Máté Virágh
Impact in
- Microbiology top 2%
- Antimicrobial Peptides and Activities
- Pharmacology top 5%
- Fungal Biology and Applications
- Microbial Natural Products and Biosynthesis
Papers in
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- Antimicrobial Peptides and Activities 7
-
- Fungal and yeast genetics research 17
- Protein Structure and Dynamics 1
- Co-authors
- László Galgóczy (12 shared papers)Csaba Vágvölgyi (9 shared papers)László G. Nagy (11 shared papers)Árpád Csernetics (7 shared papers)Tamás Papp (5 shared papers)Torda Varga (3 shared papers)Miklós Takó (2 shared papers)Zsolt Merényi (7 shared papers)
- Journals
- Cell Genomics (2 papers)Peptides (2 papers)mSystems (1 paper)Nature Communications (1 paper)Applied and Environmental Microbiology (1 paper)
- Partner nations
- HungaryUnited StatesAustria
In The Last Decade
Máté Virágh
25 papers receiving 750 citations
Peers
Comparison fields: 5 of 51
- Microbiology 185
- Pharmacology 143
- Molecular Biology 389
- Cell Biology 81
- Plant Science 161
Countries citing papers authored by Máté Virágh
This map shows the geographic impact of Máté Virágh'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 Virágh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Máté Virágh more than expected).
Fields of papers citing papers by Máté Virágh
This network shows the impact of papers produced by Máté Virágh. 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 Virágh. The network helps show where Máté Virágh may publish in the future.
Co-authors
The 25 scholars most cited alongside Máté Virágh, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 114 | |
| 2 | 2019 | 81 | |
| 3 | 2021 | 65 | |
| 4 | 2011 | 59 | |
| 5 | 2016 | 57 | |
| 6 | 2023 | 45 | |
| 7 | 2020 | 36 | |
| 8 | 2013 | 32 | |
| 9 | 2023 | 31 | |
| 10 | 2015 | 28 | |
| 11 | Evolutionary Morphogenesis of Sexual Fruiting Bodies in Basidiomycota: Toward a New Evo-Devo Synthesis | 2021 | 28 |
| 12 | 2022 | 27 | |
| 13 | 2012 | 25 | |
| 14 | 2017 | 25 | |
| 15 | 2022 | 23 | |
| 16 | 2012 | 21 | |
| 17 | 2011 | 18 | |
| 18 | 2024 | 10 | |
| 19 | 2024 | 10 | |
| 20 | 2012 | 5 |
About Máté Virágh
Máté Virágh is a scholar working on Microbiology, Molecular Biology, Cell Biology, Infectious Diseases and Insect Science, having authored 26 papers that have together received 756 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (17 papers), Antimicrobial Peptides and Activities (7 papers), Antifungal resistance and susceptibility (3 papers), Plant Pathogens and Fungal Diseases (3 papers), Enzyme-mediated dye degradation (1 paper), Microbial Natural Products and Biosynthesis (1 paper), Protein Structure and Dynamics (1 paper) and Forest Ecology and Biodiversity Studies (1 paper). The work is most often cited by research in Microbiology (185 citations), Pharmacology (143 citations), Molecular Biology (389 citations), Cell Biology (81 citations) and Plant Science (161 citations). Máté Virágh has collaborated with scholars based in Hungary, United States and Austria. Frequent co-authors include László Galgóczy, Csaba Vágvölgyi, László G. Nagy, Árpád Csernetics, Tamás Papp, Torda Varga, Miklós Takó, Zsolt Merényi, Botond Hegedüs and Zoltán Kele. Their work appears in journals such as Cell Genomics, Peptides, mSystems, Nature Communications and Applied and Environmental Microbiology.
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.