Máté Varga
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Epidemiology top 2%
- Autophagy in Disease and Therapy
Papers in
- Cell Biology 13
- Zebrafish Biomedical Research Applications 10
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- Developmental Biology and Gene Regulation 8
- RNA modifications and cancer 4
- DNA Repair Mechanisms 3
- RNA and protein synthesis mechanisms 2
- Co-authors
- Eric S. Weinberg (4 shared papers)Tibor Vellai (9 shared papers)András Málnási‐Csizmadia (4 shared papers)Miklós Képiró (3 shared papers)Boglárka H. Várkuti (3 shared papers)György Hegyi (2 shared papers)Gianfranco Bellipanni (2 shared papers)Erika Fodor (5 shared papers)
- Journals
- Zebrafish (3 papers)Frontiers in Cell and Developmental Biology (3 papers)Scientific Reports (2 papers)Development (2 papers)Autophagy (2 papers)
- Partner nations
- HungaryUnited KingdomUnited States
In The Last Decade
Máté Varga
47 papers receiving 3.1k citations
Máté Varga's Hit Papers
Peers
Comparison fields: 5 of 139
- Aging 67
- Epidemiology 1.2k
- Cell Biology 339
- Molecular Biology 839
- Developmental Neuroscience 23
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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1 Hit paper breakdown → | 2021 | 2067 |
| 2 | 2006 | 126 | |
| 3 | 2016 | 96 | |
| 4 | 2014 | 93 | |
| 5 | 2013 | 79 | |
| 6 | 2013 | 71 | |
| 7 | 2015 | 54 | |
| 8 | 2020 | 46 | |
| 9 | 2006 | 45 | |
| 10 | 2014 | 42 | |
| 11 | 2019 | 36 | |
| 12 | 2011 | 35 | |
| 13 | 2018 | 32 | |
| 14 | 2007 | 29 | |
| 15 | 2021 | 27 | |
| 16 | 2016 | 20 | |
| 17 | 2021 | 20 | |
| 18 | 2018 | 19 | |
| 19 | 2023 | 19 | |
| 20 | 2011 | 18 |
About Máté Varga
Máté Varga is a scholar working on Cell Biology, Molecular Biology, Epidemiology, History and Philosophy of Science and Biomaterials, having authored 51 papers that have together received 3.2k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (10 papers), Autophagy in Disease and Therapy (8 papers), Developmental Biology and Gene Regulation (8 papers), RNA modifications and cancer (4 papers), DNA Repair Mechanisms (3 papers), Photochromic and Fluorescence Chemistry (3 papers), Evolution and Science Education (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Aging (67 citations), Epidemiology (1.2k citations), Cell Biology (339 citations), Molecular Biology (839 citations) and Developmental Neuroscience (23 citations). Máté Varga has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include Eric S. Weinberg, Tibor Vellai, András Málnási‐Csizmadia, Miklós Képiró, Boglárka H. Várkuti, György Hegyi, Gianfranco Bellipanni, Erika Fodor, William S. Talbot and Andrea Pomrehn Myers. Their work appears in journals such as Zebrafish, Frontiers in Cell and Developmental Biology, Scientific Reports, Development and Autophagy.
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.