Tamás Bányász
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- Cardiac electrophysiology and arrhythmias 112
- Cardiomyopathy and Myosin Studies 9
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- Neuroscience and Neural Engineering 33
- Neuroscience and Neuropharmacology Research 10
- Molecular Biology top 5%
- Ion channel regulation and function 99
- Receptor Mechanisms and Signaling 12
- Electrochemistry top 5%
- Electrochemical Analysis and Applications 8
- Sensory Systems top 5%
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- Cardiac Ischemia and Reperfusion 10
- Co-authors
- Péter P. NánásiJános MagyarNorbert SzentandrássyBalázs HorváthYe Chen‐IzuLeighton T. IzuAndrás VarróBence Hegyi
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American College of Cardiology (1 paper)The Journal of Physiology (2 papers)
- 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
- Cellular and Molecular Neuroscience 745
- Molecular Biology 2.0k
- Electrochemistry 129
- Sensory Systems 99
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
The 25 scholars most cited alongside Tamás Bányász, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2021 | 5 | |
| 4 | 2020 | 17 | |
| 5 | 2020 | 20 | |
| 6 | 2020 | 42 | |
| 7 | 2019 | 32 | |
| 8 | 2018 | 69 | |
| 9 | 2017 | 18 | |
| 10 | 2017 | 2 | |
| 11 | 2016 | 71 | |
| 12 | 2015 | 30 | |
| 13 | 2014 | 13 | |
| 14 | 2010 | 32 | |
| 15 | 2009 | 1 | |
| 16 | 2007 | 30 | |
| 17 | 2006 | 59 | |
| 18 | 2004 | 31 | |
| 19 | 1998 | 7 | |
| 20 | Effect of streptozotocin-induced diabetes on kidney Na+/K(+)-ATPase. | 1995 | 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), Neuroscience and Neural Engineering (33 papers), Receptor Mechanisms and Signaling (12 papers), Neuroscience and Neuropharmacology Research (10 papers), Cardiac Ischemia and Reperfusion (10 papers), Cardiomyopathy and Myosin Studies (9 papers) and Electrochemical Analysis and Applications (8 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.