Howard Dene
Impact in
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- Hormonal Regulation and Hypertension
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- Renin-Angiotensin System Studies
Papers in
- Physiology 17
- Adipose Tissue and Metabolism 11
- Erythrocyte Function and Pathophysiology 4
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- Renin-Angiotensin System Studies 14
- Co-authors
- John P. Rapp (34 shared papers)Alan Y. Deng (8 shared papers)Morris F. Goodman (9 shared papers)Michael R. Garrett (12 shared papers)William Prychodko (6 shared papers)Alejo E. Romero-Herrera (8 shared papers)M. Goodman (5 shared papers)Michal Pravenec (1 shared paper)
- Journals
- Mammalian Genome (8 papers)Journal of Hypertension (6 papers)Journal of Clinical Investigation (3 papers)Hypertension (3 papers)Genomics (3 papers)
- Partner nations
- United StatesUnited KingdomCambodia
In The Last Decade
Howard Dene
53 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 107
- Endocrinology, Diabetes and Metabolism 629
- Cardiology and Cardiovascular Medicine 697
- Physiology 649
- Genetics 667
- Paleontology 119
Countries citing papers authored by Howard Dene
This map shows the geographic impact of Howard Dene'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 Howard Dene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Howard Dene more than expected).
Fields of papers citing papers by Howard Dene
This network shows the impact of papers produced by Howard Dene. 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 Howard Dene. The network helps show where Howard Dene may publish in the future.
Co-authors
The 25 scholars most cited alongside Howard Dene, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 269 | |
| 2 | 1989 | 262 | |
| 3 | 1994 | 110 | |
| 4 | 1976 | 98 | |
| 5 | 1977 | 95 | |
| 6 | 1982 | 87 | |
| 7 | 2003 | 83 | |
| 8 | 1996 | 79 | |
| 9 | 1994 | 78 | |
| 10 | 1997 | 72 | |
| 11 | 1976 | 65 | |
| 12 | 1993 | 62 | |
| 13 | 1981 | 59 | |
| 14 | 2001 | 57 | |
| 15 | 1997 | 57 | |
| 16 | 1994 | 46 | |
| 17 | 1997 | 44 | |
| 18 | 1997 | 44 | |
| 19 | 1990 | 42 | |
| 20 | 1989 | 40 |
About Howard Dene
Howard Dene is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Genetics and Cell Biology, having authored 53 papers that have together received 2.3k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (14 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers), Hormonal Regulation and Hypertension (11 papers), Adipose Tissue and Metabolism (11 papers), Primate Behavior and Ecology (5 papers), Hemoglobin structure and function (4 papers), Erythrocyte Function and Pathophysiology (4 papers) and Bat Biology and Ecology Studies (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (629 citations), Cardiology and Cardiovascular Medicine (697 citations), Physiology (649 citations), Genetics (667 citations) and Paleontology (119 citations). Howard Dene has collaborated with scholars based in United States, United Kingdom and Cambodia. Frequent co-authors include John P. Rapp, Alan Y. Deng, Morris F. Goodman, Michael R. Garrett, William Prychodko, Alejo E. Romero-Herrera, M. Goodman, Michal Pravenec, Barbara Hoebee and William S. Moore. Their work appears in journals such as Mammalian Genome, Journal of Hypertension, Journal of Clinical Investigation, Hypertension and 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.