Tamäs J. Görcs
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 10%
- Cognitive Neuroscience top 2%
- Endocrine and Autonomic Systems top 1%
- Social Psychology top 5%
- Co-authors
- Tamás F. FreundLászló AcsádyAN van den PolAttila I. GulyásAkira ArimuraAnthony N. van den PolPaul E. GottschallFerenc Gallyas
- Topics
- Neuroscience and Neuropharmacology Research (18 papers)Neuropeptides and Animal Physiology (16 papers)Hypothalamic control of reproductive hormones (6 papers)
- Cited by
- Cellular and Molecular NeuroscienceDevelopmental NeuroscienceEndocrine and Autonomic Systems
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceThe Journal of Comparative Neurology
- Partner nations
- HungaryUnited StatesGermany
In The Last Decade
Tamäs J. Görcs
53 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 111
- Cellular and Molecular Neuroscience 2.3k
- Molecular Biology 1.1k
- Cognitive Neuroscience 811
- Endocrine and Autonomic Systems 454
- Social Psychology 421
Countries citing papers authored by Tamäs J. Görcs
This map shows the geographic impact of Tamäs J. Görcs'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 Tamäs J. Görcs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamäs J. Görcs more than expected).
Fields of papers citing papers by Tamäs J. Görcs
This network shows the impact of papers produced by Tamäs J. Görcs. 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 Tamäs J. Görcs. The network helps show where Tamäs J. Görcs may publish in the future.
Co-authorship network of co-authors of Tamäs J. Görcs
This figure shows the co-authorship network connecting the top 25 collaborators of Tamäs J. Görcs. A scholar is included among the top collaborators of Tamäs J. Görcs 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 Tamäs J. Görcs. Tamäs J. Görcs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 39 | |
| 3 | 1 | |
| 4 | 41 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 35 | |
| 8 | 49 | |
| 9 | 13 | |
| 10 | 260 | |
| 11 | 94 | |
| 12 | 17 | |
| 13 | 86 | |
| 14 | 34 | |
| 15 | 73 | |
| 16 | 13 | |
| 17 | 6 | |
| 18 | 289 | |
| 19 | 214 | |
| 20 | 97 |
About Tamäs J. Görcs
Tamäs J. Görcs is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Behavioral Neuroscience, having authored 53 papers that have together received 3.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (18 papers), Neuropeptides and Animal Physiology (16 papers) and Hypothalamic control of reproductive hormones (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.3k citations), Developmental Neuroscience (282 citations) and Endocrine and Autonomic Systems (454 citations). Tamäs J. Görcs has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Tamás F. Freund, László Acsády, AN van den Pol, Attila I. Gulyás, Akira Arimura, Anthony N. van den Pol, Paul E. Gottschall, Ferenc Gallyas, Miklós Palkovits and Brenda D. Shivers. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and The Journal of Comparative Neurology.
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.