Peter E. Cadman
Impact in
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Receptor Mechanisms and Signaling 5
- Nicotinic Acetylcholine Receptors Study 2
-
- Cellular transport and secretion 4
- Biotin and Related Studies 2
- 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)Journal of the American Society of Nephrology (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)Clinical Pharmacology & Therapeutics (1 paper)American Journal of Kidney Diseases (1 paper)
- Partner nations
- United StatesSwedenPoland
In The Last Decade
Peter E. Cadman
14 papers receiving 511 citations
Peers
Comparison fields: 5 of 76
- Pharmacology 55
- Behavioral Neuroscience 19
- Cellular and Molecular Neuroscience 98
- Endocrinology, Diabetes and Metabolism 82
- Cell Biology 80
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 | 94 | |
| 2 | 2007 | 75 | |
| 3 | 2005 | 73 | |
| 4 | 2005 | 71 | |
| 5 | 2008 | 53 | |
| 6 | 2006 | 26 | |
| 7 | 2003 | 26 | |
| 8 | 2005 | 24 | |
| 9 | 2003 | 20 | |
| 10 | 2002 | 20 | |
| 11 | 2016 | 18 | |
| 12 | 2008 | 17 | |
| 13 | 2004 | 12 | |
| 14 | 2023 | 2 |
About Peter E. Cadman
Peter E. Cadman is a scholar working on Molecular Biology, Cell Biology, Endocrinology, Diabetes and Metabolism, Pharmacology and Pharmacology, having authored 14 papers that have together received 531 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Cellular transport and secretion (4 papers), Pharmacogenetics and Drug Metabolism (2 papers), Biotin and Related Studies (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Hormonal Regulation and Hypertension (2 papers), Diet and metabolism studies (1 paper) and Eicosanoids and Hypertension Pharmacology (1 paper). The work is most often cited by research in Pharmacology (55 citations), Behavioral Neuroscience (19 citations), Cellular and Molecular Neuroscience (98 citations), Endocrinology, Diabetes and Metabolism (82 citations) and Cell Biology (80 citations). Peter E. Cadman has collaborated with scholars based in United States, Sweden and Poland. 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, Journal of the American Society of Nephrology, The Journal of Clinical Endocrinology & Metabolism, Clinical Pharmacology & Therapeutics and American Journal of Kidney Diseases.
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.