Tomáš Vinař
Impact in
- Developmental Biology top 5%
- Genetics top 10%
- Genetic diversity and population structure
- Evolution and Genetic Dynamics
Papers in
-
- Genomics and Phylogenetic Studies 22
- RNA and protein synthesis mechanisms 10
- Machine Learning in Bioinformatics 6
- Yeasts and Rust Fungi Studies 5
- Fungal and yeast genetics research 4
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- Algorithms and Data Compression 10
- Co-authors
- Broňa Brejová (40 shared papers)Adam Siepel (5 shared papers)Carolin Kosiol (3 shared papers)Rute R. da Fonseca (2 shared papers)Rasmus Nielsen (2 shared papers)Carlos D. Bustamante (2 shared papers)Melissa J. Hubisz (1 shared paper)Vladimír Boža (3 shared papers)
- Journals
- Bioinformatics (4 papers)Journal of Computational Biology (3 papers)Algorithms for Molecular Biology (3 papers)PLoS ONE (3 papers)Theoretical Computer Science (3 papers)
- Partner nations
- SlovakiaUnited StatesCanada
In The Last Decade
Tomáš Vinař
51 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 128
- Developmental Biology 40
- Genetics 296
- Molecular Biology 683
- Ecology 216
- Virology 22
Countries citing papers authored by Tomáš Vinař
This map shows the geographic impact of Tomáš Vinař'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 Tomáš Vinař with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomáš Vinař more than expected).
Fields of papers citing papers by Tomáš Vinař
This network shows the impact of papers produced by Tomáš Vinař. 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 Tomáš Vinař. The network helps show where Tomáš Vinař may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomáš Vinař, 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 | 2008 | 420 | |
| 2 | 2016 | 183 | |
| 3 | 2017 | 157 | |
| 4 | 2011 | 55 | |
| 5 | 2013 | 55 | |
| 6 | 2014 | 49 | |
| 7 | 2012 | 42 | |
| 8 | 2004 | 37 | |
| 9 | 2009 | 33 | |
| 10 | 2005 | 32 | |
| 11 | 2005 | 31 | |
| 12 | 2021 | 20 | |
| 13 | 2021 | 19 | |
| 14 | 2013 | 18 | |
| 15 | 2018 | 16 | |
| 16 | 2020 | 15 | |
| 17 | 2021 | 15 | |
| 18 | 2019 | 13 | |
| 19 | 2007 | 12 | |
| 20 | 2007 | 12 |
About Tomáš Vinař
Tomáš Vinař is a scholar working on Molecular Biology, Artificial Intelligence, Plant Science, Genetics and Ecology, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (22 papers), Algorithms and Data Compression (10 papers), RNA and protein synthesis mechanisms (10 papers), Machine Learning in Bioinformatics (6 papers), Yeasts and Rust Fungi Studies (5 papers), Chromosomal and Genetic Variations (5 papers), Fungal and yeast genetics research (4 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Developmental Biology (40 citations), Genetics (296 citations), Molecular Biology (683 citations), Ecology (216 citations) and Virology (22 citations). Tomáš Vinař has collaborated with scholars based in Slovakia, United States and Canada. Frequent co-authors include Broňa Brejová, Adam Siepel, Carolin Kosiol, Rute R. da Fonseca, Rasmus Nielsen, Carlos D. Bustamante, Melissa J. Hubisz, Vladimír Boža, Daniel G. Brown and Jozef Nosek. Their work appears in journals such as Bioinformatics, Journal of Computational Biology, Algorithms for Molecular Biology, PLoS ONE and Theoretical Computer Science.
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.