Péter Gulyássy
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
Papers in
-
- Mitochondrial Function and Pathology 4
- Metabolomics and Mass Spectrometry Studies 3
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- Neuroscience and Neuropharmacology Research 5
- Co-authors
- Gábor Juhász (13 shared papers)Katalin A. Kékesi (13 shared papers)László Drahos (9 shared papers)Viktor Kis (8 shared papers)Balázs A. Györffy (7 shared papers)Katalin Völgyi (9 shared papers)József Kardos (3 shared papers)Gert Lübec (5 shared papers)
- Journals
- Molecular Neurobiology (4 papers)Brain Behavior and Immunity (2 papers)Journal of Proteomics (2 papers)Journal of Neurochemistry (1 paper)Cellular and Molecular Life Sciences (1 paper)
- Partner nations
- HungaryAustriaUnited States
In The Last Decade
Péter Gulyássy
15 papers receiving 572 citations
Peers
Comparison fields: 5 of 77
- Biological Psychiatry 67
- Neurology 183
- Cellular and Molecular Neuroscience 169
- Physiology 172
- Behavioral Neuroscience 20
Countries citing papers authored by Péter Gulyássy
This map shows the geographic impact of Péter Gulyássy'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 Gulyássy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter Gulyássy more than expected).
Fields of papers citing papers by Péter Gulyássy
This network shows the impact of papers produced by Péter Gulyássy. 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 Gulyássy. The network helps show where Péter Gulyássy may publish in the future.
Co-authors
The 25 scholars most cited alongside Péter Gulyássy, 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 | 147 | |
| 2 | 2018 | 67 | |
| 3 | 2015 | 58 | |
| 4 | 2012 | 57 | |
| 5 | 2020 | 53 | |
| 6 | 2012 | 35 | |
| 7 | 2017 | 29 | |
| 8 | 2020 | 28 | |
| 9 | 2013 | 21 | |
| 10 | 2016 | 19 | |
| 11 | 2022 | 16 | |
| 12 | 2016 | 16 | |
| 13 | 2016 | 13 | |
| 14 | 2017 | 10 | |
| 15 | 2017 | 8 |
About Péter Gulyássy
Péter Gulyássy is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Neurology and Biological Psychiatry, having authored 15 papers that have together received 577 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Mitochondrial Function and Pathology (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Alzheimer's disease research and treatments (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Tryptophan and brain disorders (3 papers), Biochemical effects in animals (2 papers) and Sleep and Wakefulness Research (2 papers). The work is most often cited by research in Biological Psychiatry (67 citations), Neurology (183 citations), Cellular and Molecular Neuroscience (169 citations), Physiology (172 citations) and Behavioral Neuroscience (20 citations). Péter Gulyássy has collaborated with scholars based in Hungary, Austria and United States. Frequent co-authors include Gábor Juhász, Katalin A. Kékesi, László Drahos, Viktor Kis, Balázs A. Györffy, Katalin Völgyi, József Kardos, Gert Lübec, Attila Simor and György Török. Their work appears in journals such as Molecular Neurobiology, Brain Behavior and Immunity, Journal of Proteomics, Journal of Neurochemistry and Cellular and Molecular Life Sciences.
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.