Henk Dekker

2.9k total citations
69 papers, 2.4k citations indexed

About

Henk Dekker is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Henk Dekker has authored 69 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 30 papers in Oncology and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Henk Dekker's work include Drug Transport and Resistance Mechanisms (12 papers), PI3K/AKT/mTOR signaling in cancer (8 papers) and Colorectal Cancer Treatments and Studies (7 papers). Henk Dekker is often cited by papers focused on Drug Transport and Resistance Mechanisms (12 papers), PI3K/AKT/mTOR signaling in cancer (8 papers) and Colorectal Cancer Treatments and Studies (7 papers). Henk Dekker collaborates with scholars based in Netherlands, United States and Belgium. Henk Dekker's co-authors include J. Lankelma, Jan Lankelma, Godefridus J. Peters, Herbert M. Pinedo, Henk M.W. Verheul, Frank Baas, Olaf van Tellingen, Ellen C. Spoelstra, Guido J.R. Zaman and Ronald P.J. Oude Elferink and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Henk Dekker

68 papers receiving 2.3k citations

Peers

Henk Dekker
Zheng Yang United States
Michael Colvin United States
Xiaojing Tang China
John S. Kovach United States
Wolfgang Walther Germany
Ikuo Horii Japan
P R Twentyman United Kingdom
Andrew M. Stern United States
Macus Tien Kuo United States
Uma Shankavaram United States
Zheng Yang United States
Henk Dekker
Citations per year, relative to Henk Dekker Henk Dekker (= 1×) peers Zheng Yang

Countries citing papers authored by Henk Dekker

Since Specialization
Citations

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

Fields of papers citing papers by Henk Dekker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Henk Dekker

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

All Works

20 of 20 papers shown
1.
Oliver, P. Graham, et al.. (2023). An illustrated checklist of the intertidal Bivalvia of the State of Kuwait. 44(6). 483–528. 4 indexed citations
2.
Walraven, Maudy, Siamack Sabrkhany, Jaco C. Knol, et al.. (2021). Effects of Cancer Presence and Therapy on the Platelet Proteome. International Journal of Molecular Sciences. 22(15). 8236–8236. 15 indexed citations
3.
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
4.
Cascioferro, Stella, Giovanna Li Petri, Barbara Parrino, et al.. (2020). Imidazo[2,1-b] [1,3,4]thiadiazoles with antiproliferative activity against primary and gemcitabine-resistant pancreatic cancer cells. European Journal of Medicinal Chemistry. 189. 112088–112088. 58 indexed citations
5.
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
6.
Poel, Dennis, Elske C. Gootjes, Wim Trypsteen, et al.. (2020). A specific microRNA profile as predictive biomarker for systemic treatment in patients with metastatic colorectal cancer. Cancer Medicine. 9(20). 7558–7571. 8 indexed citations
7.
Dekker, Henk, et al.. (2020). Biodiversity on intertidal oyster reefs in the Hab River mouth: 35 new records from Pakistan. Regional Studies in Marine Science. 39. 101415–101415. 4 indexed citations
8.
Elias, Sjoerd G., Suzanne C. van Es, Eline Boon, et al.. (2019). [89Zr]Zr-cetuximab PET/CT as biomarker for cetuximab monotherapy in patients with RAS wild-type advanced colorectal cancer. European Journal of Nuclear Medicine and Molecular Imaging. 47(4). 849–859. 19 indexed citations
9.
Labots, Mariëtte, Kristy J. Gotink, Henk Dekker, et al.. (2016). Evaluation of a tyrosine kinase peptide microarray for tyrosine kinase inhibitor therapy selection in cancer. Experimental & Molecular Medicine. 48(12). e279–e279. 21 indexed citations
10.
Galvani, Elena, Elisa Giovannetti, Francesca Saccani, et al.. (2013). Molecular Mechanisms Underlying the Antitumor Activity of 3-Aminopropanamide Irreversible Inhibitors of the Epidermal Growth Factor Receptor in Non–Small Cell Lung Cancer. Neoplasia. 15(1). 61–IN18. 13 indexed citations
11.
Azijli, Kaamar, Saravanan Yuvaraj, Maikel P. Peppelenbosch, et al.. (2012). Kinome profiling of non-canonical TRAIL signaling reveals RIP1-Src-STAT3 dependent invasion in resistant non-small cell lung cancer cells. Journal of Cell Science. 125(Pt 19). 4651–61. 59 indexed citations
12.
Gotink, Kristy J., Henk J. Broxterman, Mariëtte Labots, et al.. (2011). Lysosomal Sequestration of Sunitinib: A Novel Mechanism of Drug Resistance. Clinical Cancer Research. 17(23). 7337–7346. 290 indexed citations
13.
Kramer, Gertjan, Richard R. Sprenger, Jaap Willem Back, et al.. (2009). Identification and Quantitation of Newly Synthesized Proteins in Escherichia coli by Enrichment of Azidohomoalanine-labeled Peptides with Diagonal Chromatography. Molecular & Cellular Proteomics. 8(7). 1599–1611. 28 indexed citations
14.
Middelburg, Rutger A., et al.. (2004). A tool for gene expression based PubMed search through combining data sources. Bioinformatics. 20(12). 1980–1982. 6 indexed citations
15.
16.
Lankelma, Jan, et al.. (2003). Simulation model of doxorubicin activity in islets of human breast cancer cells. Biochimica et Biophysica Acta (BBA) - General Subjects. 1622(3). 169–178. 18 indexed citations
17.
Kooter, Ingeborg M., Nicole Moguilevsky, Alex Bollen, et al.. (1999). The Sulfonium Ion Linkage in Myeloperoxidase. Journal of Biological Chemistry. 274(38). 26794–26802. 55 indexed citations
18.
Westerhoff, Hans V., et al.. (1996). Saturable P-glycoprotein kinetics assayed by fluorescence studies of drug efflux from suspended human KB 8-5 cells. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1278(2). 213–222. 9 indexed citations
19.
20.
Lankelma, Jan, Ellen C. Spoelstra, Henk Dekker, & Henricus J. Broxterman. (1990). Evidence for daunomycin efflux from multidrug-resistant 2780AD human ovarian carcinoma cells against a concentration gradient. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1055(3). 217–222. 33 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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