Peter E. Cadman
Impact in
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
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- Hormonal Regulation and Hypertension
Papers in
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- Receptor Mechanisms and Signaling 5
- Protein Kinase Regulation and GTPase Signaling 2
- Nicotinic Acetylcholine Receptors Study 2
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- Hormonal Regulation and Hypertension 3
- Co-authors
- Daniel T. O’Connor (11 shared papers)Fangwen Rao (7 shared papers)Sushil K. Mahata (6 shared papers)Gen Wen (6 shared papers)Nicholas J. Schork (6 shared papers)Manjula Mahata (4 shared papers)Rany M. Salem (5 shared papers)Laurent Taupenot (5 shared papers)
- Journals
- Annals of the New York Academy of Sciences (2 papers)Diabetes Obesity and Metabolism (1 paper)The American Journal of Human Genetics (1 paper)Journal of the American Society of Nephrology (1 paper)Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy (1 paper)
- Partner nations
- United StatesSwedenNorway
In The Last Decade
Peter E. Cadman
14 papers receiving 497 citations
Peers
Comparison fields: 5 of 81
- Pharmacology 58
- Endocrinology, Diabetes and Metabolism 110
- Cellular and Molecular Neuroscience 107
- Behavioral Neuroscience 19
- Cell Biology 83
Countries citing papers authored by Peter E. Cadman
This map shows the geographic impact of Peter E. Cadman'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 Peter E. Cadman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter E. Cadman more than expected).
Fields of papers citing papers by Peter E. Cadman
This network shows the impact of papers produced by Peter E. Cadman. 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 Peter E. Cadman. The network helps show where Peter E. Cadman may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter E. Cadman, 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 | 2004 | 90 | |
| 2 | 2007 | 73 | |
| 3 | 2005 | 71 | |
| 4 | 2005 | 68 | |
| 5 | 2008 | 48 | |
| 6 | 2006 | 25 | |
| 7 | 2003 | 25 | |
| 8 | 2005 | 23 | |
| 9 | 2002 | 20 | |
| 10 | 2003 | 19 | |
| 11 | 2016 | 16 | |
| 12 | 2008 | 15 | |
| 13 | 2004 | 12 | |
| 14 | 2023 | 1 |
About Peter E. Cadman
Peter E. Cadman is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cell Biology, Pharmacology and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 506 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Cellular transport and secretion (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Hormonal Regulation and Hypertension (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Renin-Angiotensin System Studies (2 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Pharmacology (58 citations), Endocrinology, Diabetes and Metabolism (110 citations), Cellular and Molecular Neuroscience (107 citations), Behavioral Neuroscience (19 citations) and Cell Biology (83 citations). Peter E. Cadman has collaborated with scholars based in United States, Sweden and Norway. Frequent co-authors include Daniel T. O’Connor, Fangwen Rao, Sushil K. Mahata, Gen Wen, Nicholas J. Schork, Manjula Mahata, Rany M. Salem, Laurent Taupenot, Bruce A. Hamilton and Mats Stridsberg. Their work appears in journals such as Annals of the New York Academy of Sciences, Diabetes Obesity and Metabolism, The American Journal of Human Genetics, Journal of the American Society of Nephrology and Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy.
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.