William F. Keane
- Nephrology top 0.01%
- Cardiology and Cardiovascular Medicine top 0.2%
- Endocrinology, Diabetes and Metabolism top 0.1%
- Surgery top 1%
- Molecular Biology top 5%
- Co-authors
- Shahnaz ShahinfarBarry M. BrennerDick de ZeeuwWilliam E. MitchHans‐Henrik ParvingMark E. CooperGiuseppe RemuzziSteven Snapinn
- Topics
- Chronic Kidney Disease and Diabetes (53 papers)Blood Pressure and Hypertension Studies (31 papers)Dialysis and Renal Disease Management (26 papers)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
William F. Keane
184 papers receiving 16.9k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Nephrology 8.1k
- Cardiology and Cardiovascular Medicine 6.3k
- Endocrinology, Diabetes and Metabolism 5.1k
- Surgery 2.5k
- Molecular Biology 2.0k
Countries citing papers authored by William F. Keane
This map shows the geographic impact of William F. Keane'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 F. Keane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William F. Keane more than expected).
Fields of papers citing papers by William F. Keane
This network shows the impact of papers produced by William F. Keane. 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 F. Keane. The network helps show where William F. Keane may publish in the future.
Co-authorship network of co-authors of William F. Keane
This figure shows the co-authorship network connecting the top 25 collaborators of William F. Keane. A scholar is included among the top collaborators of William F. Keane 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 F. Keane. William F. Keane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 79 | |
| 2 | 23 | |
| 3 | 32 | |
| 4 | 172 | |
| 5 | 8 | |
| 6 | 114 | |
| 7 | 120 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | Progression of renal disease : clinical patterns, therapeutic options, and lessons from clinical trials | 2 |
| 11 | 1 | |
| 12 | 137 | |
| 13 | Chronic renal allograft failure | 1 |
| 14 | 27 | |
| 15 | 167 | |
| 16 | 159 | |
| 17 | 5 | |
| 18 | 64 | |
| 19 | 23 | |
| 20 | 14 |
About William F. Keane
William F. Keane is a scholar working on Nephrology, Clinical Biochemistry and Transplantation, having authored 186 papers that have together received 17.8k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (53 papers), Blood Pressure and Hypertension Studies (31 papers) and Dialysis and Renal Disease Management (26 papers). The work is most often cited by research in Nephrology (8.1k citations), Endocrinology, Diabetes and Metabolism (5.1k citations) and Cardiology and Cardiovascular Medicine (6.3k citations). William F. Keane has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Shahnaz Shahinfar, Barry M. Brenner, Dick de Zeeuw, William E. Mitch, Hans‐Henrik Parving, Mark E. Cooper, Giuseppe Remuzzi, Steven Snapinn, Leopoldo Raij and Michael P. O’Donnell. Their work appears in journals such as New England Journal of Medicine, The Lancet 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.