Jiří Šimurda
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Pathology and Forensic Medicine
- Biophysics top 10%
- Co-authors
- Michal PásekGeorges ChristéMarkéta BébarováPeter MatejovičClive H. OrchardP BravenýRoman KulaRémi Forrat
- Topics
- Cardiac electrophysiology and arrhythmias (47 papers)Ion channel regulation and function (41 papers)Neuroscience and Neural Engineering (22 papers)
- Partner nations
- CzechiaFranceUnited Kingdom
In The Last Decade
Jiří Šimurda
47 papers receiving 458 citations
Peers
Comparison fields: 5 of 67
- Cardiology and Cardiovascular Medicine 415
- Molecular Biology 343
- Cellular and Molecular Neuroscience 195
- Pathology and Forensic Medicine 26
- Biophysics 26
Countries citing papers authored by Jiří Šimurda
This map shows the geographic impact of Jiří Šimurda'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 Jiří Šimurda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiří Šimurda more than expected).
Fields of papers citing papers by Jiří Šimurda
This network shows the impact of papers produced by Jiří Šimurda. 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 Jiří Šimurda. The network helps show where Jiří Šimurda may publish in the future.
Co-authorship network of co-authors of Jiří Šimurda
This figure shows the co-authorship network connecting the top 25 collaborators of Jiří Šimurda. A scholar is included among the top collaborators of Jiří Šimurda 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 Jiří Šimurda. Jiří Šimurda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 10 | |
| 9 | 9 | |
| 10 | 0 | |
| 11 | 47 | |
| 12 | Cycling of cations between T-tubular and surface membranes in amodel of guinea-pig ventricular cardiomyocyte | 2 |
| 13 | Changes of [Ca2+] in the t-tubule lumen during activity maymodulate the inotropic state of rat cardiac ventricularmyocytes | 1 |
| 14 | 7 | |
| 15 | Ajmaline-induced block of sodium current in rat ventricularmyocytes | 5 |
| 16 | 12 | |
| 17 | Kinetics of propafenone-induced block of sodium current in ratventricular myocytes | 1 |
| 18 | 1 | |
| 19 | 13 | |
| 20 | The course of ionic transmembrane currents during cardiac action potentials. | 2 |
About Jiří Šimurda
Jiří Šimurda is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Electrochemistry, having authored 50 papers that have together received 480 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (47 papers), Ion channel regulation and function (41 papers) and Neuroscience and Neural Engineering (22 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (415 citations), Cellular and Molecular Neuroscience (195 citations) and Molecular Biology (343 citations). Jiří Šimurda has collaborated with scholars based in Czechia, France and United Kingdom. Frequent co-authors include Michal Pásek, Georges Christé, Markéta Bébarová, Peter Matejovič, Clive H. Orchard, P Bravený, Roman Kula, Rémi Forrat, Jan Hošek and Marie Novàkovâ. Their work appears in journals such as PLoS ONE, The Journal of Physiology and Journal of Cell Science.
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.