David R. Cool
Impact in
- Cell Biology top 2%
- Cellular transport and secretion
-
- Regulation of Appetite and Obesity
Papers in
-
- Receptor Mechanisms and Signaling 5
- Protein Hydrolysis and Bioactive Peptides 4
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- Neuroendocrine regulation and behavior 12
- Co-authors
- Y. Peng Loh (3 shared papers)Frederick H. Leibach (6 shared papers)Vadivel Ganapathy (7 shared papers)Y. Peng Loh (5 shared papers)V.B. Mahesh (4 shared papers)Hao‐Chia Chen (1 shared paper)Lewis K. Pannell (1 shared paper)Ying Zhang (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Molecular and Cellular Endocrinology (3 papers)Biochimie (2 papers)Hypertension (2 papers)Endocrinology (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
David R. Cool
56 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 99
- Cell Biology 509
- Endocrine and Autonomic Systems 172
- Cellular and Molecular Neuroscience 395
- Physiology 79
- Behavioral Neuroscience 41
Countries citing papers authored by David R. Cool
This map shows the geographic impact of David R. Cool'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 David R. Cool with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David R. Cool more than expected).
Fields of papers citing papers by David R. Cool
This network shows the impact of papers produced by David R. Cool. 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 David R. Cool. The network helps show where David R. Cool may publish in the future.
Co-authors
The 25 scholars most cited alongside David R. Cool, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 373 | |
| 2 | 1995 | 138 | |
| 3 | 1991 | 126 | |
| 4 | 1993 | 106 | |
| 5 | 2006 | 81 | |
| 6 | 1991 | 76 | |
| 7 | 2011 | 68 | |
| 8 | 1998 | 63 | |
| 9 | 2018 | 58 | |
| 10 | 2012 | 55 | |
| 11 | 1994 | 52 | |
| 12 | 1990 | 43 | |
| 13 | 2005 | 41 | |
| 14 | 2017 | 38 | |
| 15 | 1990 | 37 | |
| 16 | 2005 | 34 | |
| 17 | 2018 | 30 | |
| 18 | 2013 | 28 | |
| 19 | 1990 | 27 | |
| 20 | 1993 | 26 |
About David R. Cool
David R. Cool is a scholar working on Molecular Biology, Social Psychology, Cell Biology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 57 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (12 papers), Cellular transport and secretion (7 papers), Neuropeptides and Animal Physiology (6 papers), Receptor Mechanisms and Signaling (5 papers), Renin-Angiotensin System Studies (5 papers), Regulation of Appetite and Obesity (4 papers), Prenatal Substance Exposure Effects (4 papers) and Protein Hydrolysis and Bioactive Peptides (4 papers). The work is most often cited by research in Cell Biology (509 citations), Endocrine and Autonomic Systems (172 citations), Cellular and Molecular Neuroscience (395 citations), Physiology (79 citations) and Behavioral Neuroscience (41 citations). David R. Cool has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Y. Peng Loh, Frederick H. Leibach, Vadivel Ganapathy, Y. Peng Loh, V.B. Mahesh, Hao‐Chia Chen, Lewis K. Pannell, Ying Zhang, Fusheng Shen and Emmanuel Normant. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Endocrinology, Biochimie, Hypertension and Endocrinology.
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.