John P. Rapp
Impact in
-
- Hormonal Regulation and Hypertension
-
- Renin-Angiotensin System Studies
Papers in
-
- Hormonal Regulation and Hypertension 42
- Hormonal and reproductive studies 14
- Physiology 50
- Adipose Tissue and Metabolism 29
- Nitric Oxide and Endothelin Effects 18
- Co-authors
- Howard DeneAlan Y. DengMichael R. GarrettLewis K. DahlRudolf M. SnajdarRoberto Franco-SaenzPatrick J. MulrowKeiichiro Atarashi
- Journals
- Hypertension (24 papers)Mammalian Genome (23 papers)Endocrinology (14 papers)Journal of Hypertension (13 papers)Physiological Genomics (8 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
John P. Rapp
143 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 114
- Endocrinology, Diabetes and Metabolism 2.0k
- Cardiology and Cardiovascular Medicine 1.9k
- Physiology 1.7k
- Genetics 1.6k
- Behavioral Neuroscience 179
Countries citing papers authored by John P. Rapp
This map shows the geographic impact of John P. Rapp'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 John P. Rapp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John P. Rapp more than expected).
Fields of papers citing papers by John P. Rapp
This network shows the impact of papers produced by John P. Rapp. 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 John P. Rapp. The network helps show where John P. Rapp may publish in the future.
Co-authors
The 25 scholars most cited alongside John P. Rapp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 4 | |
| 2 | 2005 | 39 | |
| 3 | 2001 | 55 | |
| 4 | 2000 | 1 | |
| 5 | 1999 | 21 | |
| 6 | 1998 | 6 | |
| 7 | 1998 | 131 | |
| 8 | 1998 | 5 | |
| 9 | 1998 | 3 | |
| 10 | 1997 | 111 | |
| 11 | 1997 | 72 | |
| 12 | 1997 | 47 | |
| 13 | 1997 | 6 | |
| 14 | 1995 | 5 | |
| 15 | 1995 | 1 | |
| 16 | 1993 | 124 | |
| 17 | 1989 | 12 | |
| 18 | 1989 | 2 | |
| 19 | 1988 | 6 | |
| 20 | 1987 | 6 |
About John P. Rapp
John P. Rapp is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Behavioral Neuroscience, Cardiology and Cardiovascular Medicine and Genetics, having authored 144 papers that have together received 5.4k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (42 papers), Genetic Mapping and Diversity in Plants and Animals (34 papers), Renin-Angiotensin System Studies (34 papers), Adipose Tissue and Metabolism (29 papers), Nitric Oxide and Endothelin Effects (18 papers), Hormonal and reproductive studies (14 papers), Receptor Mechanisms and Signaling (10 papers) and Sodium Intake and Health (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.0k citations), Cardiology and Cardiovascular Medicine (1.9k citations), Physiology (1.7k citations), Genetics (1.6k citations) and Behavioral Neuroscience (179 citations). John P. Rapp has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Howard Dene, Alan Y. Deng, Michael R. Garrett, Lewis K. Dahl, Rudolf M. Snajdar, Roberto Franco-Saenz, Patrick J. Mulrow, Keiichiro Atarashi, George T. Cicila and Richard P. McPartland. Their work appears in journals such as Hypertension, Mammalian Genome, Endocrinology, Journal of Hypertension and Physiological Genomics.
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.