Zsófia Gál
Impact in
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- Tryptophan and brain disorders
Papers in
- Genetics 12
- Genetic Associations and Epidemiology 12
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- Tryptophan and brain disorders 4
- Co-authors
- Xénia Gonda (22 shared papers)Gabriella Juhász (23 shared papers)Péter Petschner (17 shared papers)György Bagdy (18 shared papers)András Gézsi (9 shared papers)Nóra Eszlári (16 shared papers)Csaba Szalai (6 shared papers)Adrienne Nagy (5 shared papers)
- Journals
- Frontiers in Psychiatry (3 papers)Scientific Reports (3 papers)Translational Psychiatry (3 papers)International Journal of Molecular Sciences (2 papers)European Neuropsychopharmacology (2 papers)
- Partner nations
- HungaryUnited KingdomJapan
In The Last Decade
Zsófia Gál
31 papers receiving 272 citations
Peers
Comparison fields: 5 of 55
- Biological Psychiatry 13
- Behavioral Neuroscience 11
- Physiology 12
- Psychiatry and Mental health 37
- Physiology 49
Countries citing papers authored by Zsófia Gál
This map shows the geographic impact of Zsófia Gál'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 Zsófia Gál with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zsófia Gál more than expected).
Fields of papers citing papers by Zsófia Gál
This network shows the impact of papers produced by Zsófia Gál. 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 Zsófia Gál. The network helps show where Zsófia Gál may publish in the future.
Co-authors
The 25 scholars most cited alongside Zsófia Gál, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 32 | |
| 2 | 2020 | 30 | |
| 3 | 2019 | 26 | |
| 4 | 2017 | 25 | |
| 5 | 2022 | 25 | |
| 6 | 2020 | 23 | |
| 7 | 2021 | 13 | |
| 8 | 2021 | 11 | |
| 9 | 2024 | 11 | |
| 10 | [Anxiety and depression - the role of blood-brain barrier integrity]. | 2019 | 10 |
| 11 | 2020 | 9 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2018 | 5 | |
| 15 | 2020 | 5 | |
| 16 | Transcriptomic changes following chronic administration of selective serotonin reuptake inhibitors: a review of animal studies. | 2019 | 4 |
| 17 | 2020 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2024 | 3 |
About Zsófia Gál
Zsófia Gál is a scholar working on Genetics, Biological Psychiatry, Behavioral Neuroscience, Pharmacology and Clinical Psychology, having authored 32 papers that have together received 278 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (12 papers), Suicide and Self-Harm Studies (5 papers), Asthma and respiratory diseases (5 papers), Tryptophan and brain disorders (4 papers), Stress Responses and Cortisol (4 papers), Treatment of Major Depression (4 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Migraine and Headache Studies (2 papers). The work is most often cited by research in Biological Psychiatry (13 citations), Behavioral Neuroscience (11 citations), Physiology (12 citations), Psychiatry and Mental health (37 citations) and Physiology (49 citations). Zsófia Gál has collaborated with scholars based in Hungary, United Kingdom and Japan. Frequent co-authors include Xénia Gonda, Gabriella Juhász, Péter Petschner, György Bagdy, András Gézsi, Nóra Eszlári, Csaba Szalai, Adrienne Nagy, Ian Muir Anderson and John Deakin. Their work appears in journals such as Frontiers in Psychiatry, Scientific Reports, Translational Psychiatry, International Journal of Molecular Sciences and European Neuropsychopharmacology.
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.