Jean‐Claude Perriard
- Molecular Biology top 2%
- Cardiology and Cardiovascular Medicine top 0.5%
- Cell Biology top 1%
- Cellular and Molecular Neuroscience top 5%
- Surgery top 10%
- Co-authors
- Elisabeth EhlerHans M. EppenbergerIrina AgarkovaEvelyne PerriardPico CaroniThierry SoldatiPreeti AhujaKenneth R. Chien
- Topics
- Cardiomyopathy and Myosin Studies (39 papers)Muscle Physiology and Disorders (26 papers)RNA Research and Splicing (13 papers)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Jean‐Claude Perriard
76 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 3.6k
- Cardiology and Cardiovascular Medicine 2.7k
- Cell Biology 957
- Cellular and Molecular Neuroscience 456
- Surgery 438
Countries citing papers authored by Jean‐Claude Perriard
This map shows the geographic impact of Jean‐Claude Perriard'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 Jean‐Claude Perriard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Claude Perriard more than expected).
Fields of papers citing papers by Jean‐Claude Perriard
This network shows the impact of papers produced by Jean‐Claude Perriard. 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 Jean‐Claude Perriard. The network helps show where Jean‐Claude Perriard may publish in the future.
Co-authorship network of co-authors of Jean‐Claude Perriard
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Claude Perriard. A scholar is included among the top collaborators of Jean‐Claude Perriard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean‐Claude Perriard. Jean‐Claude Perriard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 16 | |
| 3 | 35 | |
| 4 | 69 | |
| 5 | 55 | |
| 6 | 18 | |
| 7 | 158 | |
| 8 | 70 | |
| 9 | 38 | |
| 10 | 22 | |
| 11 | 69 | |
| 12 | 76 | |
| 13 | 33 | |
| 14 | 31 | |
| 15 | MLP-Deficient Mice Exhibit a Disruption of Cardiac Cytoarchitectural Organization, Dilated Cardiomyopathy, and Heart Failurebreakdown → | 672 |
| 16 | 54 | |
| 17 | 23 | |
| 18 | 50 | |
| 19 | 7 | |
| 20 | Developmental processes in normal and diseased muscle | 20 |
About Jean‐Claude Perriard
Jean‐Claude Perriard is a scholar working on Cardiology and Cardiovascular Medicine, Cell Biology and Molecular Biology, having authored 76 papers that have together received 5.3k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (39 papers), Muscle Physiology and Disorders (26 papers) and RNA Research and Splicing (13 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.7k citations), Cell Biology (957 citations) and Molecular Biology (3.6k citations). Jean‐Claude Perriard has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Elisabeth Ehler, Hans M. Eppenberger, Irina Agarkova, Evelyne Perriard, Pico Caroni, Thierry Soldati, Preeti Ahuja, Kenneth R. Chien, Daniel Auerbach and Stephan Lange. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.