Jan Benada
Impact in
- Oncology top 10%
- Cancer-related Molecular Pathways
- PARP inhibition in cancer therapy
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
-
- DNA Repair Mechanisms 12
- CRISPR and Genetic Engineering 4
- Ubiquitin and proteasome pathways 3
- Epigenetics and DNA Methylation 2
- Genomics and Chromatin Dynamics 2
- Oncology 8
- Cancer-related Molecular Pathways 6
- Co-authors
- Libor Macůrek (6 shared papers)Kamila Burdová (4 shared papers)Petra Kleiblová (2 shared papers)Jiří Bártek (3 shared papers)René H. Medema (3 shared papers)Claus Storgaard Sørensen (8 shared papers)Patrick von Morgen (1 shared paper)Emile E. Voest (1 shared paper)
- Journals
- Cell Reports (2 papers)Cell Cycle (2 papers)iScience (1 paper)The Journal of Cell Biology (1 paper)JCI Insight (1 paper)
- Partner nations
- DenmarkCzechiaNetherlands
In The Last Decade
Jan Benada
14 papers receiving 587 citations
Peers
Comparison fields: 5 of 59
- Oncology 237
- Cell Biology 111
- Molecular Biology 446
- Cancer Research 85
- Aging 8
Countries citing papers authored by Jan Benada
This map shows the geographic impact of Jan Benada'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 Jan Benada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Benada more than expected).
Fields of papers citing papers by Jan Benada
This network shows the impact of papers produced by Jan Benada. 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 Jan Benada. The network helps show where Jan Benada may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Benada, 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 | 2013 | 115 | |
| 2 | 2015 | 91 | |
| 3 | 2016 | 60 | |
| 4 | 2015 | 58 | |
| 5 | 2020 | 53 | |
| 6 | 2022 | 49 | |
| 7 | 2013 | 41 | |
| 8 | 2022 | 37 | |
| 9 | 2017 | 33 | |
| 10 | 2023 | 18 | |
| 11 | 2022 | 16 | |
| 12 | 2023 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About Jan Benada
Jan Benada is a scholar working on Molecular Biology, Oncology, Cell Biology, Pathology and Forensic Medicine and Geriatrics and Gerontology, having authored 16 papers that have together received 591 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (12 papers), Cancer-related Molecular Pathways (6 papers), Microtubule and mitosis dynamics (5 papers), CRISPR and Genetic Engineering (4 papers), Ubiquitin and proteasome pathways (3 papers), Epigenetics and DNA Methylation (2 papers), Genomics and Chromatin Dynamics (2 papers) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Oncology (237 citations), Cell Biology (111 citations), Molecular Biology (446 citations), Cancer Research (85 citations) and Aging (8 citations). Jan Benada has collaborated with scholars based in Denmark, Czechia and Netherlands. Frequent co-authors include Libor Macůrek, Kamila Burdová, Petra Kleiblová, Jiří Bártek, René H. Medema, Claus Storgaard Sørensen, Patrick von Morgen, Emile E. Voest, Pavel Dundr and Valdemaras Petrosius. Their work appears in journals such as Cell Reports, Cell Cycle, iScience, The Journal of Cell Biology and JCI Insight.
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.