M. Eppenberger
Impact in
- Cell Biology top 10%
- Muscle metabolism and nutrition
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- Cardiomyopathy and Myosin Studies
- Cardiovascular Effects of Exercise
Papers in
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- Muscle Physiology and Disorders 3
- Mitochondrial Function and Pathology 1
- Signaling Pathways in Disease 1
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- Cardiomyopathy and Myosin Studies 4
- Co-authors
- Hans M. Eppenberger (5 shared papers)R. Richterich (1 shared paper)H. Aebi (1 shared paper)F. Homburger (3 shared papers)Colleen Nixon (3 shared papers)J. Baker (2 shared papers)Nathan O. Kaplan (1 shared paper)David M. Dawson (1 shared paper)
- Journals
- Annals of the New York Academy of Sciences (2 papers)Developmental Biology (2 papers)Muscle & Nerve (1 paper)Nature (1 paper)Experimental Biology and Medicine (1 paper)
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
M. Eppenberger
9 papers receiving 467 citations
Peers
Comparison fields: 5 of 77
- Cell Biology 172
- Cardiology and Cardiovascular Medicine 143
- Molecular Biology 298
- Rehabilitation 28
- Cellular and Molecular Neuroscience 73
Countries citing papers authored by M. Eppenberger
This map shows the geographic impact of M. Eppenberger'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 M. Eppenberger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Eppenberger more than expected).
Fields of papers citing papers by M. Eppenberger
This network shows the impact of papers produced by M. Eppenberger. 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 M. Eppenberger. The network helps show where M. Eppenberger may publish in the future.
Co-authors
The 12 scholars most cited alongside M. Eppenberger, 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 | 1964 | 223 | |
| 2 | 1988 | 81 | |
| 3 | 1966 | 70 | |
| 4 | 1967 | 54 | |
| 5 | 1968 | 48 | |
| 6 | 1965 | 18 | |
| 7 | 1964 | 13 | |
| 8 | Myofibril formation in longterm-cultures of adult rat heart cells. | 1987 | 6 |
| 9 | 1984 | 4 |
About M. Eppenberger
M. Eppenberger is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cell Biology, Surgery and Genetics, having authored 9 papers that have together received 517 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (4 papers), Muscle Physiology and Disorders (3 papers), Hemoglobin structure and function (2 papers), Mitochondrial Function and Pathology (1 paper), Signaling Pathways in Disease (1 paper), Genetic Neurodegenerative Diseases (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Physiological and biochemical adaptations (1 paper). The work is most often cited by research in Cell Biology (172 citations), Cardiology and Cardiovascular Medicine (143 citations), Molecular Biology (298 citations), Rehabilitation (28 citations) and Cellular and Molecular Neuroscience (73 citations). M. Eppenberger has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Hans M. Eppenberger, R. Richterich, H. Aebi, F. Homburger, Colleen Nixon, J. Baker, Nathan O. Kaplan, David M. Dawson, Thomas Baechi and Marcus Schaub. Their work appears in journals such as Annals of the New York Academy of Sciences, Developmental Biology, Muscle & Nerve, Nature and Experimental Biology and Medicine.
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.