Róbert Farkas
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Immunology
- Cell Biology top 10%
- Genetics
- Co-authors
- Léonard RabinowYun BaiBernard M. MechlerK. SlámaOlga ÉsikAndrás FalusJ KnoppTünde Szatmári
- Topics
- Neurobiology and Insect Physiology Research (28 papers)Heat shock proteins research (9 papers)Invertebrate Immune Response Mechanisms (9 papers)
- Partner nations
- SlovakiaHungaryUnited States
In The Last Decade
Róbert Farkas
82 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 490
- Cellular and Molecular Neuroscience 234
- Immunology 160
- Cell Biology 126
- Genetics 126
Countries citing papers authored by Róbert Farkas
This map shows the geographic impact of Róbert Farkas'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 Farkas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Róbert Farkas more than expected).
Fields of papers citing papers by Róbert Farkas
This network shows the impact of papers produced by Róbert Farkas. 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 Farkas. The network helps show where Róbert Farkas may publish in the future.
Co-authorship network of co-authors of Róbert Farkas
This figure shows the co-authorship network connecting the top 25 collaborators of Róbert Farkas. A scholar is included among the top collaborators of Róbert Farkas 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 Farkas. Róbert Farkas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 27 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 36 | |
| 9 | Single dose irradiation of defined region of rat brain with stereotactic brainlab system. | 1 |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 32 | |
| 14 | Multisegmented radiation therapy as an alternative to 3D conformal radiation therapy, with special reference to breast cancer tangential fields | 1 |
| 15 | 43 | |
| 16 | 20 | |
| 17 | 117 | |
| 18 | Steroid regulation of terminal protein glycosyltransferase genes: molecular and functional homologies within sialyltransferase and fucosyltransferase families. | 9 |
| 19 | 10 | |
| 20 | 12 |
About Róbert Farkas
Róbert Farkas is a scholar working on Cellular and Molecular Neuroscience, Radiation and Insect Science, having authored 83 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (28 papers), Heat shock proteins research (9 papers) and Invertebrate Immune Response Mechanisms (9 papers). The work is most often cited by research in Aging (23 citations), Cellular and Molecular Neuroscience (234 citations) and Insect Science (111 citations). Róbert Farkas has collaborated with scholars based in Slovakia, Hungary and United States. Frequent co-authors include Léonard Rabinow, Yun Bai, Bernard M. Mechler, K. Sláma, Olga Ésik, András Falus, J Knopp, Tünde Szatmári, Katalin Lumniczky and Géza Sáfrány. Their work appears in journals such as Journal of Biological Chemistry, Genes & Development and PLoS ONE.
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.