Balázs Szőke
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology top 10%
- Epidemiology
- Co-authors
- Andrew V. SchallyGeorge P. MiljanichA Fernández‐CruzM. F. ScanlonCarlos DiéguezFelipe F. CasanuevaJosé A. CabranesY. DIAZ
- Topics
- Growth Hormone and Insulin-like Growth Factors (11 papers)Ion channel regulation and function (9 papers)Chemical Synthesis and Analysis (7 papers)
- Cited by
- Cellular and Molecular NeuroscienceEndocrinology, Diabetes and MetabolismBehavioral Neuroscience
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Clinical Endocrinology & MetabolismBiochemistry
- Partner nations
- United StatesHungaryIsrael
In The Last Decade
Balázs Szőke
47 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 631
- Cellular and Molecular Neuroscience 421
- Endocrinology, Diabetes and Metabolism 338
- Physiology 223
- Epidemiology 207
Countries citing papers authored by Balázs Szőke
This map shows the geographic impact of Balázs Szőke'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 Balázs Szőke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Balázs Szőke more than expected).
Fields of papers citing papers by Balázs Szőke
This network shows the impact of papers produced by Balázs Szőke. 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 Balázs Szőke. The network helps show where Balázs Szőke may publish in the future.
Co-authorship network of co-authors of Balázs Szőke
This figure shows the co-authorship network connecting the top 25 collaborators of Balázs Szőke. A scholar is included among the top collaborators of Balázs Szőke 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 Balázs Szőke. Balázs Szőke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 14 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 10 | |
| 7 | 24 | |
| 8 | 14 | |
| 9 | 7 | |
| 10 | 22 | |
| 11 | 15 | |
| 12 | 8 | |
| 13 | 10 | |
| 14 | 18 | |
| 15 | 36 | |
| 16 | 5 | |
| 17 | 29 | |
| 18 | 166 | |
| 19 | 66 | |
| 20 | 17 |
About Balázs Szőke
Balázs Szőke is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience, having authored 48 papers that have together received 1.4k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (11 papers), Ion channel regulation and function (9 papers) and Chemical Synthesis and Analysis (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (421 citations), Endocrinology, Diabetes and Metabolism (338 citations) and Behavioral Neuroscience (56 citations). Balázs Szőke has collaborated with scholars based in United States, Hungary and Israel. Frequent co-authors include Andrew V. Schally, George P. Miljanich, A Fernández‐Cruz, M. F. Scanlon, Carlos Diéguez, Felipe F. Casanueva, José A. Cabranes, Y. DIAZ, Katalin Tarczy‐Hornoch and Luis Villanueva. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and Biochemistry.
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.