Zsófia Gál

26 papers receiving 246 citations

Peers

Zsófia Gál
Comparison fields: 5 of 61
  • Biological Psychiatry 40
  • Behavioral Neuroscience 20
  • Endocrine and Autonomic Systems 19
  • Neurology 19
  • Psychiatry and Mental health 32
Replace Géza Nagy with:
Géza Nagy Hungary
Baozhen Yao China
Tadasu Horai Japan
Xiaoyun Guo China
Nicole E. Kramer United States
Núria Villalmanzo Spain
Daniela Liśkiewicz Poland
Roshni Thakkar United States
D. Parshukova Russia
Angela Patatian France
Zsófia Gál relative to Géza Nagy Hungary Géza Nagy's profile →
Citations per field
00.5×3.3×
Géza Nagy · 1×
Citations per year

Countries citing papers authored by Zsófia Gál

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Zsófia Gál Line = papers co-authored together Zsófia Gál links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201931
2 202026
3 201925
4 201724
5 202224
6 202022
7 202113
8 202111
9
[Anxiety and depression - the role of blood-brain barrier integrity].
201910
10 20209
11 20218
12 20218
13 20185
14 20205
15 20234
16 20204
17
Transcriptomic changes following chronic administration of selective serotonin reuptake inhibitors: a review of animal studies.
20194
18 20243
19 20242
20 20252

About Zsófia Gál

Zsófia Gál is a scholar working on Biological Psychiatry, Physiology, Behavioral Neuroscience, Molecular Biology and Psychiatry and Mental health, having authored 30 papers that have together received 248 indexed citations. Recurring topics across this work include Tryptophan and brain disorders (11 papers), Stress Responses and Cortisol (6 papers), Asthma and respiratory diseases (4 papers), Adolescent and Pediatric Healthcare (3 papers), Bipolar Disorder and Treatment (2 papers), Migraine and Headache Studies (2 papers), GABA and Rice Research (2 papers) and Suicide and Self-Harm Studies (2 papers). The work is most often cited by research in Biological Psychiatry (40 citations), Behavioral Neuroscience (20 citations), Endocrine and Autonomic Systems (19 citations), Neurology (19 citations) and Psychiatry and Mental health (32 citations). Zsófia Gál has collaborated with scholars based in Hungary, United Kingdom and Japan. Frequent co-authors include Xénia Gonda, Gabriella Juhász, György Bagdy, Péter Petschner, Csaba Szalai, András Gézsi, Nóra Eszlári, J.F.W. Deakin, Ian Anderson and Nagy Adrienne. Their work appears in journals such as Frontiers in Psychiatry, Translational Psychiatry, Scientific Reports, European Neuropsychopharmacology and International Journal of Molecular 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.

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