József Gulyás
- Behavioral Neuroscience top 0.1%
- Endocrinology, Diabetes and Metabolism top 2%
- Social Psychology top 2%
- Molecular Biology top 10%
- Physiology top 5%
- Co-authors
- Wylie ValeMarilyn H. PerrinJ. RivierJoan VaughanKoichi S. KunitakePaul E. SawchenkoTeresa M. ReyesKathleen Lewis
- Topics
- Stress Responses and Cortisol (13 papers)Hormonal Regulation and Hypertension (8 papers)Neuroendocrine regulation and behavior (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesHungarySwitzerland
In The Last Decade
József Gulyás
31 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Behavioral Neuroscience 1.8k
- Endocrinology, Diabetes and Metabolism 754
- Social Psychology 727
- Molecular Biology 696
- Physiology 542
Countries citing papers authored by József Gulyás
This map shows the geographic impact of József Gulyás'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 József Gulyás with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites József Gulyás more than expected).
Fields of papers citing papers by József Gulyás
This network shows the impact of papers produced by József Gulyás. 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 József Gulyás. The network helps show where József Gulyás may publish in the future.
Co-authorship network of co-authors of József Gulyás
This figure shows the co-authorship network connecting the top 25 collaborators of József Gulyás. A scholar is included among the top collaborators of József Gulyás 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 József Gulyás. József Gulyás is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 36 | |
| 3 | 6 | |
| 4 | 39 | |
| 5 | 26 | |
| 6 | 8 | |
| 7 | 34 | |
| 8 | 26 | |
| 9 | 15 | |
| 10 | 12 | |
| 11 | 42 | |
| 12 | 57 | |
| 13 | 83 | |
| 14 | 32 | |
| 15 | 10 | |
| 16 | 2 | |
| 17 | 15 | |
| 18 | 0 | |
| 19 | gamma-Glutamyltransferase in the brain and its role in formation of gamma-L-glutamyl-taurine. | 7 |
| 20 | 8 |
About József Gulyás
József Gulyás is a scholar working on Behavioral Neuroscience, Biological Psychiatry and Endocrinology, Diabetes and Metabolism, having authored 33 papers that have together received 2.6k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (13 papers), Hormonal Regulation and Hypertension (8 papers) and Neuroendocrine regulation and behavior (5 papers). The work is most often cited by research in Behavioral Neuroscience (1.8k citations), Biological Psychiatry (403 citations) and Endocrinology, Diabetes and Metabolism (754 citations). József Gulyás has collaborated with scholars based in United States, Hungary and Switzerland. Frequent co-authors include Wylie Vale, Marilyn H. Perrin, J. Rivier, Joan Vaughan, Koichi S. Kunitake, Paul E. Sawchenko, Teresa M. Reyes, Kathleen Lewis, Carlos Arias and John B. Hogenesch. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.