William D. Kaehny
- Plant Science top 2%
- Genetics top 1%
- Nutrition and Dietetics top 1%
- Surgery top 5%
- Nephrology top 0.5%
- Co-authors
- Allen C. AlfreyPatricia A. GabowStephen P. KelleherMargaret JohnsonIrene T. DuleyRobert W. SchrierDennis C. LezotteWilliam J. Kimberling
- Topics
- Genetic and Kidney Cyst Diseases (11 papers)Renal function and acid-base balance (5 papers)Renal cell carcinoma treatment (4 papers)
- Partner nations
- United States
In The Last Decade
William D. Kaehny
27 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Plant Science 1.3k
- Genetics 1.2k
- Nutrition and Dietetics 879
- Surgery 853
- Nephrology 735
Countries citing papers authored by William D. Kaehny
This map shows the geographic impact of William D. Kaehny'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 D. Kaehny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William D. Kaehny more than expected).
Fields of papers citing papers by William D. Kaehny
This network shows the impact of papers produced by William D. Kaehny. 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 D. Kaehny. The network helps show where William D. Kaehny may publish in the future.
Co-authorship network of co-authors of William D. Kaehny
This figure shows the co-authorship network connecting the top 25 collaborators of William D. Kaehny. A scholar is included among the top collaborators of William D. Kaehny 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 D. Kaehny. William D. Kaehny is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 48 | |
| 2 | 1 | |
| 3 | 50 | |
| 4 | 48 | |
| 5 | 13 | |
| 6 | 225 | |
| 7 | 392 | |
| 8 | Extrarenal manifestations of autosomal dominant polycystic kidney disease. | 24 |
| 9 | polycystic kidney disease | 11 |
| 10 | 21 | |
| 11 | 203 | |
| 12 | 171 | |
| 13 | 3 | |
| 14 | 99 | |
| 15 | 4 | |
| 16 | 36 | |
| 17 | The Spectrum of Rhabdomyolysisbreakdown → | 747 |
| 18 | 41 | |
| 19 | Acute nephritis and pulmonary alveolitis following pneumococcal pneumonia. | 22 |
| 20 | The Dialysis Encephalopathy Syndromebreakdown → | 1204 |
About William D. Kaehny
William D. Kaehny is a scholar working on Nephrology, Family Practice and Genetics, having authored 27 papers that have together received 4.0k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (11 papers), Renal function and acid-base balance (5 papers) and Renal cell carcinoma treatment (4 papers). The work is most often cited by research in Nephrology (735 citations), Complementary and Manual Therapy (144 citations) and Nutrition and Dietetics (879 citations). William D. Kaehny has collaborated with scholars based in United States. Frequent co-authors include Allen C. Alfrey, Patricia A. Gabow, Stephen P. Kelleher, Margaret Johnson, Irene T. Duley, Robert W. Schrier, Dennis C. Lezotte, William J. Kimberling, Richard H. Jones and M L Manco-Johnson. Their work appears in journals such as New England Journal of Medicine, Annals of Internal Medicine and Hepatology.
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.