Pavel Moudrý
Impact in
- Oncology top 5%
- PARP inhibition in cancer therapy
- Cancer-related Molecular Pathways
- Molecular Biology top 10%
- DNA Repair Mechanisms
- RNA modifications and cancer
- Angiogenesis and VEGF in Cancer
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
Papers in
-
- DNA Repair Mechanisms 10
- Ubiquitin and proteasome pathways 3
- RNA modifications and cancer 3
- CRISPR and Genetic Engineering 3
- RNA and protein synthesis mechanisms 2
- Angiogenesis and VEGF in Cancer 2
- Oncology 8
- PARP inhibition in cancer therapy 4
- Cancer-related Molecular Pathways 3
- Co-authors
- Jiří Bártek (10 shared papers)Robert Strauss (3 shared papers)Apolinar Maya‐Mendoza (2 shared papers)Joanna Maria Merchut‐Maya (1 shared paper)Myunghee Lee (1 shared paper)Martin Mistrík (4 shared papers)Jiřina Bártková (5 shared papers)Jir̂í Bártek (3 shared papers)
In The Last Decade
Pavel Moudrý
18 papers receiving 1.3k citations
Pavel Moudrý's Hit Papers
Peers
Comparison fields: 5 of 84
- Oncology 484
- Molecular Biology 913
- Cancer Research 173
- Genetics 103
- Cell Biology 97
Countries citing papers authored by Pavel Moudrý
This map shows the geographic impact of Pavel Moudrý'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 Pavel Moudrý with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavel Moudrý more than expected).
Fields of papers citing papers by Pavel Moudrý
This network shows the impact of papers produced by Pavel Moudrý. 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 Pavel Moudrý. The network helps show where Pavel Moudrý may publish in the future.
Co-authors
The 25 scholars most cited alongside Pavel Moudrý, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | High speed of fork progression induces DNA replication stress and genomic instability Hit paper breakdown → | 2018 | 367 |
| 2 | 2012 | 332 | |
| 3 | 2019 | 142 | |
| 4 | 2009 | 83 | |
| 5 | 2012 | 80 | |
| 6 | 2016 | 62 | |
| 7 | 2011 | 58 | |
| 8 | 2016 | 45 | |
| 9 | 2017 | 32 | |
| 10 | 2017 | 30 | |
| 11 | 2021 | 21 | |
| 12 | 2012 | 21 | |
| 13 | 2015 | 16 | |
| 14 | 2010 | 15 | |
| 15 | 2022 | 12 | |
| 16 | 2024 | 8 | |
| 17 | 2022 | 4 | |
| 18 | 2025 | 1 |
About Pavel Moudrý
Pavel Moudrý is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Surgery and Hematology, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (10 papers), PARP inhibition in cancer therapy (4 papers), Ubiquitin and proteasome pathways (3 papers), Cancer-related Molecular Pathways (3 papers), RNA modifications and cancer (3 papers), CRISPR and Genetic Engineering (3 papers), RNA and protein synthesis mechanisms (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Oncology (484 citations), Molecular Biology (913 citations), Cancer Research (173 citations), Genetics (103 citations) and Cell Biology (97 citations). Pavel Moudrý has collaborated with scholars based in Czechia, Denmark and Sweden. Frequent co-authors include Jiří Bártek, Robert Strauss, Apolinar Maya‐Mendoza, Joanna Maria Merchut‐Maya, Myunghee Lee, Martin Mistrík, Jiřina Bártková, Jir̂í Bártek, Matthew Lacey and Zdeněk Hodný. Their work appears in journals such as Cell Cycle, The Journal of Cell Biology, Cell Death and Differentiation, Nature Communications and The Journal of Experimental Medicine.
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.