Péter Petschner
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
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- Neurotransmitter Receptor Influence on Behavior 13
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- Tryptophan and brain disorders 7
- Co-authors
- György Bagdy (41 shared papers)Gabriella Juhász (41 shared papers)Xénia Gonda (34 shared papers)Nóra Eszlári (30 shared papers)John Deakin (19 shared papers)Dániel Baksa (17 shared papers)Péter Antal (11 shared papers)Ian Muir Anderson (14 shared papers)
- Journals
- Scientific Reports (5 papers)PLoS ONE (4 papers)Frontiers in Psychiatry (4 papers)European Neuropsychopharmacology (4 papers)Translational Psychiatry (4 papers)
- Partner nations
- HungaryUnited KingdomJapan
In The Last Decade
Péter Petschner
49 papers receiving 972 citations
Peers
Comparison fields: 5 of 87
- Biological Psychiatry 88
- Behavioral Neuroscience 88
- Pharmacology 212
- Cellular and Molecular Neuroscience 211
- Genetics 184
Countries citing papers authored by Péter Petschner
This map shows the geographic impact of Péter Petschner'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 Petschner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter Petschner more than expected).
Fields of papers citing papers by Péter Petschner
This network shows the impact of papers produced by Péter Petschner. 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 Petschner. The network helps show where Péter Petschner may publish in the future.
Co-authors
The 25 scholars most cited alongside Péter Petschner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 248 | |
| 2 | 2018 | 70 | |
| 3 | 2017 | 59 | |
| 4 | 2014 | 55 | |
| 5 | 2016 | 50 | |
| 6 | 2018 | 50 | |
| 7 | 2016 | 41 | |
| 8 | 2019 | 32 | |
| 9 | 2015 | 26 | |
| 10 | 2022 | 25 | |
| 11 | 2016 | 24 | |
| 12 | 2014 | 22 | |
| 13 | 2019 | 22 | |
| 14 | 2017 | 21 | |
| 15 | 2019 | 19 | |
| 16 | 2012 | 18 | |
| 17 | 2018 | 13 | |
| 18 | 2019 | 13 | |
| 19 | 2020 | 13 | |
| 20 | 2021 | 13 |
About Péter Petschner
Péter Petschner is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry, Pharmacology, Genetics and Behavioral Neuroscience, having authored 52 papers that have together received 991 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (16 papers), Neurotransmitter Receptor Influence on Behavior (13 papers), Treatment of Major Depression (10 papers), Tryptophan and brain disorders (7 papers), Migraine and Headache Studies (6 papers), Stress Responses and Cortisol (5 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (5 papers) and Suicide and Self-Harm Studies (3 papers). The work is most often cited by research in Biological Psychiatry (88 citations), Behavioral Neuroscience (88 citations), Pharmacology (212 citations), Cellular and Molecular Neuroscience (211 citations) and Genetics (184 citations). Péter Petschner has collaborated with scholars based in Hungary, United Kingdom and Japan. Frequent co-authors include György Bagdy, Gabriella Juhász, Xénia Gonda, Nóra Eszlári, John Deakin, Dániel Baksa, Péter Antal, Ian Muir Anderson, Dorottya Pap and Szilvia Vas. Their work appears in journals such as Scientific Reports, PLoS ONE, Frontiers in Psychiatry, European Neuropsychopharmacology and Translational Psychiatry.
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.