Rik de Wijn

451 total citations
21 papers, 322 citations indexed

About

Rik de Wijn is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rik de Wijn has authored 21 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Oncology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rik de Wijn's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Colorectal Cancer Treatments and Studies (4 papers) and Lung Cancer Treatments and Mutations (4 papers). Rik de Wijn is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Colorectal Cancer Treatments and Studies (4 papers) and Lung Cancer Treatments and Mutations (4 papers). Rik de Wijn collaborates with scholars based in Netherlands, United States and Norway. Rik de Wijn's co-authors include Rob Ruijtenbeek, Piet J. Boender, Anne Hansen Ree, Wilfred F.A. den Dunnen, Willem A. Kamps, Eveline S.J.M. de Bont, Arend H. Sikkema, Maikel P. Peppelenbosch, Eelco W. Hoving and Frank J.G. Scherpen and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Rik de Wijn

21 papers receiving 315 citations

Peers

Rik de Wijn

ONCOL

PRM

RNMI

Sonal Varma Canada

Constance M. Cultraro United States

Vaibhav Chumbalkar United States

Maddalena M. Bolognesi Italy

Irene García‐Palmero Spain

Rocío Vicario Spain

Trina Yeadon Australia

Tim Perera Italy

Rui‐xia Sun China

Laura K. Nolden United States

Sonal Varma Canada

Rik de Wijn

193 ×1.1

106 ×0.9

ONCOL

102 ×1.8

PRM

69 ×1.3

87 ×2.4

RNMI

Citations per year, relative to Rik de Wijn Rik de Wijn (= 1×) peers Sonal Varma

Countries citing papers authored by Rik de Wijn

Since Specialization

Citations

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

Fields of papers citing papers by Rik de Wijn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rik de Wijn. 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 Rik de Wijn. The network helps show where Rik de Wijn may publish in the future.

Co-authorship network of co-authors of Rik de Wijn

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

All Works

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20 of 20 papers shown

Govers, Tim M., et al.. (2025). Predicting response to immunotherapy in lung cancer: an early HTA of predictive tests. International Journal of Technology Assessment in Health Care. 41(1). e57–e57. 1 indexed citations

Hilhorst, Riet, Piet J. Boender, Tom van Wezel, et al.. (2023). Differentiating Benign from Malignant Thyroid Tumors by Kinase Activity Profiling and Dabrafenib BRAF V600E Targeting. Cancers. 15(18). 4477–4477. 2 indexed citations

Buffart, Tineke E., Riet Hilhorst, Hans Pruijt, et al.. (2021). Time dependent effect of cold ischemia on the phosphoproteome and protein kinase activity in fresh-frozen colorectal cancer tissue obtained from patients. Clinical Proteomics. 18(1). 8–8. 3 indexed citations

Tabbò, Fabrizio, Francesco Guerrera, Marcello Gaudiano, et al.. (2020). Kinomic profiling of tumour xenografts derived from patients with non–small cell lung cancer confirms their fidelity and reveals potentially actionable pathways. European Journal of Cancer. 144. 17–30. 2 indexed citations

Krayem, Mohammad, Philippe Aftimos, Ahmad Najem, et al.. (2020). Kinome Profiling to Predict Sensitivity to MAPK Inhibition in Melanoma and to Provide New Insights into Intrinsic and Acquired Mechanism of Resistance. Cancers. 12(2). 512–512. 15 indexed citations

Joode, Karlijn de, Harry J.M. Groen, Astrid A.M. van der Veldt, et al.. (2020). 1200P Tyrosine kinase activity profiling as a predictive biomarker for clinical benefit to immune checkpoint inhibition in advanced melanoma and NSCLC. Annals of Oncology. 31. S788–S788. 1 indexed citations

Willey, Christopher D., Joshua C. Anderson, Hoa Q. Trummell, et al.. (2019). Differential escape mechanisms in cetuximab-resistant head and neck cancer cells. Biochemical and Biophysical Research Communications. 517(1). 36–42. 15 indexed citations

Chirumamilla, Chandra Sekhar, Mobashar Hussain Urf Turabe Fazil, Claudina Pérez-Novo, et al.. (2019). Profiling Activity of Cellular Kinases in Migrating T-Cells. Methods in molecular biology. 1930. 99–113. 43 indexed citations

Arni, Stephan, Rik de Wijn, Refugio García‐Villegas, et al.. (2018). A strategy to analyse activity-based profiling of tyrosine kinase substrates in OCT-embedded lung cancer tissue. Analytical Biochemistry. 547. 77–83. 2 indexed citations

10.

Hurkmans, Daan P., Els M.E. Verdegaal, Sabrina A. Hogan, et al.. (2018). Blood-based multiplex kinase activity profiling as a predictive marker for clinical response to checkpoint blockade in advanced melanoma.. Journal of Clinical Oncology. 36(15_suppl). 9579–9579. 1 indexed citations

11.

Arni, Stephan, et al.. (2017). Ex vivo multiplex profiling of protein tyrosine kinase activities in early stages of human lung adenocarcinoma. Oncotarget. 8(40). 68599–68613. 14 indexed citations

12.

Anderson, Joshua C., Robert B. Taylor, John B. Fiveash, et al.. (2015). Kinomic Alterations in Atypical Meningioma. Medical Research Archives. 2015(3). 8 indexed citations

13.

Eriksson, Anna, Antonia Kalushkova, Malin Jarvius, et al.. (2013). AKN-028 induces cell cycle arrest, downregulation of Myc associated genes and dose dependent reduction of tyrosine kinase activity in acute myeloid leukemia. Biochemical Pharmacology. 87(2). 284–291. 12 indexed citations

14.

Tahiri, Andliena, Kathrine Røe, Anne Hansen Ree, et al.. (2013). Differential Inhibition of Ex-Vivo Tumor Kinase Activity by Vemurafenib in BRAF(V600E) and BRAF Wild-Type Metastatic Malignant Melanoma. PLoS ONE. 8(8). e72692–e72692. 26 indexed citations

15.

Ree, Anne Hansen, Rik de Wijn, Hege Edvardsen, et al.. (2012). Tumor Phosphatidylinositol-3-Kinase Signaling and Development of Metastatic Disease in Locally Advanced Rectal Cancer. PLoS ONE. 7(11). e50806–e50806. 5 indexed citations

16.

Flatmark, Kjersti, Sigurd Folkvord, Rik de Wijn, et al.. (2011). Tumor kinase activity in locally advanced rectal cancer: angiogenic signaling and early systemic dissemination. Angiogenesis. 14(4). 481–489. 17 indexed citations

17.

Hilhorst, Riet, Eva Schaake, Renée van Pel, et al.. (2011). Blind prediction of response to erlotinib in early-stage non-small cell lung cancer (NSCLC) in a neoadjuvant setting based on kinase activity profiles.. Journal of Clinical Oncology. 29(15_suppl). 10521–10521. 3 indexed citations

18.

Folkvord, Sigurd, Kjersti Flatmark, Svein Dueland, et al.. (2010). Prediction of Response to Preoperative Chemoradiotherapy in Rectal Cancer by Multiplex Kinase Activity Profiling. International Journal of Radiation Oncology*Biology*Physics. 78(2). 555–562. 44 indexed citations

19.

Boender, Piet J., Jeroen J. W. M. Janssen, Linda Smit, et al.. (2010). Application of Kinase Activity Profiles to Predict Upcoming TKI Resistance In CML-Patients.. Blood. 116(21). 3425–3425. 1 indexed citations

20.

Sikkema, Arend H., Sander H. Diks, Wilfred F.A. den Dunnen, et al.. (2009). Kinome Profiling in Pediatric Brain Tumors as a New Approach for Target Discovery. Cancer Research. 69(14). 5987–5995. 104 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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