Gábor Szénási
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Cellular and Molecular Neuroscience top 5%
- Nephrology top 5%
- Physiology
- Co-authors
- László G. HársingAndrás VereckeiGyörgy LévayGábor Zoltán DurayJohn M. MillerGábor GiglerGregory T. AltemosePéter Hamar
- Topics
- Neuroscience and Neuropharmacology Research (18 papers)Cardiac electrophysiology and arrhythmias (17 papers)Ion channel regulation and function (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Physiology
- Partner nations
- HungaryFranceUnited States
In The Last Decade
Gábor Szénási
108 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 120
- Molecular Biology 630
- Cardiology and Cardiovascular Medicine 498
- Cellular and Molecular Neuroscience 275
- Nephrology 185
- Physiology 179
Countries citing papers authored by Gábor Szénási
This map shows the geographic impact of Gábor Szénási'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 Gábor Szénási with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Szénási more than expected).
Fields of papers citing papers by Gábor Szénási
This network shows the impact of papers produced by Gábor Szénási. 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 Gábor Szénási. The network helps show where Gábor Szénási may publish in the future.
Co-authorship network of co-authors of Gábor Szénási
This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Szénási. A scholar is included among the top collaborators of Gábor Szénási 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 Gábor Szénási. Gábor Szénási is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 18 | |
| 3 | 3 | |
| 4 | 11 | |
| 5 | 14 | |
| 6 | Acute physiological changes caused by complement activators and amphotericin B-containing liposomes in mice | 1 |
| 7 | 20 | |
| 8 | 2 | |
| 9 | 12 | |
| 10 | 1 | |
| 11 | 9 | |
| 12 | 21 | |
| 13 | 83 | |
| 14 | 32 | |
| 15 | 72 | |
| 16 | 138 | |
| 17 | 34 | |
| 18 | 30 | |
| 19 | 5 | |
| 20 | 5 |
About Gábor Szénási
Gábor Szénási is a scholar working on Nephrology, Biological Psychiatry and Cellular and Molecular Neuroscience, having authored 114 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (18 papers), Cardiac electrophysiology and arrhythmias (17 papers) and Ion channel regulation and function (11 papers). The work is most often cited by research in Biological Psychiatry (166 citations), Behavioral Neuroscience (168 citations) and Nephrology (185 citations). Gábor Szénási has collaborated with scholars based in Hungary, France and United States. Frequent co-authors include László G. Hársing, András Vereckei, György Lévay, Gábor Zoltán Duray, John M. Miller, Gábor Gigler, Gregory T. Altemose, Péter Hamar, Mihály Albert and István Gacsályi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.