Libor Macůrek
Impact in
- Cell Biology top 0.5%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
- Oncology top 5%
- Cancer-related Molecular Pathways
Papers in
-
- DNA Repair Mechanisms 31
- Ubiquitin and proteasome pathways 12
- Epigenetics and DNA Methylation 4
- Oncology 28
- Cancer-related Molecular Pathways 23
- PARP inhibition in cancer therapy 4
- Co-authors
- René H. Medema (16 shared papers)Arne Lindqvist (10 shared papers)Marvin E. Tanenbaum (3 shared papers)Jan Benada (6 shared papers)Raimundo Freire (2 shared papers)Kamila Burdová (11 shared papers)Rob Klompmaker (1 shared paper)Michael B. Yaffe (1 shared paper)
- Journals
- Cells (5 papers)Cell Cycle (5 papers)Oncogene (4 papers)The EMBO Journal (3 papers)Biochemical Journal (2 papers)
- Partner nations
- CzechiaNetherlandsRussia
In The Last Decade
Libor Macůrek
52 papers receiving 2.9k citations
Libor Macůrek's Hit Papers
Peers
Comparison fields: 5 of 101
- Cell Biology 1.4k
- Oncology 840
- Molecular Biology 2.2k
- Aging 37
- Cancer Research 246
Countries citing papers authored by Libor Macůrek
This map shows the geographic impact of Libor Macůrek'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 Libor Macůrek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Libor Macůrek more than expected).
Fields of papers citing papers by Libor Macůrek
This network shows the impact of papers produced by Libor Macůrek. 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 Libor Macůrek. The network helps show where Libor Macůrek may publish in the future.
Co-authors
The 25 scholars most cited alongside Libor Macůrek, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Polo-like kinase-1 is activated by aurora A to promote checkpoint recovery Hit paper breakdown → | 2008 | 570 |
| 2 | 2009 | 228 | |
| 3 | 2011 | 140 | |
| 4 | 2008 | 137 | |
| 5 | 2020 | 122 | |
| 6 | 2010 | 121 | |
| 7 | 2013 | 115 | |
| 8 | 2011 | 110 | |
| 9 | 2015 | 91 | |
| 10 | 2013 | 87 | |
| 11 | 2012 | 82 | |
| 12 | 2006 | 62 | |
| 13 | 2011 | 62 | |
| 14 | 2009 | 61 | |
| 15 | 2016 | 60 | |
| 16 | 2015 | 58 | |
| 17 | 2008 | 48 | |
| 18 | 2018 | 47 | |
| 19 | 2017 | 47 | |
| 20 | 2004 | 47 |
About Libor Macůrek
Libor Macůrek is a scholar working on Molecular Biology, Oncology, Cell Biology, Genetics and Cancer Research, having authored 55 papers that have together received 2.9k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (31 papers), Microtubule and mitosis dynamics (24 papers), Cancer-related Molecular Pathways (23 papers), Ubiquitin and proteasome pathways (12 papers), Cellular transport and secretion (5 papers), PARP inhibition in cancer therapy (4 papers), Epigenetics and DNA Methylation (4 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Cell Biology (1.4k citations), Oncology (840 citations), Molecular Biology (2.2k citations), Aging (37 citations) and Cancer Research (246 citations). Libor Macůrek has collaborated with scholars based in Czechia, Netherlands and Russia. Frequent co-authors include René H. Medema, Arne Lindqvist, Marvin E. Tanenbaum, Jan Benada, Raimundo Freire, Kamila Burdová, Rob Klompmaker, Michael B. Yaffe, Stephen S. Taylor and Dan Lim. Their work appears in journals such as Cells, Cell Cycle, Oncogene, The EMBO Journal and Biochemical Journal.
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.