Viktor Kis
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
- Biological Psychiatry top 10%
Papers in
-
- Neuroscience and Neuropharmacology Research 6
- Neurobiology and Insect Physiology Research 1
-
- Neuroinflammation and Neurodegeneration Mechanisms 2
- Co-authors
- Miklós Sass (3 shared papers)Péter Somogyi (2 shared papers)Péter Gulyássy (8 shared papers)Gábor D. Juhász (7 shared papers)Katalin Adrienna Kékesi (7 shared papers)Péter Lőrincz (3 shared papers)Mónika Lippai (2 shared papers)Tim J. Viney (1 shared paper)
- Journals
- Molecular Neurobiology (2 papers)Journal of Proteomics (2 papers)Brain Behavior and Immunity (1 paper)Nature Communications (1 paper)Molecular Biology of the Cell (1 paper)
- Partner nations
- HungaryAustriaUnited States
In The Last Decade
Viktor Kis
19 papers receiving 966 citations
Peers
Comparison fields: 5 of 72
- Neurology 124
- Biological Psychiatry 18
- Cellular and Molecular Neuroscience 182
- Cognitive Neuroscience 148
- Neurology 98
Countries citing papers authored by Viktor Kis
This map shows the geographic impact of Viktor Kis'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 Viktor Kis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viktor Kis more than expected).
Fields of papers citing papers by Viktor Kis
This network shows the impact of papers produced by Viktor Kis. 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 Viktor Kis. The network helps show where Viktor Kis may publish in the future.
Co-authors
The 25 scholars most cited alongside Viktor Kis, 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 | 2018 | 158 | |
| 2 | 2015 | 114 | |
| 3 | 2014 | 113 | |
| 4 | 2013 | 103 | |
| 5 | 2018 | 68 | |
| 6 | 2018 | 67 | |
| 7 | 2015 | 61 | |
| 8 | 2015 | 55 | |
| 9 | 2016 | 46 | |
| 10 | 2014 | 42 | |
| 11 | 2016 | 37 | |
| 12 | 2019 | 26 | |
| 13 | 2020 | 23 | |
| 14 | 2016 | 21 | |
| 15 | 2016 | 16 | |
| 16 | 2016 | 15 | |
| 17 | 2017 | 11 | |
| 18 | 2017 | 8 | |
| 19 | 2017 | 8 |
About Viktor Kis
Viktor Kis is a scholar working on Cellular and Molecular Neuroscience, Neurology, Cognitive Neuroscience, Social Psychology and Cell Biology, having authored 19 papers that have together received 992 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Neuroendocrine regulation and behavior (3 papers), Alzheimer's disease research and treatments (2 papers), Autophagy in Disease and Therapy (2 papers), Cellular transport and secretion (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Neurobiology and Insect Physiology Research (1 paper) and Sleep and Wakefulness Research (1 paper). The work is most often cited by research in Neurology (124 citations), Biological Psychiatry (18 citations), Cellular and Molecular Neuroscience (182 citations), Cognitive Neuroscience (148 citations) and Neurology (98 citations). Viktor Kis has collaborated with scholars based in Hungary, Austria and United States. Frequent co-authors include Miklós Sass, Péter Somogyi, Péter Gulyássy, Gábor D. Juhász, Katalin Adrienna Kékesi, Péter Lőrincz, Mónika Lippai, Tim J. Viney, Güneş Ünal and Abhilasha Joshi. Their work appears in journals such as Molecular Neurobiology, Journal of Proteomics, Brain Behavior and Immunity, Nature Communications and Molecular Biology of the Cell.
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.