Jan Benada

903 citations
17 papers · 657 · h-index 11

Impact in

  • Oncology top 10%
    • Cancer-related Molecular Pathways
    • PARP inhibition in cancer therapy
  • Cell Biology top 10%
    • Microtubule and mitosis dynamics

Papers in

    • Cancer-related Molecular Pathways 6
    • PARP inhibition in cancer therapy 2
    • Microtubule and mitosis dynamics 5

Jan Benada

16 papers receiving 654 citations

Peers

Jan Benada
Comparison fields: 5 of 62
  • Oncology 259
  • Cell Biology 119
  • Molecular Biology 482
  • Cancer Research 92
  • Aging 9
Replace Thomas Schleker with:
Thomas Schleker Switzerland
Allison M.L. Nixon Canada
Jessica L. Vieusseux Australia
Sabine Rottmann Germany
Calvina Kek Singapore
Julia M. Fraile Spain
David H. Randle United States
Christina Schülein‐Völk Germany
Paula Gutierrez‐Martinez Spain
Caroline C. Farrington United States
Jan Benada relative to Thomas Schleker Switzerland Thomas Schleker's profile →
Citations per field
00.5×2×3×4×4.6×
Thomas Schleker · 1×
Citations per year

Countries citing papers authored by Jan Benada

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

17 of 17 papers shown
#Work
1 2013135
2 201593
3 201664
4 201563
5 202257
6 202054
7 202243
8 201342
9 201736
10 202326
11 202217
12 20219
13 20238
14 20226
15 20193
16 20251
17 20250

About Jan Benada

Jan Benada is a scholar working on Oncology, Cell Biology, Molecular Biology, Geriatrics and Gerontology and Cancer Research, having authored 17 papers that have together received 657 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (13 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), Genomics and Chromatin Dynamics (2 papers), PARP inhibition in cancer therapy (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Oncology (259 citations), Cell Biology (119 citations), Molecular Biology (482 citations), Cancer Research (92 citations) and Aging (9 citations). Jan Benada has collaborated with scholars based in Denmark, Czechia and Netherlands. Frequent co-authors include Libor Macůrek, Kamila Burdová, Petra Kleiblová, Claus Smed Sörensen, René H. Medema, Jiri Bartek, Patrick von Morgen, Valdemaras Petrosius, Petr Pohlreich and Pavel Dundr. Their work appears in journals such as Cell Reports, Cell Cycle, iScience, Journal of Clinical Investigation and The Journal of 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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