Gergely Róna
Impact in
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- DNA Repair Mechanisms
- Nuclear Structure and Function
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
Papers in
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- DNA Repair Mechanisms 9
- Genomics and Chromatin Dynamics 6
- RNA Research and Splicing 5
- Nuclear Structure and Function 5
- Ubiquitin and proteasome pathways 3
- RNA modifications and cancer 3
- Genetics 6
- Bacterial Genetics and Biotechnology 4
- Co-authors
- Beáta G. Vértessy (16 shared papers)Boštjan Kobe (3 shared papers)Mary Christie (2 shared papers)Michele Pagano (10 shared papers)Alastair G. Stewart (1 shared paper)Agnes A. S. Takeda (1 shared paper)K.M. Smith (1 shared paper)Jade K. Forwood (1 shared paper)
- Journals
- eLife (3 papers)Journal of Visualized Experiments (3 papers)Nucleic Acids Research (2 papers)Science Advances (2 papers)FEBS Journal (2 papers)
- Partner nations
- HungaryUnited StatesAustralia
In The Last Decade
Gergely Róna
30 papers receiving 745 citations
Peers
Comparison fields: 5 of 78
- Molecular Biology 548
- Infectious Diseases 84
- Cell Biology 76
- 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-authors
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
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 191 | |
| 2 | 2012 | 60 | |
| 3 | 2016 | 57 | |
| 4 | 2021 | 42 | |
| 5 | 2018 | 39 | |
| 6 | 2012 | 39 | |
| 7 | 2014 | 35 | |
| 8 | 2013 | 32 | |
| 9 | 2015 | 26 | |
| 10 | 2008 | 23 | |
| 11 | 2021 | 23 | |
| 12 | 2013 | 23 | |
| 13 | 2019 | 19 | |
| 14 | 2014 | 18 | |
| 15 | 2017 | 15 | |
| 16 | 2013 | 15 | |
| 17 | 2024 | 15 | |
| 18 | 2020 | 14 | |
| 19 | 2019 | 14 | |
| 20 | 2023 | 12 |
About Gergely Róna
Gergely Róna is a scholar working on Molecular Biology, Genetics, Cell Biology, Ecology and Oncology, having authored 31 papers that have together received 747 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (9 papers), Genomics and Chromatin Dynamics (6 papers), RNA Research and Splicing (5 papers), Nuclear Structure and Function (5 papers), Bacterial Genetics and Biotechnology (4 papers), Ubiquitin and proteasome pathways (3 papers), Bacteriophages and microbial interactions (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Molecular Biology (548 citations), Infectious Diseases (84 citations), Cell Biology (76 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, Michele Pagano, Alastair G. Stewart, Agnes A. S. Takeda, K.M. Smith, Jade K. Forwood, Marcos R.M. Fontes and Chiung-Wen Chang. Their work appears in journals such as eLife, Journal of Visualized Experiments, Nucleic Acids Research, Science Advances and FEBS Journal.
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.