Gergely Berta
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
- Orthodontics top 10%
Papers in
-
- Receptor Mechanisms and Signaling 5
- Immunology 14
- Reproductive System and Pregnancy 4
- IL-33, ST2, and ILC Pathways 4
- Co-authors
- Júlia Szekeres‐Barthó (4 shared papers)Ferenc Boldizsár (4 shared papers)Tímea Berki (3 shared papers)Pèter Németh (3 shared papers)György Sétáló (8 shared papers)Melinda Halász (2 shared papers)Balázs Gaszner (13 shared papers)Beáta Polgár (2 shared papers)
- Journals
- International Journal of Molecular Sciences (5 papers)The Journal of Immunology (4 papers)Scientific Reports (3 papers)Frontiers in Cell and Developmental Biology (3 papers)Journal of Reproductive Immunology (3 papers)
- Partner nations
- HungaryUnited StatesGermany
In The Last Decade
Gergely Berta
48 papers receiving 630 citations
Peers
Comparison fields: 5 of 97
- Behavioral Neuroscience 37
- Orthodontics 28
- Sensory Systems 32
- Immunology 133
- Biological Psychiatry 15
Countries citing papers authored by Gergely Berta
This map shows the geographic impact of Gergely Berta'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 Gergely Berta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gergely Berta more than expected).
Fields of papers citing papers by Gergely Berta
This network shows the impact of papers produced by Gergely Berta. 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 Gergely Berta. The network helps show where Gergely Berta may publish in the future.
Co-authors
The 25 scholars most cited alongside Gergely Berta, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 60 | |
| 2 | 2013 | 49 | |
| 3 | 2009 | 48 | |
| 4 | 2017 | 45 | |
| 5 | 2017 | 43 | |
| 6 | 2019 | 27 | |
| 7 | 2019 | 25 | |
| 8 | 2022 | 22 | |
| 9 | 2016 | 22 | |
| 10 | 2013 | 20 | |
| 11 | 2013 | 19 | |
| 12 | 2017 | 18 | |
| 13 | 2019 | 16 | |
| 14 | 2022 | 16 | |
| 15 | 2012 | 15 | |
| 16 | 2023 | 14 | |
| 17 | 2020 | 14 | |
| 18 | 2021 | 11 | |
| 19 | 2023 | 10 | |
| 20 | 2022 | 10 |
About Gergely Berta
Gergely Berta is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Physiology and Behavioral Neuroscience, having authored 53 papers that have together received 635 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (7 papers), Neuropeptides and Animal Physiology (7 papers), Receptor Mechanisms and Signaling (5 papers), Adipose Tissue and Metabolism (5 papers), Reproductive System and Pregnancy (4 papers), IL-33, ST2, and ILC Pathways (4 papers), Ion Channels and Receptors (4 papers) and Tryptophan and brain disorders (4 papers). The work is most often cited by research in Behavioral Neuroscience (37 citations), Orthodontics (28 citations), Sensory Systems (32 citations), Immunology (133 citations) and Biological Psychiatry (15 citations). Gergely Berta has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Júlia Szekeres‐Barthó, Ferenc Boldizsár, Tímea Berki, Pèter Németh, György Sétáló, Melinda Halász, Balázs Gaszner, Beáta Polgár, Ákos Koller and Ágnes Bogdán. Their work appears in journals such as International Journal of Molecular Sciences, The Journal of Immunology, Scientific Reports, Frontiers in Cell and Developmental Biology and Journal of Reproductive Immunology.
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.