Kees Vreeken

846 citations
12 papers · 704 · h-index 10

Impact in

    • DNA Repair Mechanisms
    • Fungal and yeast genetics research
    • CRISPR and Genetic Engineering
    • Genomics and Chromatin Dynamics
    • Carcinogens and Genotoxicity Assessment

Papers in

    • DNA Repair Mechanisms 10
    • Genomics and Chromatin Dynamics 7
    • Fungal and yeast genetics research 5
    • Ubiquitin and proteasome pathways 2
    • CRISPR and Genetic Engineering 2
    • Plant Gene Expression Analysis 1
    • PARP inhibition in cancer therapy 2

Kees Vreeken

12 papers receiving 691 citations

Peers

Kees Vreeken
Comparison fields: 5 of 48
  • Molecular Biology 659
  • Cancer Research 111
  • Aging 9
  • Cell Biology 81
  • Oncology 92
Replace Stacey Broomfield with:
Stacey Broomfield Canada
Fumitoshi Onoda Japan
Peter Burkovics Hungary
Craig B. Bennett United States
Makiko Komata Japan
Marietta Y. Lee United States
Radhakrishnan Kanagaraj Switzerland
Vincent Pennaneach France
Kara A. Nyberg United States
Olga Tsaponina United States
Kees Vreeken relative to Stacey Broomfield Canada Stacey Broomfield's profile →
Citations per field
00.5×11×
Stacey Broomfield · 1×
Citations per year

Countries citing papers authored by Kees Vreeken

Since Specialization
Citations

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

Fields of papers citing papers by Kees Vreeken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1993144
2 199494
3 199690
4 201277
5 201976
6 199772
7 199764
8 200141
9 202129
10 202212
11 20214
12 20251

About Kees Vreeken

Kees Vreeken is a scholar working on Molecular Biology, Oncology, Genetics, Plant Science and Cancer Research, having authored 12 papers that have together received 704 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (10 papers), Genomics and Chromatin Dynamics (7 papers), Fungal and yeast genetics research (5 papers), Ubiquitin and proteasome pathways (2 papers), Bacterial Genetics and Biotechnology (2 papers), CRISPR and Genetic Engineering (2 papers), PARP inhibition in cancer therapy (2 papers) and Plant Gene Expression Analysis (1 paper). The work is most often cited by research in Molecular Biology (659 citations), Cancer Research (111 citations), Aging (9 citations), Cell Biology (81 citations) and Oncology (92 citations). Kees Vreeken has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include P.H.M. Lohman, Albert Pastink, Antony M. Carr, Alan R. Lehmann, Haico van Attikum, Johanne M. Murray, Kai Ostermann, Henning Schmidt, J.C.J. Eeken and José B.M. Zonneveld. Their work appears in journals such as Mutation Research/DNA Repair, Nature Communications, Science Advances, Current Genetics 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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