Walter M. Kirkendall
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Pulmonary and Respiratory Medicine top 10%
- Physiology top 10%
- Co-authors
- Edward D. FreisAlan C. BurtonFrederick H. EpsteinJeremy HammondMerrill OverturfAnnette FitzJay H. SteinJonathan K. Wilkin
- Topics
- Blood Pressure and Hypertension Studies (20 papers)Hormonal Regulation and Hypertension (11 papers)Renin-Angiotensin System Studies (8 papers)
- Partner nations
- United StatesAustraliaDemocratic Republic of the Congo
In The Last Decade
Walter M. Kirkendall
74 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Cardiology and Cardiovascular Medicine 886
- Surgery 376
- Endocrinology, Diabetes and Metabolism 371
- Pulmonary and Respiratory Medicine 275
- Physiology 236
Countries citing papers authored by Walter M. Kirkendall
This map shows the geographic impact of Walter M. Kirkendall'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 Walter M. Kirkendall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walter M. Kirkendall more than expected).
Fields of papers citing papers by Walter M. Kirkendall
This network shows the impact of papers produced by Walter M. Kirkendall. 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 Walter M. Kirkendall. The network helps show where Walter M. Kirkendall may publish in the future.
Co-authorship network of co-authors of Walter M. Kirkendall
This figure shows the co-authorship network connecting the top 25 collaborators of Walter M. Kirkendall. A scholar is included among the top collaborators of Walter M. Kirkendall 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 Walter M. Kirkendall. Walter M. Kirkendall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 17 | |
| 4 | 9 | |
| 5 | 8 | |
| 6 | 7 | |
| 7 | 5 | |
| 8 | 8 | |
| 9 | 18 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 41 | |
| 13 | 5 | |
| 14 | 21 | |
| 15 | 24 | |
| 16 | 1 | |
| 17 | 9 | |
| 18 | 5 | |
| 19 | 3 | |
| 20 | 53 |
About Walter M. Kirkendall
Walter M. Kirkendall is a scholar working on Cardiology and Cardiovascular Medicine, Geriatrics and Gerontology and Nephrology, having authored 76 papers that have together received 2.1k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (20 papers), Hormonal Regulation and Hypertension (11 papers) and Renin-Angiotensin System Studies (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (886 citations), Endocrinology, Diabetes and Metabolism (371 citations) and Nephrology (141 citations). Walter M. Kirkendall has collaborated with scholars based in United States, Australia and Democratic Republic of the Congo. Frequent co-authors include Edward D. Freis, Alan C. Burton, Frederick H. Epstein, Jeremy Hammond, Merrill Overturf, Annette Fitz, Jay H. Stein, Jonathan K. Wilkin, Manning Feinleib and William R. Wilson. Their work appears in journals such as New England Journal of Medicine, JAMA 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.