Robin Beekhof

405 total citations
9 papers, 241 citations indexed

About

Robin Beekhof is a scholar working on Molecular Biology, Oncology and Spectroscopy. According to data from OpenAlex, Robin Beekhof has authored 9 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Spectroscopy. Recurrent topics in Robin Beekhof's work include Advanced Proteomics Techniques and Applications (3 papers), Colorectal Cancer Treatments and Studies (2 papers) and MicroRNA in disease regulation (2 papers). Robin Beekhof is often cited by papers focused on Advanced Proteomics Techniques and Applications (3 papers), Colorectal Cancer Treatments and Studies (2 papers) and MicroRNA in disease regulation (2 papers). Robin Beekhof collaborates with scholars based in Netherlands, Italy and Denmark. Robin Beekhof's co-authors include Thang V. Pham, Connie R. Jiménez, Jaco C. Knol, Sander R. Piersma, Henk M.W. Verheul, Mariëtte Labots, Alex A. Henneman, Tim Schelfhorst, Andrea Bertotti and Valentina Vurchio and has published in prestigious journals such as SHILAP Revista de lepidopterología, Science Translational Medicine and Molecular & Cellular Proteomics.

In The Last Decade

Robin Beekhof

9 papers receiving 239 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Robin Beekhof Netherlands	8	168	78	58	58	40	9	241
Jo Ballot Ireland	7	195 1.2×	67 0.9×	99 1.7×	54 0.9×	15 0.4×	9	290
Scott Wood Australia	10	180 1.1×	71 0.9×	91 1.6×	35 0.6×	30 0.8×	21	271
Justine Meiller Ireland	11	185 1.1×	52 0.7×	123 2.1×	17 0.3×	94 2.4×	24	302
Anuli C. Uzozie Canada	8	230 1.4×	81 1.0×	74 1.3×	94 1.6×	14 0.3×	15	344
Elizabeth Remily-Wood United States	10	260 1.5×	41 0.5×	69 1.2×	108 1.9×	49 1.2×	11	364
Björn Häupl Germany	10	149 0.9×	51 0.7×	73 1.3×	21 0.4×	33 0.8×	22	252
Nina Ånensen Norway	10	248 1.5×	40 0.5×	128 2.2×	24 0.4×	89 2.2×	12	332
Valentina Vurchio Italy	5	86 0.5×	18 0.2×	42 0.7×	25 0.4×	22 0.6×	12	133
Marty J. Heslin United States	5	245 1.5×	51 0.7×	104 1.8×	8 0.1×	37 0.9×	7	329
David Wildes United States	10	241 1.4×	37 0.5×	156 2.7×	36 0.6×	10 0.3×	24	335

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-authorship network of co-authors of Robin Beekhof

This figure shows the co-authorship network connecting the top 25 collaborators of Robin Beekhof. A scholar is included among the top collaborators of Robin Beekhof 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 Robin Beekhof. Robin Beekhof is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Beekhof, Robin, Andrea Bertotti, Franziska Böttger, et al.. (2023). Phosphoproteomics of patient-derived xenografts identifies targets and markers associated with sensitivity and resistance to EGFR blockade in colorectal cancer. Science Translational Medicine. 15(709). eabm3687–eabm3687. 17 indexed citations

Wijngaart, Hanneke van der, Robin Beekhof, Jaco C. Knol, et al.. (2023). Candidate biomarkers for treatment benefit from sunitinib in patients with advanced renal cell carcinoma using mass spectrometry-based (phospho)proteomics. Clinical Proteomics. 20(1). 49–49. 1 indexed citations

Labots, Mariëtte, Thang V. Pham, Richard J. Honeywell, et al.. (2020). Kinase Inhibitor Treatment of Patients with Advanced Cancer Results in High Tumor Drug Concentrations and in Specific Alterations of the Tumor Phosphoproteome. Cancers. 12(2). 330–330. 12 indexed citations

Cloos, Jacqueline, Robin Beekhof, Sander R. Piersma, et al.. (2020). Phosphotyrosine-based Phosphoproteomics for Target Identification and Drug Response Prediction in AML Cell Lines. Molecular & Cellular Proteomics. 19(5). 884–899. 30 indexed citations

Poel, Dennis, Robin Beekhof, Tim Schelfhorst, et al.. (2019). Proteomic Analysis of miR-195 and miR-497 Replacement Reveals Potential Candidates that Increase Sensitivity to Oxaliplatin in MSI/P53wt Colorectal Cancer Cells. Cells. 8(9). 1111–1111. 23 indexed citations

Beekhof, Robin, Alex A. Henneman, Jaco C. Knol, et al.. (2019). INKA , an integrative data analysis pipeline for phosphoproteomic inference of active kinases. Molecular Systems Biology. 15(4). e8250–e8250. 59 indexed citations

Labots, Mariëtte, Johannes C. van der Mijn, Robin Beekhof, et al.. (2017). Phosphotyrosine-based-phosphoproteomics scaled-down to biopsy level for analysis of individual tumor biology and treatment selection. Journal of Proteomics. 162. 99–107. 26 indexed citations

Knol, Jaco C., Tim Schelfhorst, Robin Beekhof, et al.. (2016). Peptide-mediated ‘miniprep’ isolation of extracellular vesicles is suitable for high-throughput proteomics. SHILAP Revista de lepidopterología. 11. 11–15. 26 indexed citations

Liu, Ning Qing, Tommaso De Marchi, A. Mieke Timmermans, et al.. (2014). Ferritin Heavy Chain in Triple Negative Breast Cancer: A Favorable Prognostic Marker that Relates to a Cluster of Differentiation 8 Positive (CD8+) Effector T-cell Response. Molecular & Cellular Proteomics. 13(7). 1814–1827. 47 indexed citations

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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