Chantal Beekman

1.1k citations
6 papers · 883 indexed · 1 hit paper · h-index 6
Topics
Cancer-related Molecular Pathways (2 papers)RNA modifications and cancer (1 paper)Nanocluster Synthesis and Applications (1 paper)
Partner nations
NetherlandsBelgiumItaly

In The Last Decade

Chantal Beekman

6 papers receiving 874 citations

Hit Papers

The Polycomb group proteins bind throughout the INK4A-ARF...20072026201320192007200400600

Peers

Chantal Beekman
Comparison fields: 5 of 75
  • Molecular Biology 743
  • Physiology 181
  • Oncology 161
  • Cancer Research 125
  • Genetics 70
Replace Daniela Kleine‐Kohlbrecher with:
Daniela Kleine‐Kohlbrecher Denmark
Jotaro Suzuki Japan
Brad J. Zerlanko United States
Kanae Mitsunaga Japan
Sergio Ménendez United Kingdom
Henia Darr United States
Egle Balciunaite United States
Zeynep Fırtına Karagonlar Türkiye
Senquan Liu China
Daniel Mahony United States
Chantal Beekman relative to Daniela Kleine‐Kohlbrecher Denmark Daniela Kleine‐Kohlbrecher's profile →
Citations per field
00.5×1.5×
Daniela Kleine‐Kohlbrecher · 1×
Citations per year

Countries citing papers authored by Chantal Beekman

Since Specialization
Citations

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

Fields of papers citing papers by Chantal Beekman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chantal Beekman

This figure shows the co-authorship network connecting the top 25 collaborators of Chantal Beekman. A scholar is included among the top collaborators of Chantal Beekman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chantal Beekman. Chantal Beekman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1
Multispectral visualization of surgical safety-margins using fluorescent marker seeds.
20
2 13
3 34
4
The Polycomb group proteins bind throughout the INK4A-ARF locus and are disassociated in senescent cellsbreakdown →
689
5 95
6 32

About Chantal Beekman

Chantal Beekman is a scholar working on Oncology, Molecular Biology and Polymers and Plastics, having authored 6 papers that have together received 883 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (2 papers), RNA modifications and cancer (1 paper) and Nanocluster Synthesis and Applications (1 paper). The work is most often cited by research in Aging (47 citations), Molecular Biology (743 citations) and Cancer Research (125 citations). Chantal Beekman has collaborated with scholars based in Netherlands, Belgium and Italy. Frequent co-authors include Jean‐Christophe Marine, Klaus Hansen, Kristian Helin, Diego Pasini, Kim Theilgaard‐Mönch, Gaetano Gargiulo, Adrian P. Bracken, Daniela Kleine‐Kohlbrecher, Bo Porse and Nikolaj Dietrich. Their work appears in journals such as Genes & Development, The EMBO Journal and Molecular and Cellular 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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