Róbert Kiss
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Endocrinology, Diabetes and Metabolism top 10%
- Immunology
- Organic Chemistry
- Co-authors
- György M. KeserűFerenc SzalaiEdit GlázK. RáczPeter P. SayeskiAndrás FalusBéla NoszálBéla Viskolcz
- Topics
- Hormonal Regulation and Hypertension (14 papers)Receptor Mechanisms and Signaling (14 papers)Computational Drug Discovery Methods (8 papers)
- Cited by
- Computational Theory and MathematicsBehavioral NeuroscienceEndocrinology, Diabetes and Metabolism
- Partner nations
- HungaryUnited StatesUnited Kingdom
In The Last Decade
Róbert Kiss
59 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 124
- Molecular Biology 618
- Computational Theory and Mathematics 252
- Endocrinology, Diabetes and Metabolism 151
- Immunology 142
- Organic Chemistry 139
Countries citing papers authored by Róbert Kiss
This map shows the geographic impact of Róbert Kiss'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 Róbert Kiss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Róbert Kiss more than expected).
Fields of papers citing papers by Róbert Kiss
This network shows the impact of papers produced by Róbert Kiss. 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 Róbert Kiss. The network helps show where Róbert Kiss may publish in the future.
Co-authorship network of co-authors of Róbert Kiss
This figure shows the co-authorship network connecting the top 25 collaborators of Róbert Kiss. A scholar is included among the top collaborators of Róbert Kiss 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 Róbert Kiss. Róbert Kiss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 12 | |
| 4 | 8 | |
| 5 | 23 | |
| 6 | 7 | |
| 7 | 28 | |
| 8 | 46 | |
| 9 | 10 | |
| 10 | 13 | |
| 11 | 20 | |
| 12 | 32 | |
| 13 | 36 | |
| 14 | [Diagnosis and treatment outcome in primary aldosteronism based on a retrospective analysis of 187 cases]. | 1 |
| 15 | 20 | |
| 16 | 1 | |
| 17 | 9 | |
| 18 | 28 | |
| 19 | 5 | |
| 20 | 19 |
About Róbert Kiss
Róbert Kiss is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Computational Theory and Mathematics, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (14 papers), Receptor Mechanisms and Signaling (14 papers) and Computational Drug Discovery Methods (8 papers). The work is most often cited by research in Computational Theory and Mathematics (252 citations), Behavioral Neuroscience (43 citations) and Endocrinology, Diabetes and Metabolism (151 citations). Róbert Kiss has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include György M. Keserű, Ferenc Szalai, Edit Gláz, K. Rácz, Peter P. Sayeski, András Falus, Béla Noszál, Béla Viskolcz, Béla Kiss and Nicholas Willoughby. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Circulation Research.
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.