Markéta Bébarová
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Cellular and Molecular Neuroscience
- Pathology and Forensic Medicine
- Biomedical Engineering
- Co-authors
- Jiří ŠimurdaMichal PásekPeter MatejovičRoman KulaPaul G.A. VoldersJordi HeijmanHenry SutantoMatthijs Cluitmans
- Topics
- Cardiac electrophysiology and arrhythmias (39 papers)Ion channel regulation and function (27 papers)Cardiac pacing and defibrillation studies (6 papers)
- Partner nations
- CzechiaNetherlandsGermany
In The Last Decade
Markéta Bébarová
45 papers receiving 404 citations
Peers
Comparison fields: 5 of 74
- Cardiology and Cardiovascular Medicine 281
- Molecular Biology 224
- Cellular and Molecular Neuroscience 97
- Pathology and Forensic Medicine 40
- Biomedical Engineering 33
Countries citing papers authored by Markéta Bébarová
This map shows the geographic impact of Markéta Bébarová'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 Markéta Bébarová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markéta Bébarová more than expected).
Fields of papers citing papers by Markéta Bébarová
This network shows the impact of papers produced by Markéta Bébarová. 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 Markéta Bébarová. The network helps show where Markéta Bébarová may publish in the future.
Co-authorship network of co-authors of Markéta Bébarová
This figure shows the co-authorship network connecting the top 25 collaborators of Markéta Bébarová. A scholar is included among the top collaborators of Markéta Bébarová 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 Markéta Bébarová. Markéta Bébarová is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 2 | |
| 10 | 9 | |
| 11 | 3 | |
| 12 | 10 | |
| 13 | 8 | |
| 14 | 9 | |
| 15 | 7 | |
| 16 | 6 | |
| 17 | 27 | |
| 18 | 2 | |
| 19 | Effect of Sigma Ligand Haloperidol on Transient OutwardPotassium Current in Rat Cardiomyocytes | 1 |
| 20 | 8 |
About Markéta Bébarová
Markéta Bébarová is a scholar working on Cardiology and Cardiovascular Medicine, Electrochemistry and Cellular and Molecular Neuroscience, having authored 48 papers that have together received 412 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (39 papers), Ion channel regulation and function (27 papers) and Cardiac pacing and defibrillation studies (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (281 citations), Cellular and Molecular Neuroscience (97 citations) and Molecular Biology (224 citations). Markéta Bébarová has collaborated with scholars based in Czechia, Netherlands and Germany. Frequent co-authors include Jiří Šimurda, Michal Pásek, Peter Matejovič, Roman Kula, Paul G.A. Volders, Jordi Heijman, Henry Sutanto, Matthijs Cluitmans, Dobromir Dobrev and Marie Novàkovâ. Their work appears in journals such as PLoS ONE, Scientific Reports 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.