Steven E. Mayer
- Physiology top 5%
- Adipose Tissue and Metabolism 6
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- Cardiac electrophysiology and arrhythmias 12
- Cardiac pacing and defibrillation studies 6
- Physiology top 2%
- Adipose Tissue and Metabolism 6
- Molecular Biology top 5%
- Ion channel regulation and function 15
- Metabolism, Diabetes, and Cancer 7
- Biochemistry top 5%
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- Muscle metabolism and nutrition 11
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- Glycogen Storage Diseases and Myoclonus 8
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- Neuroscience and Neuropharmacology Research 6
- Co-authors
- Laurence L. BruntonJames T. StullJ S HayesDaniel SteinbergNeil C. MoranRobert B. JenningsM L HillK A Reimer
- Journals
- Journal of Pharmacology and Experimental Therapeutics (16 papers)Journal of Biological Chemistry (11 papers)Circulation Research (9 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Steven E. Mayer
85 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 121
- Physiology 696
- Cardiology and Cardiovascular Medicine 579
- Physiology 113
- Molecular Biology 1.7k
- Biochemistry 175
Countries citing papers authored by Steven E. Mayer
This map shows the geographic impact of Steven E. Mayer'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 Steven E. Mayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven E. Mayer more than expected).
Fields of papers citing papers by Steven E. Mayer
This network shows the impact of papers produced by Steven E. Mayer. 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 Steven E. Mayer. The network helps show where Steven E. Mayer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steven E. Mayer, 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 | 1993 | 43 | |
| 2 | 1989 | 4 | |
| 3 | 1988 | 6 | |
| 4 | 1987 | 28 | |
| 5 | 1982 | 47 | |
| 6 | 1979 | 99 | |
| 7 | 1976 | 18 | |
| 8 | Immunité cellulaire et leucémies à tricholeucocytes | 1974 | 2 |
| 9 | 1974 | 32 | |
| 10 | 1973 | 88 | |
| 11 | 1972 | 12 | |
| 12 | 1972 | 41 | |
| 13 | 1971 | 132 | |
| 14 | 1970 | 74 | |
| 15 | 1970 | 63 | |
| 16 | 1968 | 86 | |
| 17 | 1963 | 7 | |
| 18 | 1960 | 23 | |
| 19 | 1956 | 9 | |
| 20 | 1954 | 3 |
About Steven E. Mayer
Steven E. Mayer is a scholar working on Toxicology, Biochemistry and Cell Biology, having authored 86 papers that have together received 3.1k indexed citations. Recurring topics across this work include Ion channel regulation and function (15 papers), Cardiac electrophysiology and arrhythmias (12 papers), Muscle metabolism and nutrition (11 papers), Glycogen Storage Diseases and Myoclonus (8 papers), Metabolism, Diabetes, and Cancer (7 papers), Cardiac pacing and defibrillation studies (6 papers), Neuroscience and Neuropharmacology Research (6 papers) and Adipose Tissue and Metabolism (6 papers). The work is most often cited by research in Physiology (696 citations), Cardiology and Cardiovascular Medicine (579 citations) and Physiology (113 citations). Steven E. Mayer has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Laurence L. Brunton, James T. Stull, J S Hayes, Daniel Steinberg, Neil C. Moran, Robert B. Jennings, M L Hill, K A Reimer, Jussi K. Huttunen and Donald H. Namm. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Biological Chemistry, Circulation Research, Molecular Pharmacology and Proceedings of the National Academy of Sciences.
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.