Máté Borsos
Impact in
- Structural Biology top 10%
-
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- DNA Repair Mechanisms
- RNA Research and Splicing
- Nuclear Structure and Function
Papers in
-
- Genomics and Chromatin Dynamics 6
- Nuclear Structure and Function 4
- RNA Research and Splicing 3
- CRISPR and Genetic Engineering 2
- Epigenetics and DNA Methylation 2
- RNA Interference and Gene Delivery 2
- Genetics 4
- Virus-based gene therapy research 3
- Co-authors
- Kikuë Tachibana-Konwalski (3 shared papers)Jonathan G. Godwin (2 shared papers)Maria‐Elena Torres‐Padilla (2 shared papers)Déborah Bourc’his (2 shared papers)Paula Elaine Cohen (1 shared paper)Takayuki Hirota (1 shared paper)Kim L. de Luca (1 shared paper)Jop Kind (1 shared paper)
- Journals
- Current Biology (2 papers)Nature Biotechnology (1 paper)Nature (1 paper)Science Advances (1 paper)Cell Cycle (1 paper)
- Partner nations
- HungaryUnited StatesGermany
In The Last Decade
Máté Borsos
12 papers receiving 562 citations
Peers
Comparison fields: 5 of 54
- Structural Biology 15
- Molecular Biology 449
- Cell Biology 77
- Biophysics 25
- Aging 7
Countries citing papers authored by Máté Borsos
This map shows the geographic impact of Máté Borsos'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 Máté Borsos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Máté Borsos more than expected).
Fields of papers citing papers by Máté Borsos
This network shows the impact of papers produced by Máté Borsos. 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 Máté Borsos. The network helps show where Máté Borsos may publish in the future.
Co-authors
The 25 scholars most cited alongside Máté Borsos, 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 | 2019 | 102 | |
| 2 | 2016 | 98 | |
| 3 | 2019 | 79 | |
| 4 | 2016 | 61 | |
| 5 | 2015 | 48 | |
| 6 | 2023 | 42 | |
| 7 | 2013 | 38 | |
| 8 | 2013 | 35 | |
| 9 | 2015 | 27 | |
| 10 | 2014 | 20 | |
| 11 | 2025 | 10 | |
| 12 | 2014 | 7 |
About Máté Borsos
Máté Borsos is a scholar working on Molecular Biology, Genetics, Structural Biology, Biophysics and Nutrition and Dietetics, having authored 12 papers that have together received 567 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), Nuclear Structure and Function (4 papers), Virus-based gene therapy research (3 papers), RNA Research and Splicing (3 papers), CRISPR and Genetic Engineering (2 papers), Epigenetics and DNA Methylation (2 papers), RNA Interference and Gene Delivery (2 papers) and Reproductive Biology and Fertility (1 paper). The work is most often cited by research in Structural Biology (15 citations), Molecular Biology (449 citations), Cell Biology (77 citations), Biophysics (25 citations) and Aging (7 citations). Máté Borsos has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Kikuë Tachibana-Konwalski, Jonathan G. Godwin, Maria‐Elena Torres‐Padilla, Déborah Bourc’his, Paula Elaine Cohen, Takayuki Hirota, Kim L. de Luca, Jop Kind, Mitinori Saitou and Suzannah A. Williams. Their work appears in journals such as Current Biology, Nature Biotechnology, Nature, Science Advances and Cell Cycle.
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.