected).
Fields of papers citing papers by William C. Kuzell
This network shows the impact of papers produced by William C. Kuzell. 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 William C. Kuzell. The network helps show where William C. Kuzell may publish in the future.
Co-authorship network of co-authors of William C. Kuzell
This figure shows the co-authorship network connecting the top 25 collaborators of William C. Kuzell. A scholar is included among the top collaborators of William C. Kuzell 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 William C. Kuzell. William C. Kuzell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | Increase in levels of immuno globulin g in serum of patients treated with coenzyme q 10 | 1 |
| 3 | 3 | |
| 4 | 16 | |
| 5 | 35 | |
| 6 | Pyrazolidines in the treatment of gout. | 0 |
| 7 | 8 | |
| 8 | 14 | |
| 9 | 2 | |
| 10 | Prothrombin time. Determination by a whole blood micro-method for control of anticoagulant therapy. | 4 |
| 11 | 18 | |
| 12 | 2 | |
| 13 | 8 | |
| 14 | 74 | |
| 15 | 15 | |
| 16 | 24 | |
| 17 | 44 | |
| 18 | The effect of phenylbutazone (Butazolidin) and cortisone acetate on gold toxicity. | 1 |
| 19 | 1 | |
| 20 | 6 |
About William C. Kuzell
William C. Kuzell is a scholar working on Nephrology, Rheumatology and Developmental Neuroscience, having authored 24 papers that have together received 476 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (6 papers), Coenzyme Q10 studies and effects (3 papers) and Rheumatoid Arthritis Research and Therapies (3 papers). The work is most often cited by research in Nephrology (109 citations), Rheumatology (143 citations) and Anatomy (8 citations). William C. Kuzell has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Willscott E. Naugler, Beverly Brown, Karl Folkers, Gian Paolo Littarru, Ryô Nakamura, Herbert S. Diamond, A Lussier, Kosuke Takemura, Satoshi Shizukuishi and Józef Drzewoski. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA.
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.