Jan Kučera
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 5%
- Biomedical Engineering
- Surgery
- Co-authors
- Stephan RohrAndré G. KléberYoram RudyVladimir G. FastHugues AbrielEnno de LangeNiels F. OtaniThomas J. Hund
- Topics
- Cardiac electrophysiology and arrhythmias (48 papers)Ion channel regulation and function (35 papers)Neuroscience and Neural Engineering (18 papers)
- Partner nations
- SwitzerlandUnited StatesNorway
In The Last Decade
Jan Kučera
90 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 122
- Cardiology and Cardiovascular Medicine 1.9k
- Molecular Biology 1.3k
- Cellular and Molecular Neuroscience 542
- Biomedical Engineering 159
- Surgery 135
Countries citing papers authored by Jan Kučera
This map shows the geographic impact of Jan Kučera'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 Jan Kučera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Kučera more than expected).
Fields of papers citing papers by Jan Kučera
This network shows the impact of papers produced by Jan Kučera. 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 Jan Kučera. The network helps show where Jan Kučera may publish in the future.
Co-authorship network of co-authors of Jan Kučera
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Kučera. A scholar is included among the top collaborators of Jan Kučera 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 Jan Kučera. Jan Kučera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 4 | |
| 7 | Uniaxial strain of cardiac tissue parallel to impulse propagation slows conduction more than in the perpendicular direction: untangling the effects of stretch on tissue resistance | 1 |
| 8 | 17 | |
| 9 | 127 | |
| 10 | 9 | |
| 11 | 0 | |
| 12 | 113 | |
| 13 | 28 | |
| 14 | 52 | |
| 15 | 74 | |
| 16 | 6 | |
| 17 | 1 | |
| 18 | 15 | |
| 19 | 5 | |
| 20 | 16 |
About Jan Kučera
Jan Kučera is a scholar working on Cardiology and Cardiovascular Medicine, Mathematical Physics and Cellular and Molecular Neuroscience, having authored 104 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (48 papers), Ion channel regulation and function (35 papers) and Neuroscience and Neural Engineering (18 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.9k citations), Cellular and Molecular Neuroscience (542 citations) and Molecular Biology (1.3k citations). Jan Kučera has collaborated with scholars based in Switzerland, United States and Norway. Frequent co-authors include Stephan Rohr, André G. Kléber, Yoram Rudy, Vladimir G. Fast, Hugues Abriel, Enno de Lange, Niels F. Otani, Thomas J. Hund, Etienne Delacrétaz and Kerstin Wustmann. Their work appears in journals such as Science, Journal of the American College of Cardiology and Circulation 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.