Máté Varga
Impact in
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
- Cellular Mechanics and Interactions
- Aging top 10%
Papers in
-
- Developmental Biology and Gene Regulation 7
- Epigenetics and DNA Methylation 5
- CRISPR and Genetic Engineering 4
- DNA Repair Mechanisms 4
- Wnt/β-catenin signaling in development and cancer 3
- Cell Biology 21
- Zebrafish Biomedical Research Applications 14
- Co-authors
- Eric S. Weinberg (4 shared papers)S. Maegawa (4 shared papers)Tibor Vellai (9 shared papers)Hunor Sántha (2 shared papers)Gábor Harsányi (2 shared papers)Attila Bonyár (3 shared papers)András Málnási‐Csizmadia (5 shared papers)Boglárka H. Várkuti (4 shared papers)
- Journals
- Frontiers in Cell and Developmental Biology (3 papers)Scientific Reports (2 papers)Journal of Experimental Zoology Part B Molecular and Developmental Evolution (2 papers)Communications Biology (2 papers)Sensors (2 papers)
- Partner nations
- HungaryUnited StatesUnited Kingdom
In The Last Decade
Máté Varga
54 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 133
- Cell Biology 306
- Aging 24
- Molecular Biology 539
- Physiology 27
- Automotive Engineering 70
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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 119 | |
| 2 | 2010 | 112 | |
| 3 | 2016 | 87 | |
| 4 | 2014 | 85 | |
| 5 | 2013 | 79 | |
| 6 | 2013 | 66 | |
| 7 | 2015 | 46 | |
| 8 | 2006 | 44 | |
| 9 | 2016 | 42 | |
| 10 | 2012 | 41 | |
| 11 | 2014 | 39 | |
| 12 | 2019 | 33 | |
| 13 | 2011 | 33 | |
| 14 | 2018 | 28 | |
| 15 | 2007 | 27 | |
| 16 | 2016 | 19 | |
| 17 | 2018 | 17 | |
| 18 | 2011 | 16 | |
| 19 | 2012 | 16 | |
| 20 | 2018 | 13 |
About Máté Varga
Máté Varga is a scholar working on Molecular Biology, Cell Biology, Biomedical Engineering, Epidemiology and Physiology, having authored 60 papers that have together received 1.1k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (14 papers), Autophagy in Disease and Therapy (7 papers), Developmental Biology and Gene Regulation (7 papers), Epigenetics and DNA Methylation (5 papers), CRISPR and Genetic Engineering (4 papers), DNA Repair Mechanisms (4 papers), Microfluidic and Bio-sensing Technologies (4 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). The work is most often cited by research in Cell Biology (306 citations), Aging (24 citations), Molecular Biology (539 citations), Physiology (27 citations) and Automotive Engineering (70 citations). Máté Varga has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Eric S. Weinberg, S. Maegawa, Tibor Vellai, Hunor Sántha, Gábor Harsányi, Attila Bonyár, András Málnási‐Csizmadia, Boglárka H. Várkuti, Miklós Képiró and György Hegyi. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Scientific Reports, Journal of Experimental Zoology Part B Molecular and Developmental Evolution, Communications Biology 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.