Péter Petschner

1.3k total citations
50 papers, 652 citations indexed

About

Péter Petschner is a scholar working on Biological Psychiatry, Molecular Biology and Behavioral Neuroscience. According to data from OpenAlex, Péter Petschner has authored 50 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biological Psychiatry, 12 papers in Molecular Biology and 12 papers in Behavioral Neuroscience. Recurrent topics in Péter Petschner's work include Tryptophan and brain disorders (21 papers), Stress Responses and Cortisol (12 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). Péter Petschner is often cited by papers focused on Tryptophan and brain disorders (21 papers), Stress Responses and Cortisol (12 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). Péter Petschner collaborates with scholars based in Hungary, United Kingdom and Japan. Péter Petschner's co-authors include György Bagdy, Gabriella Juhász, Xénia Gonda, Nóra Eszlári, J.F.W. Deakin, Dániel Baksa, Péter Antal, Ian Anderson, Dorottya Pap and Szilvia Vas and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Péter Petschner

46 papers receiving 643 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Péter Petschner Hungary 15 232 152 150 120 114 50 652
Nóra Eszlári Hungary 18 252 1.1× 164 1.1× 169 1.1× 153 1.3× 154 1.4× 54 833
Mario Catena-Dell’Osso Italy 14 183 0.8× 87 0.6× 133 0.9× 104 0.9× 96 0.8× 25 651
Lucija Tudor Croatia 16 193 0.8× 186 1.2× 110 0.7× 101 0.8× 96 0.8× 43 669
Hitoshi Maeshima Japan 20 262 1.1× 148 1.0× 109 0.7× 116 1.0× 240 2.1× 35 806
Abigail J. Sheldrick Germany 19 304 1.3× 161 1.1× 195 1.3× 122 1.0× 212 1.9× 32 918
Donghong Cui China 20 204 0.9× 271 1.8× 82 0.5× 144 1.2× 206 1.8× 70 989
Alessandra Solida Switzerland 11 281 1.2× 128 0.8× 99 0.7× 180 1.5× 277 2.4× 32 854
Lilian Canetti Canada 8 305 1.3× 314 2.1× 146 1.0× 206 1.7× 120 1.1× 8 745
Tomoko Tsunoka Japan 16 178 0.8× 184 1.2× 67 0.4× 221 1.8× 131 1.1× 24 666
Takenori Okumura Japan 16 174 0.8× 178 1.2× 67 0.4× 217 1.8× 108 0.9× 25 633

Countries citing papers authored by Péter Petschner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Péter Petschner

This figure shows the co-authorship network connecting the top 25 collaborators of Péter Petschner. A scholar is included among the top collaborators of Péter Petschner 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 Péter Petschner. Péter Petschner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Török, Dóra, Zsófia Gál, Nóra Eszlári, et al.. (2025). Interaction of early life stress and NAD + /SIRT1 pathway genetic risk promotes depression. Translational Psychiatry. 15(1). 509–509.
2.
3.
Nagy, Tamás, Xénia Gonda, András Gézsi, et al.. (2025). Pharmacological profiling of major depressive disorder-related multimorbidity clusters. European Neuropsychopharmacology. 96. 71–83.
4.
Petschner, Péter, Anh Nguyen, Canh Hao Nguyen, & Hiroshi Mamitsuka. (2025). Machine learning for predicting drug–drug interactions: Graph neural networks and beyond. Current Opinion in Systems Biology. 42. 100551–100551.
5.
Gál, Zsófia, Dóra Török, Xénia Gonda, et al.. (2024). New Evidence for the Role of the Blood-Brain Barrier and Inflammation in Stress-Associated Depression: A Gene-Environment Analysis Covering 19,296 Genes in 109,360 Humans. International Journal of Molecular Sciences. 25(20). 11332–11332. 2 indexed citations
6.
Baksa, Dániel, Péter Petschner, Xénia Gonda, et al.. (2024). Investigating the Role of TNF-Alpha through Blood-Brain Barrier Integrity in Stress-Induced Depression.. PubMed. 26(4). 197–203. 1 indexed citations
7.
Török, Dóra, Péter Petschner, Dániel Baksa, & Gabriella Juhász. (2024). Improved polygenic risk prediction in migraine-first patients. The Journal of Headache and Pain. 25(1). 161–161. 2 indexed citations
8.
Hullám, Gábor, Péter Petschner, Nóra Eszlári, et al.. (2023). Genetic risk of depression is different in subgroups of dietary ratio of tryptophan to large neutral amino acids. Scientific Reports. 13(1). 4976–4976. 3 indexed citations
9.
Gál, Zsófia, Dóra Török, Xénia Gonda, et al.. (2022). Inflammation and Blood-Brain Barrier in Depression: Interaction ofCLDN5andIL6Gene Variants in Stress-Induced Depression. The International Journal of Neuropsychopharmacology. 26(3). 189–197. 20 indexed citations
10.
Petschner, Péter, Dániel Baksa, Gábor Hullám, et al.. (2021). A replication study separates polymorphisms behind migraine with and without depression. PLoS ONE. 16(12). e0261477–e0261477. 12 indexed citations
11.
Eszlári, Nóra, Gábor Hullám, Péter Petschner, et al.. (2021). Biology of Perseverative Negative Thinking: The Role of Timing and Folate Intake. Nutrients. 13(12). 4396–4396. 6 indexed citations
12.
Gonda, Xénia, Nóra Eszlári, Dóra Török, et al.. (2021). Genetic underpinnings of affective temperaments: a pilot GWAS investigation identifies a new genome-wide significant SNP for anxious temperament in ADGRB3 gene. Translational Psychiatry. 11(1). 337–337. 13 indexed citations
13.
Bokor, J, Dóra Török, Zsófia Gál, et al.. (2021). Inflamed Mind: Multiple Genetic Variants of IL6 Influence Suicide Risk Phenotypes in Interaction With Early and Recent Adversities in a Linkage Disequilibrium-Based Clumping Analysis. Frontiers in Psychiatry. 12. 746206–746206. 6 indexed citations
14.
Eszlári, Nóra, Péter Petschner, Xénia Gonda, et al.. (2019). Genome-wide association analysis reveals KCTD12 and miR-383-binding genes in the background of rumination. Translational Psychiatry. 9(1). 119–119. 18 indexed citations
15.
Gonda, Xénia, Gábor Hullám, Péter Antal, et al.. (2018). Significance of risk polymorphisms for depression depends on stress exposure. Scientific Reports. 8(1). 3946–3946. 45 indexed citations
16.
Gonda, Xénia, Péter Petschner, Nóra Eszlári, et al.. (2018). Genetic variants in major depressive disorder: From pathophysiology to therapy. Pharmacology & Therapeutics. 194. 22–43. 59 indexed citations
17.
Petschner, Péter, et al.. (2018). Downregulation of the Vitamin D Receptor Regulated Gene Set in the Hippocampus After MDMA Treatment. Frontiers in Pharmacology. 9. 1373–1373. 2 indexed citations
18.
19.
Gonda, Xénia, Jane Sarginson, Nóra Eszlári, et al.. (2017). A new stress sensor and risk factor for suicide: the T allele of the functional genetic variant in the GABRA6 gene. Scientific Reports. 7(1). 12887–12887. 15 indexed citations
20.
Eszlári, Nóra, Péter Petschner, Dorottya Pap, et al.. (2016). Effects of IL1B single nucleotide polymorphisms on depressive and anxiety symptoms are determined by severity and type of life stress. Brain Behavior and Immunity. 56. 96–104. 44 indexed citations

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.

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