Jiri Bartek

2.6k citations
16 papers · 2.2k · h-index 14

Impact in

  • Oncology top 2%
    • Cancer-related Molecular Pathways
    • Microtubule and mitosis dynamics

Papers in

Jiri Bartek

15 papers receiving 2.1k citations

Peers

Jiri Bartek
Comparison fields: 5 of 78
  • Oncology 1.4k
  • Cell Biology 689
  • Molecular Biology 1.5k
  • Biotechnology 188
  • Cancer Research 244
Replace Lili Yamasaki with:
Lili Yamasaki United States
Harold Ivan Saavedra United States
Steve Coats United States
Pumin Zhang United States
Greg H. Enders United States
James Koh United States
Maria Starborg Sweden
Pedro Antonio Pérez-Mancera United Kingdom
Rónán C. O’Hagan United States
Micaela Quarto Italy
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Citations per field
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Citations per year

Countries citing papers authored by Jiri Bartek

Since Specialization
Citations

This map shows the geographic impact of Jiri Bartek'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 Jiri Bartek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiri Bartek more than expected).

Fields of papers citing papers by Jiri Bartek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiri Bartek. 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 Jiri Bartek. The network helps show where Jiri Bartek may publish in the future.

Co-authors

The 25 scholars most cited alongside Jiri Bartek, 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 Jiri Bartek Line = papers co-authored together Jiri Bartek links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1999403
2 1996342
3 1995322
4 1996249
5
Cyclin D1 protein oscillates and is essential for cell cycle progression in human tumour cell lines.
1994229
6 1997212
7 1995141
8 1997107
9 200058
10 200045
11 202344
12
p21WAF1/CIP1 mutants deficient in inhibiting cyclin-dependent kinases (CDKs) can promote assembly of active cyclin D/CDK4(6) complexes in human tumor cells.
199828
13 201825
14 200015
15 19964
16 20250

About Jiri Bartek

Jiri Bartek is a scholar working on Oncology, Cell Biology, Ophthalmology, Genetics and Genetics, having authored 16 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (12 papers), Microtubule and mitosis dynamics (4 papers), Ubiquitin and proteasome pathways (4 papers), Virus-based gene therapy research (2 papers), Ocular Oncology and Treatments (2 papers), Glioma Diagnosis and Treatment (2 papers), Testicular diseases and treatments (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Oncology (1.4k citations), Cell Biology (689 citations), Molecular Biology (1.5k citations), Biotechnology (188 citations) and Cancer Research (244 citations). Jiri Bartek has collaborated with scholars based in Denmark, Germany and Sweden. Frequent co-authors include Jiřina Bártková, Mike Strauss, Andrew M. Fry, Patrick Meraldi, Erich A. Nigg, Mikkel Rohde, Kristian Helin, Jiří Lukáš, Karin Holm and Birgit Otzen Petersen. Their work appears in journals such as Molecular and Cellular Biology, Nature Medicine, F1000Research, The Journal of Pathology and Current Opinion in Cell Biology.

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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