Gergely Róna
Impact in
-
- DNA Repair Mechanisms
- Nuclear Structure and Function
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Ubiquitin and proteasome pathways
Papers in
-
- DNA Repair Mechanisms 11
- Genomics and Chromatin Dynamics 7
- Nuclear Structure and Function 5
- RNA Research and Splicing 5
- RNA modifications and cancer 3
- Ubiquitin and proteasome pathways 3
- Co-authors
- Beáta G. VértessyBoštjan KobeMary ChristieAgnes A. S. TakedaAlastair G. StewartK.M. SmithMichele PaganoChiung-Wen Chang
- Journals
- Journal of Visualized Experiments (3 papers)eLife (3 papers)FEBS Journal (2 papers)Science Advances (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- HungaryUnited StatesAustralia
In The Last Decade
Gergely Róna
30 papers receiving 727 citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 565
- Cell Biology 79
- Infectious Diseases 86
- Genetics 97
- Virology 13
Countries citing papers authored by Gergely Róna
This map shows the geographic impact of Gergely Róna'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 Gergely Róna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gergely Róna more than expected).
Fields of papers citing papers by Gergely Róna
This network shows the impact of papers produced by Gergely Róna. 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 Gergely Róna. The network helps show where Gergely Róna may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gergely Róna, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 1 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 21 | |
| 7 | 2021 | 38 | |
| 8 | 2020 | 6 | |
| 9 | 2020 | 14 | |
| 10 | 2018 | 38 | |
| 11 | 2017 | 15 | |
| 12 | 2016 | 57 | |
| 13 | 2015 | 187 | |
| 14 | 2014 | 18 | |
| 15 | 2013 | 15 | |
| 16 | 2013 | 23 | |
| 17 | 2013 | 32 | |
| 18 | 2012 | 37 | |
| 19 | 2011 | 8 | |
| 20 | 2008 | 23 |
About Gergely Róna
Gergely Róna is a scholar working on Molecular Biology, Cell Biology, Biophysics, Genetics and Nutrition and Dietetics, having authored 30 papers that have together received 729 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (11 papers), Genomics and Chromatin Dynamics (7 papers), Nuclear Structure and Function (5 papers), RNA Research and Splicing (5 papers), Bacterial Genetics and Biotechnology (4 papers), Bacteriophages and microbial interactions (3 papers), RNA modifications and cancer (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Molecular Biology (565 citations), Cell Biology (79 citations), Infectious Diseases (86 citations), Genetics (97 citations) and Virology (13 citations). Gergely Róna has collaborated with scholars based in Hungary, United States and Australia. Frequent co-authors include Beáta G. Vértessy, Boštjan Kobe, Mary Christie, Agnes A. S. Takeda, Alastair G. Stewart, K.M. Smith, Michele Pagano, Chiung-Wen Chang, Jade K. Forwood and Murray Stewart. Their work appears in journals such as Journal of Visualized Experiments, eLife, FEBS Journal, Science Advances and Nucleic Acids 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.