Martin Rees
Impact in
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- Cardiomyopathy and Myosin Studies
- Cardiac electrophysiology and arrhythmias
- Structural Biology top 10%
- Advanced Electron Microscopy Techniques and Applications
Papers in
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- Cardiomyopathy and Myosin Studies 7
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- Protein Structure and Dynamics 3
- Protein Kinase Regulation and GTPase Signaling 2
- Muscle Physiology and Disorders 2
- Co-authors
- Mathias Gautel (7 shared papers)Pauline M. Bennett (2 shared papers)Ay Lin Kho (2 shared papers)Thorsten Wagner (1 shared paper)Markus Stabrin (1 shared paper)Michael Grange (1 shared paper)Sebastian Tacke (1 shared paper)Stefan Raunser (1 shared paper)
- Journals
- Biophysical Journal (2 papers)Journal of Structural Biology (1 paper)Genome Medicine (1 paper)PLoS ONE (1 paper)eLife (1 paper)
- Partner nations
- United KingdomGermanyJapan
In The Last Decade
Martin Rees
11 papers receiving 298 citations
Martin Rees's Hit Papers
Peers
Comparison fields: 5 of 34
- Cardiology and Cardiovascular Medicine 175
- Structural Biology 14
- Molecular Biology 92
- Cellular and Molecular Neuroscience 20
- Cell Biology 13
Countries citing papers authored by Martin Rees
This map shows the geographic impact of Martin Rees'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 Martin Rees with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Rees more than expected).
Fields of papers citing papers by Martin Rees
This network shows the impact of papers produced by Martin Rees. 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 Martin Rees. The network helps show where Martin Rees may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin Rees, 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 | Structure of the native myosin filament in the relaxed cardiac sarcomere Hit paper breakdown → | 2023 | 100 |
| 2 | 2021 | 47 | |
| 3 | 2021 | 39 | |
| 4 | 2020 | 32 | |
| 5 | 2012 | 19 | |
| 6 | 2013 | 19 | |
| 7 | 2021 | 17 | |
| 8 | 2017 | 15 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2026 | 0 |
About Martin Rees
Martin Rees is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Genetics, Cell Biology and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 299 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (7 papers), Protein Structure and Dynamics (3 papers), Genomics and Rare Diseases (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Muscle Physiology and Disorders (2 papers), Force Microscopy Techniques and Applications (1 paper), Cellular Mechanics and Interactions (1 paper) and Genetic Neurodegenerative Diseases (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (175 citations), Structural Biology (14 citations), Molecular Biology (92 citations), Cellular and Molecular Neuroscience (20 citations) and Cell Biology (13 citations). Martin Rees has collaborated with scholars based in United Kingdom, Germany and Japan. Frequent co-authors include Mathias Gautel, Pauline M. Bennett, Ay Lin Kho, Thorsten Wagner, Markus Stabrin, Michael Grange, Sebastian Tacke, Stefan Raunser, Zhexin Wang and Malcolm Irving. Their work appears in journals such as Biophysical Journal, Journal of Structural Biology, Genome Medicine, PLoS ONE and eLife.
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.