Martin Modrák
Impact in
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- Genetic and Kidney Cyst Diseases
- Genetic Syndromes and Imprinting
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- Hedgehog Signaling Pathway Studies
- Renal and related cancers
- Gut microbiota and health
- Bacterial biofilms and quorum sensing
- RNA Research and Splicing
Papers in
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- RNA and protein synthesis mechanisms 4
- RNA Research and Splicing 2
- RNA modifications and cancer 2
- Genetics 4
- Bacterial Genetics and Biotechnology 1
- Co-authors
- Veronika Niederlová (2 shared papers)Martina Huranová (1 shared paper)Ondřej Štěpánek (2 shared papers)Oksana Tsyklauri (1 shared paper)Aki Vehtari (2 shared papers)Jiří Vohradský (1 shared paper)Olga Kofroňová (1 shared paper)Jiří Kaňka (1 shared paper)
In The Last Decade
Martin Modrák
15 papers receiving 244 citations
Peers
Comparison fields: 5 of 80
- Genetics 100
- Molecular Biology 138
- Microbiology 8
- General Decision Sciences 2
- Cancer Research 14
Countries citing papers authored by Martin Modrák
This map shows the geographic impact of Martin Modrák'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 Martin Modrák with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Modrák more than expected).
Fields of papers citing papers by Martin Modrák
This network shows the impact of papers produced by Martin Modrák. 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 Martin Modrák. The network helps show where Martin Modrák may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin Modrák, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 83 | |
| 2 | 2020 | 37 | |
| 3 | 2020 | 28 | |
| 4 | 2021 | 22 | |
| 5 | 2023 | 18 | |
| 6 | 2021 | 10 | |
| 7 | 2022 | 9 | |
| 8 | 2021 | 9 | |
| 9 | 2018 | 8 | |
| 10 | 2024 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2020 | 3 | |
| 13 | 2017 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2026 | 0 | |
| 18 | 2026 | 0 | |
| 19 | 2026 | 0 | |
| 20 | 2025 | 0 |
About Martin Modrák
Martin Modrák is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Surgery and Ecology, having authored 21 papers that have together received 244 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), interferon and immune responses (2 papers), RNA Research and Splicing (2 papers), Cystic Fibrosis Research Advances (2 papers), Bacteriophages and microbial interactions (2 papers), RNA modifications and cancer (2 papers), Bacterial Genetics and Biotechnology (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Genetics (100 citations), Molecular Biology (138 citations), Microbiology (8 citations), General Decision Sciences (2 citations) and Cancer Research (14 citations). Martin Modrák has collaborated with scholars based in Czechia, Germany and Belarus. Frequent co-authors include Veronika Niederlová, Martina Huranová, Ondřej Štěpánek, Oksana Tsyklauri, Aki Vehtari, Jiří Vohradský, Olga Kofroňová, Jiří Kaňka, Hana Šanderová and Filip Horvat. Their work appears in journals such as Nature Communications, Nucleic Acids Research, Frontiers in Genetics, Journal of Neuroscience and mBio.
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.