Tamás Bányász
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Surgery
- Electrochemistry top 5%
- Co-authors
- Péter P. NánásiJános MagyarNorbert SzentandrássyBalázs HorváthYe Chen‐IzuLeighton T. IzuAndrás VarróBence Hegyi
- Topics
- Cardiac electrophysiology and arrhythmias (112 papers)Ion channel regulation and function (99 papers)Neuroscience and Neural Engineering (33 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American College of CardiologyThe Journal of Physiology
- Partner nations
- HungaryUnited StatesItaly
In The Last Decade
Tamás Bányász
127 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 117
- Cardiology and Cardiovascular Medicine 2.1k
- Molecular Biology 2.0k
- Cellular and Molecular Neuroscience 745
- Surgery 137
- Electrochemistry 129
Countries citing papers authored by Tamás Bányász
This map shows the geographic impact of Tamás Bányász'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 Tamás Bányász with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamás Bányász more than expected).
Fields of papers citing papers by Tamás Bányász
This network shows the impact of papers produced by Tamás Bányász. 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 Tamás Bányász. The network helps show where Tamás Bányász may publish in the future.
Co-authorship network of co-authors of Tamás Bányász
This figure shows the co-authorship network connecting the top 25 collaborators of Tamás Bányász. A scholar is included among the top collaborators of Tamás Bányász 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 Tamás Bányász. Tamás Bányász 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 | 3 | |
| 3 | 5 | |
| 4 | 17 | |
| 5 | 20 | |
| 6 | 42 | |
| 7 | 32 | |
| 8 | 69 | |
| 9 | 18 | |
| 10 | 2 | |
| 11 | 71 | |
| 12 | 30 | |
| 13 | 13 | |
| 14 | 32 | |
| 15 | 1 | |
| 16 | 30 | |
| 17 | 59 | |
| 18 | 31 | |
| 19 | 7 | |
| 20 | Effect of streptozotocin-induced diabetes on kidney Na+/K(+)-ATPase. | 9 |
About Tamás Bányász
Tamás Bányász is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Molecular Biology, having authored 129 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (112 papers), Ion channel regulation and function (99 papers) and Neuroscience and Neural Engineering (33 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.1k citations), Cellular and Molecular Neuroscience (745 citations) and Molecular Biology (2.0k citations). Tamás Bányász has collaborated with scholars based in Hungary, United States and Italy. Frequent co-authors include Péter P. Nánási, János Magyar, Norbert Szentandrássy, Balázs Horváth, Ye Chen‐Izu, Leighton T. Izu, András Varró, Bence Hegyi, Kornél Kistamás and Zhong Jian. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American College of Cardiology and The Journal of Physiology.
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.