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
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- Mitochondrial Function and Pathology 4
- Metabolomics and Mass Spectrometry Studies 3
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- Neuroscience and Neuropharmacology Research 6
- Co-authors
- Katalin A. Kékesi (14 shared papers)Gábor Juhász (13 shared papers)László Drahos (9 shared papers)Viktor Kis (8 shared papers)Katalin Völgyi (10 shared papers)Balázs A. Györffy (7 shared papers)Attila Simor (6 shared papers)Gert Lübec (5 shared papers)
In The Last Decade
Péter Gulyássy
15 papers receiving 558 citations
Peers
Comparison fields: 5 of 79
- Biological Psychiatry 71
- Neurology 195
- Cellular and Molecular Neuroscience 176
- Physiology 180
- Behavioral Neuroscience 21
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 | 141 | |
| 2 | 2018 | 67 | |
| 3 | 2015 | 58 | |
| 4 | 2012 | 56 | |
| 5 | 2020 | 50 | |
| 6 | 2012 | 35 | |
| 7 | 2020 | 28 | |
| 8 | 2017 | 27 | |
| 9 | 2013 | 21 | |
| 10 | 2016 | 19 | |
| 11 | 2016 | 16 | |
| 12 | 2022 | 15 | |
| 13 | 2016 | 13 | |
| 14 | 2017 | 9 | |
| 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 563 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Alzheimer's disease research and treatments (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Mitochondrial Function and Pathology (4 papers), Tryptophan and brain disorders (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Sleep and Wakefulness Research (2 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Biological Psychiatry (71 citations), Neurology (195 citations), Cellular and Molecular Neuroscience (176 citations), Physiology (180 citations) and Behavioral Neuroscience (21 citations). Péter Gulyássy has collaborated with scholars based in Hungary, Austria and Sweden. Frequent co-authors include Katalin A. Kékesi, Gábor Juhász, László Drahos, Viktor Kis, Katalin Völgyi, Balázs A. Györffy, Attila Simor, Gert Lübec, József Kardos and András Micsonai. Their work appears in journals such as Molecular Neurobiology, Brain Behavior and Immunity, Journal of Proteomics, Proceedings of the National Academy of Sciences and Amino Acids.
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.