Bernard C. Wexler
- Physiology top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Pathology and Forensic Medicine top 5%
- Co-authors
- O. H. RobertsonJohn P. McMurtryGeorge W. KittingerS. G. IamsBruce P. GreenbergBenjamin F. MillerJ T JuddJoseph T. Judd
- Topics
- Hormonal Regulation and Hypertension (38 papers)Adipose Tissue and Metabolism (33 papers)Cardiac Ischemia and Reperfusion (18 papers)
- Journals
- NatureScienceCirculation Research
- Partner nations
- United States
In The Last Decade
Bernard C. Wexler
168 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 122
- Physiology 805
- Endocrinology, Diabetes and Metabolism 726
- Molecular Biology 639
- Cardiology and Cardiovascular Medicine 560
- Pathology and Forensic Medicine 409
Countries citing papers authored by Bernard C. Wexler
This map shows the geographic impact of Bernard C. Wexler'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 Bernard C. Wexler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernard C. Wexler more than expected).
Fields of papers citing papers by Bernard C. Wexler
This network shows the impact of papers produced by Bernard C. Wexler. 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 Bernard C. Wexler. The network helps show where Bernard C. Wexler may publish in the future.
Co-authorship network of co-authors of Bernard C. Wexler
This figure shows the co-authorship network connecting the top 25 collaborators of Bernard C. Wexler. A scholar is included among the top collaborators of Bernard C. Wexler 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 Bernard C. Wexler. Bernard C. Wexler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | Pathophysiological differences between obese and non-obese spontaneously hypertensive rats. | 20 |
| 3 | 3 | |
| 4 | 22 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 22 | |
| 9 | 6 | |
| 10 | 19 | |
| 11 | 29 | |
| 12 | 22 | |
| 13 | 12 | |
| 14 | 10 | |
| 15 | 10 | |
| 16 | 54 | |
| 17 | 113 | |
| 18 | 63 | |
| 19 | 38 | |
| 20 | 2 |
About Bernard C. Wexler
Bernard C. Wexler is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Physiology, having authored 172 papers that have together received 3.4k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (38 papers), Adipose Tissue and Metabolism (33 papers) and Cardiac Ischemia and Reperfusion (18 papers). The work is most often cited by research in Behavioral Neuroscience (270 citations), Physiology (292 citations) and Aquatic Science (377 citations). Bernard C. Wexler has collaborated with scholars based in United States. Frequent co-authors include O. H. Robertson, John P. McMurtry, George W. Kittinger, S. G. Iams, Bruce P. Greenberg, Benjamin F. Miller, J T Judd, Joseph T. Judd, Jack Saroff and Satoshi Hane. Their work appears in journals such as Nature, Science and Circulation Research.
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.