Máté Varga
Impact in
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
- Aging top 10%
Papers in
-
- Developmental Biology and Gene Regulation 7
- Epigenetics and DNA Methylation 5
- DNA Repair Mechanisms 4
- CRISPR and Genetic Engineering 4
- Cell Biology 20
- Zebrafish Biomedical Research Applications 13
- Co-authors
- S. Maegawa (4 shared papers)Eric S. Weinberg (4 shared papers)Tibor Vellai (9 shared papers)Gábor Harsányi (2 shared papers)Attila Bonyár (3 shared papers)Hunor Sántha (2 shared papers)András Málnási‐Csizmadia (5 shared papers)Miklós Képiró (4 shared papers)
- Journals
- Frontiers in Cell and Developmental Biology (3 papers)Communications Biology (2 papers)Development (2 papers)Scientific Reports (2 papers)Sensors (2 papers)
- Partner nations
- HungaryUnited StatesUnited Kingdom
In The Last Decade
Máté Varga
57 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 134
- Cell Biology 316
- Aging 27
- Molecular Biology 543
- Physiology 30
- Epidemiology 177
Countries citing papers authored by Máté Varga
This map shows the geographic impact of Máté Varga'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 Varga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Máté Varga more than expected).
Fields of papers citing papers by Máté Varga
This network shows the impact of papers produced by Máté Varga. 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 Varga. The network helps show where Máté Varga may publish in the future.
Co-authors
The 25 scholars most cited alongside Máté Varga, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 122 | |
| 2 | 2010 | 116 | |
| 3 | 2014 | 88 | |
| 4 | 2016 | 87 | |
| 5 | 2013 | 79 | |
| 6 | 2013 | 68 | |
| 7 | 2016 | 54 | |
| 8 | 2015 | 49 | |
| 9 | 2006 | 46 | |
| 10 | 2012 | 44 | |
| 11 | 2014 | 41 | |
| 12 | 2019 | 36 | |
| 13 | 2011 | 34 | |
| 14 | 2018 | 30 | |
| 15 | 2007 | 29 | |
| 16 | 2016 | 20 | |
| 17 | 2018 | 19 | |
| 18 | 2012 | 18 | |
| 19 | 2011 | 18 | |
| 20 | 2018 | 15 |
About Máté Varga
Máté Varga is a scholar working on Molecular Biology, Cell Biology, Biomedical Engineering, Epidemiology and Physiology, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (13 papers), Developmental Biology and Gene Regulation (7 papers), Autophagy in Disease and Therapy (7 papers), Epigenetics and DNA Methylation (5 papers), DNA Repair Mechanisms (4 papers), Microfluidic and Bio-sensing Technologies (4 papers), CRISPR and Genetic Engineering (4 papers) and Neuroendocrine regulation and behavior (3 papers). The work is most often cited by research in Cell Biology (316 citations), Aging (27 citations), Molecular Biology (543 citations), Physiology (30 citations) and Epidemiology (177 citations). Máté Varga has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include S. Maegawa, Eric S. Weinberg, Tibor Vellai, Gábor Harsányi, Attila Bonyár, Hunor Sántha, András Málnási‐Csizmadia, Miklós Képiró, Boglárka H. Várkuti and György Hegyi. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Communications Biology, Development, Scientific Reports and Sensors.
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.