J.M. Caffrey
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Physiology top 10%
- Pain Mechanisms and Treatments
Papers in
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- Ion channel regulation and function 7
- Mitochondrial Function and Pathology 2
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- Neuroscience and Neural Engineering 5
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Mary C. Farach‐Carson (2 shared papers)Jeffery D. Kocsis (1 shared paper)Stephen G. Waxman (1 shared paper)D L Eng (1 shared paper)J.A. Black (1 shared paper)Arthur Brown (2 shared papers)Ira R. Josephson (1 shared paper)Ann Cornell-Bell (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)American Journal of Physiology-Heart and Circulatory Physiology (1 paper)Molecular Pharmacology (1 paper)Canadian Journal of Physiology and Pharmacology (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United States
In The Last Decade
J.M. Caffrey
9 papers receiving 615 citations
Peers
Comparison fields: 5 of 73
- Cellular and Molecular Neuroscience 292
- Physiology 191
- Pathology and Forensic Medicine 123
- Molecular Biology 456
- Sensory Systems 29
Countries citing papers authored by J.M. Caffrey
This map shows the geographic impact of J.M. Caffrey'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 J.M. Caffrey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.M. Caffrey more than expected).
Fields of papers citing papers by J.M. Caffrey
This network shows the impact of papers produced by J.M. Caffrey. 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 J.M. Caffrey. The network helps show where J.M. Caffrey may publish in the future.
Co-authors
The 25 scholars most cited alongside J.M. Caffrey, 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 | 1992 | 261 | |
| 2 | 1989 | 206 | |
| 3 | 1986 | 53 | |
| 4 | 1988 | 34 | |
| 5 | 1992 | 33 | |
| 6 | 1990 | 22 | |
| 7 | 1987 | 16 | |
| 8 | 1988 | 7 | |
| 9 | 2019 | 6 |
About J.M. Caffrey
J.M. Caffrey is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Oncology, having authored 9 papers that have together received 638 indexed citations. Recurring topics across this work include Ion channel regulation and function (7 papers), Neuroscience and Neural Engineering (5 papers), Cardiac electrophysiology and arrhythmias (5 papers), Mitochondrial Function and Pathology (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Muscle activation and electromyography studies (1 paper), Prostate Cancer Treatment and Research (1 paper) and Medicinal Plants and Neuroprotection (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (292 citations), Physiology (191 citations), Pathology and Forensic Medicine (123 citations), Molecular Biology (456 citations) and Sensory Systems (29 citations). J.M. Caffrey has collaborated with scholars based in United States. Frequent co-authors include Mary C. Farach‐Carson, Jeffery D. Kocsis, Stephen G. Waxman, D L Eng, J.A. Black, Arthur Brown, Ira R. Josephson, Ann Cornell-Bell, Prem Thomas and A M Brown. Their work appears in journals such as Journal of Biological Chemistry, American Journal of Physiology-Heart and Circulatory Physiology, Molecular Pharmacology, Canadian Journal of Physiology and Pharmacology and Journal of Clinical Investigation.
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.