Robin Beekhof

414 citations
9 papers · 247 · h-index 8

Impact in

    • MicroRNA in disease regulation
    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • Acute Myeloid Leukemia Research

Papers in

    • Epigenetics and DNA Methylation 1
    • Glycosylation and Glycoproteins Research 1
    • Colorectal Cancer Treatments and Studies 2

Robin Beekhof

9 papers receiving 245 citations

Peers

Robin Beekhof
Comparison fields: 5 of 44
  • Cancer Research 68
  • Hematology 38
  • Spectroscopy 52
  • Molecular Biology 155
  • Oncology 50
Replace Björn Häupl with:
Björn Häupl Germany
Scott Wood Australia
Valentina Vurchio Italy
Giulia Franciosa Denmark
Yu Jia United States
Aarti Bashyal United States
Mahan Moshir Belgium
Nina Ånensen Norway
Chinmay Munje United Kingdom
Martin Klammer Germany
Robin Beekhof relative to Björn Häupl Germany Björn Häupl's profile →
Citations per field
00.5×
Björn Häupl · 1×
Citations per year

Countries citing papers authored by Robin Beekhof

Since Specialization
Citations

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

Fields of papers citing papers by Robin Beekhof

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 201959
2 201449
3 202031
4 201726
5 201626
6 201923
7 202319
8 202013
9 20231

About Robin Beekhof

Robin Beekhof is a scholar working on Molecular Biology, Oncology, Spectroscopy, Cancer Research and Hematology, having authored 9 papers that have together received 247 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), MicroRNA in disease regulation (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Acute Myeloid Leukemia Research (1 paper), Epigenetics and DNA Methylation (1 paper), Glycosylation and Glycoproteins Research (1 paper), Renal cell carcinoma treatment (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Cancer Research (68 citations), Hematology (38 citations), Spectroscopy (52 citations), Molecular Biology (155 citations) and Oncology (50 citations). Robin Beekhof has collaborated with scholars based in Netherlands, Italy and United States. Frequent co-authors include Sander R. Piersma, Thang V. Pham, Henk M.W. Verheul, Jaco C. Knol, Connie R. Jiménez, Mariëtte Labots, Alex A. Henneman, Andrea Bertotti, Livio Trusolino and Valentina Vurchio. Their work appears in journals such as Molecular & Cellular Proteomics, Cancers, Molecular Systems Biology, Clinical Proteomics and Science Translational Medicine.

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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