Péter Várnai
- Sensory Systems top 0.2%
- Cell Biology top 0.2%
- Cellular transport and secretion 26
- Physiology top 0.5%
- Molecular Biology top 1%
- Receptor Mechanisms and Signaling 27
- Mitochondrial Function and Pathology 18
- Ion channel regulation and function 18
- Protein Kinase Regulation and GTPase Signaling 16
- ATP Synthase and ATPases Research 12
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- Neuroscience and Neuropharmacology Research 9
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- Pancreatic function and diabetes 9
- Co-authors
- Tamás BallaMiklós GeisztGyörgy HajnóczkyLászló HunyadyAndrás BallaThomas L. LetoJeffrey B. KoppGyörgy Csordás
- Journals
- Journal of Biological Chemistry (15 papers)Proceedings of the National Academy of Sciences (7 papers)Molecular Cell (5 papers)
- Partner nations
- HungaryUnited StatesGermany
In The Last Decade
Péter Várnai
107 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Sensory Systems 926
- Cell Biology 2.4k
- Physiology 501
- Molecular Biology 5.3k
- Cellular and Molecular Neuroscience 1.4k
Countries citing papers authored by Péter Várnai
This map shows the geographic impact of Péter Várnai'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 Péter Várnai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter Várnai more than expected).
Fields of papers citing papers by Péter Várnai
This network shows the impact of papers produced by Péter Várnai. 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 Péter Várnai. The network helps show where Péter Várnai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Péter Várnai, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 27 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 57 | |
| 8 | 2022 | 9 | |
| 9 | 2021 | 27 | |
| 10 | 2021 | 1 | |
| 11 | 2018 | 3 | |
| 12 | 2018 | 93 | |
| 13 | 2017 | 25 | |
| 14 | 2017 | 1 | |
| 15 | 2016 | 76 | |
| 16 | 2012 | 3 | |
| 17 | 2010 | 137 | |
| 18 | 2007 | 73 | |
| 19 | 1999 | 250 | |
| 20 | 1998 | 52 |
About Péter Várnai
Péter Várnai is a scholar working on Cell Biology, Sensory Systems and Cellular and Molecular Neuroscience, having authored 109 papers that have together received 7.6k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (27 papers), Cellular transport and secretion (26 papers), Mitochondrial Function and Pathology (18 papers), Ion channel regulation and function (18 papers), Protein Kinase Regulation and GTPase Signaling (16 papers), ATP Synthase and ATPases Research (12 papers), Neuroscience and Neuropharmacology Research (9 papers) and Pancreatic function and diabetes (9 papers). The work is most often cited by research in Sensory Systems (926 citations), Cell Biology (2.4k citations) and Physiology (501 citations). Péter Várnai has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Tamás Balla, Miklós Geiszt, György Hajnóczky, László Hunyady, András Balla, Thomas L. Leto, Jeffrey B. Kopp, György Csordás, Baskaran Thyagarajan and Tibor Rohács. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Molecular Cell, Biophysical Journal and Endocrinology.
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.