Tim Dekker

1.7k total citations
30 papers, 1.3k citations indexed

About

Tim Dekker is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Tim Dekker has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 13 papers in Cancer Research and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Tim Dekker's work include Breast Cancer Treatment Studies (11 papers), HER2/EGFR in Cancer Research (5 papers) and Breast Lesions and Carcinomas (5 papers). Tim Dekker is often cited by papers focused on Breast Cancer Treatment Studies (11 papers), HER2/EGFR in Cancer Research (5 papers) and Breast Lesions and Carcinomas (5 papers). Tim Dekker collaborates with scholars based in Netherlands, United States and Germany. Tim Dekker's co-authors include Judith R. Kroep, Wilma E. Mesker, Vincent T.H.B.M. Smit, Rob A.�E.�M. Tollenaar, J.W.R. Nortier, Saskia van de Ven, Gabi W. van Pelt, Cornelis J.�H. van de Velde, Hans Gelderblom and Christian U. Blank and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and International Journal of Molecular Sciences.

In The Last Decade

Tim Dekker

28 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Dekker Netherlands 17 583 442 407 223 189 30 1.3k
Emiel A. M. Janssen Norway 24 576 1.0× 488 1.1× 523 1.3× 370 1.7× 117 0.6× 59 1.7k
Jun‐ichiro Ikeda Japan 24 465 0.8× 338 0.8× 651 1.6× 257 1.2× 302 1.6× 110 1.6k
Sridhar Epari India 23 288 0.5× 293 0.7× 599 1.5× 195 0.9× 291 1.5× 198 1.9k
Christina Schott Germany 17 389 0.7× 208 0.5× 849 2.1× 87 0.4× 101 0.5× 24 1.2k
Matthew Schniederjan United States 20 260 0.4× 179 0.4× 354 0.9× 122 0.5× 93 0.5× 47 1.1k
Ann C. Mladek United States 20 473 0.8× 282 0.6× 1000 2.5× 117 0.5× 80 0.4× 41 1.5k
Benoît Lhermitte France 18 710 1.2× 647 1.5× 821 2.0× 336 1.5× 319 1.7× 77 2.5k
Alberto Pisacane Italy 21 624 1.1× 269 0.6× 486 1.2× 191 0.9× 147 0.8× 49 1.4k
Nikita Makretsov Canada 14 593 1.0× 380 0.9× 682 1.7× 195 0.9× 113 0.6× 19 1.4k
Elisabeth Wik Norway 23 401 0.7× 382 0.9× 584 1.4× 140 0.6× 57 0.3× 60 1.5k

Countries citing papers authored by Tim Dekker

Since Specialization
Citations

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

Fields of papers citing papers by Tim Dekker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Dekker

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Dekker. A scholar is included among the top collaborators of Tim 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 Tim Dekker. Tim 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.
Groen, Ruben A. L. de, Tom van Wezel, Ronald van Eijk, et al.. (2023). Real-world routine diagnostic molecular analysis for TP53 mutational status is recommended over p53 immunohistochemistry in B-cell lymphomas. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 485(4). 643–654. 6 indexed citations
2.
Groot, Stefanie de, Daniëlle Cohen, Tim Dekker, et al.. (2021). Tumor‐stroma ratio is associated with Miller‐Payne score and pathological response to neoadjuvant chemotherapy in HER2‐negative early breast cancer. International Journal of Cancer. 149(5). 1181–1188. 31 indexed citations
3.
Gelderblom, Hans, Tim Dekker, Christoph Mancao, et al.. (2019). Stromal organization as predictive biomarker for the treatment of colon cancer with adjuvant bevacizumab; a post-hoc analysis of the AVANT trial. Cellular Oncology. 42(5). 717–725. 6 indexed citations
4.
Pelt, Gabi W. van, et al.. (2018). The prognostic value of tumour–stroma ratio in primary breast cancer with special attention to triple-negative tumours: a review. Breast Cancer Research and Treatment. 173(1). 55–64. 71 indexed citations
5.
Rozeman, Elisa A., Tim Dekker, John B.A.G. Haanen, & Christian U. Blank. (2017). Advanced Melanoma: Current Treatment Options, Biomarkers, and Future Perspectives. American Journal of Clinical Dermatology. 19(3). 303–317. 78 indexed citations
6.
Sobral‐Leite, Marcelo, Tim Dekker, Jelle Wesseling, et al.. (2017). The prognostic value of the tumour-stroma ratio in primary operable invasive cancer of the breast: a validation study. Breast Cancer Research and Treatment. 166(2). 435–445. 41 indexed citations
7.
Dekker, Tim, Gerrit K. Hooijer, Sybren L. Meijer, et al.. (2015). Quality assessment of estrogen receptor and progesterone receptor testing in breast cancer using a tissue microarray-based approach. Breast Cancer Research and Treatment. 152(2). 247–252. 16 indexed citations
8.
Dekker, Tim, Ayoub Charehbili, Vincent T.H.B.M. Smit, et al.. (2015). Disorganised stroma determined on pre‐treatment breast cancer biopsies is associated with poor response to neoadjuvant chemotherapy: Results from the NEOZOTAC trial. Molecular Oncology. 9(6). 1120–1128. 31 indexed citations
9.
Dekker, Tim, Emrys A. Jones, Willem E. Corver, et al.. (2014). Towards imaging metabolic pathways in tissues. Analytical and Bioanalytical Chemistry. 407(8). 2167–2176. 27 indexed citations
10.
Zhou, Fangfang, Yvette Drabsch, Tim Dekker, et al.. (2014). Nuclear receptor NR4A1 promotes breast cancer invasion and metastasis by activating TGF-β signalling. Nature Communications. 5(1). 3388–3388. 160 indexed citations
11.
Dekker, Tim, et al.. (2014). [Loin pain haematuria syndrome].. PubMed. 159. A8101–A8101. 1 indexed citations
12.
Dekker, Tim, Benjamin Balluff, Emrys A. Jones, et al.. (2014). Multicenter Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging (MALDI MSI) Identifies Proteomic Differences in Breast-Cancer-Associated Stroma. Journal of Proteome Research. 13(11). 4730–4738. 69 indexed citations
13.
Dekker, Tim, Cornelis J.�H. van de Velde, Gabi W. van Pelt, et al.. (2013). Prognostic significance of the tumor-stroma ratio: validation study in node-negative premenopausal breast cancer patients from the EORTC perioperative chemotherapy (POP) trial (10854). Breast Cancer Research and Treatment. 139(2). 371–379. 121 indexed citations
14.
Dekker, Tim, C.J.H. van de Velde, Wilma E. Mesker, et al.. (2013). Quantitative assessment of lymph vascular space invasion (LVSI) provides important prognostic information in node-negative breast cancer. Annals of Oncology. 24(12). 2994–2998. 12 indexed citations
15.
Dekker, Tim, Vincent T.H.B.M. Smit, Gerrit K. Hooijer, et al.. (2012). Reliability of core needle biopsy for determining ER and HER2 status in breast cancer. Annals of Oncology. 24(4). 931–937. 61 indexed citations
16.
Kruijf, Esther M. de, Tim Dekker, Lukas J.A.C. Hawinkels, et al.. (2012). The prognostic role of TGF-β signaling pathway in breast cancer patients. Annals of Oncology. 24(2). 384–390. 68 indexed citations
17.
Dekker, Tim, Gerrit K. Hooijer, Sybren L. Meijer, et al.. (2012). Determining sensitivity and specificity of HER2 testing in breast cancer using a tissue micro-array approach. Breast Cancer Research. 14(3). R93–R93. 48 indexed citations
18.
Ven, Saskia van de, Vincent T.H.B.M. Smit, Tim Dekker, J.W.R. Nortier, & Judith R. Kroep. (2010). Discordances in ER, PR and HER2 receptors after neoadjuvant chemotherapy in breast cancer. Cancer Treatment Reviews. 37(6). 422–30. 175 indexed citations
20.
Willemsen, Oscar H., et al.. (2006). 2D/3D switchable displays. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6196. 61960H–61960H. 3 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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