Libor Macůrek

4.0k citations
54 papers · 2.8k indexed · 1 hit paper · h-index 29
  • Cell Biology top 0.5%
    • Microtubule and mitosis dynamics 24
    • Cellular transport and secretion 5
  • Oncology top 5%
    • Cancer-related Molecular Pathways 24
    • PARP inhibition in cancer therapy 4
    • DNA Repair Mechanisms 32
    • Ubiquitin and proteasome pathways 14
    • Epigenetics and DNA Methylation 4
    • Genomics and Chromatin Dynamics 4
  • Aging top 10%

Libor Macůrek

52 papers receiving 2.8k citations

Hit Papers

Polo-like kinase-1 is activated by aurora A to promote ch...5632008202620142020100200300400500

Peers

Libor Macůrek
Comparison fields: 5 of 101
  • Cell Biology 1.3k
  • Oncology 885
  • Molecular Biology 2.2k
  • Aging 35
  • Cancer Research 286
Replace Henning F. Horn with:
Henning F. Horn United States
David Santamarı́a Spain
Scott R. Frank United States
Rob Klompmaker Netherlands
Eusebio Manchado United States
Guillermo de Cárcer Spain
Pengbo Zhou United States
Caretha L. Creasy United States
Qunyan Yu United States
Frank McCormick United States
Libor Macůrek relative to Henning F. Horn United States Henning F. Horn's profile →
Citations per field
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Henning F. Horn · 1×
Citations per year

Countries citing papers authored by Libor Macůrek

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Libor Macůrek Line = papers co-authored together Libor Macůrek links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 20238
3 20239
4 202313
5 20231
6 202211
7 20214
8 202134
9 202013
10 201936
11 201743
12 201731
13 201737
14 201526
15 201322
16 2011107
17 2011134
18 2010117
19 200661
20 200446

About Libor Macůrek

Libor Macůrek is a scholar working on Cell Biology, Oncology, Molecular Biology, Cancer Research and Physiology, having authored 54 papers that have together received 2.8k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (32 papers), Microtubule and mitosis dynamics (24 papers), Cancer-related Molecular Pathways (24 papers), Ubiquitin and proteasome pathways (14 papers), Cellular transport and secretion (5 papers), Epigenetics and DNA Methylation (4 papers), PARP inhibition in cancer therapy (4 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Cell Biology (1.3k citations), Oncology (885 citations), Molecular Biology (2.2k citations), Aging (35 citations) and Cancer Research (286 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, Michael A. Lampson, Stephen S. Taylor, Michael B. Yaffe and Dan Lim. Their work appears in journals such as Cells, Cell Cycle, Oncogene, The EMBO Journal and Scientific Reports.

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.

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