Anke Witteveen

17.6k total citations · 1 hit paper
18 papers, 8.1k citations indexed

About

Anke Witteveen is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Anke Witteveen has authored 18 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cancer Research, 8 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Anke Witteveen's work include Breast Cancer Treatment Studies (8 papers), Gene expression and cancer classification (8 papers) and Cancer Genomics and Diagnostics (5 papers). Anke Witteveen is often cited by papers focused on Breast Cancer Treatment Studies (8 papers), Gene expression and cancer classification (8 papers) and Cancer Genomics and Diagnostics (5 papers). Anke Witteveen collaborates with scholars based in Netherlands, United States and Belgium. Anke Witteveen's co-authors include René Bernards, Laura van ‘t Veer, Marc J. van de Vijver, K van der Kooy, Stephen Friend, Hongyue Dai, Matthew J. Marton, Hans Peterse, George J. Schreiber and Chris Roberts and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Anke Witteveen

18 papers receiving 7.9k citations

Hit Papers

Gene expression profiling predicts clinical outcome of br... 2002 2026 2010 2018 2002 2.0k 4.0k 6.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Gene expression profiling predicts clinical outcome of breast cancer
    2002 7.0k citations Laura van ‘t Veer, Hongyue Dai et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anke Witteveen Netherlands 10 5.1k 3.1k 2.7k 1.0k 869 18 8.1k
Yudong D. He United States 27 6.8k 1.3× 3.2k 1.0× 2.8k 1.0× 1.3k 1.2× 828 1.0× 49 10.6k
Lao H. Saal Sweden 30 4.7k 0.9× 2.0k 0.6× 2.1k 0.8× 857 0.8× 1.1k 1.3× 76 7.2k
Matthew J. Marton United States 18 7.5k 1.5× 2.8k 0.9× 2.5k 0.9× 1.4k 1.3× 767 0.9× 45 10.6k
Kenna Shaw United States 28 4.7k 0.9× 3.2k 1.0× 2.3k 0.9× 700 0.7× 1.6k 1.8× 83 7.9k
Sherri R. Davies United States 19 3.0k 0.6× 4.0k 1.3× 3.3k 1.2× 891 0.9× 1.0k 1.2× 36 6.9k
Andrew B. Nobel United States 26 5.4k 1.1× 4.9k 1.6× 4.1k 1.5× 1.5k 1.5× 1.2k 1.4× 86 10.6k
J. S. Marron United States 14 3.9k 0.8× 4.1k 1.4× 3.7k 1.4× 1.1k 1.1× 1.0k 1.2× 44 8.4k
Maxime P. Look Netherlands 49 5.9k 1.2× 4.5k 1.5× 3.6k 1.3× 1.2k 1.2× 921 1.1× 115 10.0k
Zhiyuan Hu United States 21 3.1k 0.6× 3.7k 1.2× 3.3k 1.2× 822 0.8× 955 1.1× 40 6.8k
Benjamin J. Raphael United States 40 6.5k 1.3× 3.5k 1.1× 1.5k 0.6× 1.8k 1.7× 839 1.0× 127 8.9k

Countries citing papers authored by Anke Witteveen

Since Specialization
Citations

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

Fields of papers citing papers by Anke Witteveen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anke Witteveen

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

All Works

18 of 18 papers shown
1.
2.
Liefaard, Marte C., Rajith Bhaskaran, Anke Witteveen, et al.. (2022). 161P MammaPrint and BluePrint diagnostic tests can be robustly assessed on Whole-Transcriptome NGS platform. Annals of Oncology. 33. S612–S612. 1 indexed citations
3.
Cardozo, Josephine Lopes, Caroline A. Drukker, Marjanka K. Schmidt, et al.. (2021). Outcome of patients with an ultralow risk 70-gene signature in the MINDACT trial.. Journal of Clinical Oncology. 39(15_suppl). 500–500. 8 indexed citations
4.
Jacob, Laurent, Anke Witteveen, Leonie Delahaye, et al.. (2020). Controlling technical variation amongst 6693 patient microarrays of the randomized MINDACT trial. Communications Biology. 3(1). 397–397. 5 indexed citations
5.
Mittempergher, Lorenza, Leonie Delahaye, Anke Witteveen, et al.. (2020). Performance Characteristics of the BluePrint® Breast Cancer Diagnostic Test. Translational Oncology. 13(4). 100756–100756. 22 indexed citations
6.
Delahaye, Leonie, Caroline A. Drukker, Christa Dreezen, et al.. (2017). A breast cancer gene signature for indolent disease. Breast Cancer Research and Treatment. 164(2). 461–466. 21 indexed citations
7.
Veld, Sjors G. J. G. In ‘t, Mireille H.J. Snel, Anke Witteveen, et al.. (2017). A Computational Workflow Translates a 58-Gene Signature to a Formalin-Fixed, Paraffin-Embedded Sample-Based Companion Diagnostic for Personalized Treatment of the BRAF-Mutation-Like Subtype of Colorectal Cancers. SHILAP Revista de lepidopterología. 6(4). 16–16. 2 indexed citations
8.
Witteveen, Anke, Leonie Delahaye, Diederik Wehkamp, et al.. (2016). Equivalence of MammaPrint array types in clinical trials and diagnostics. Breast Cancer Research and Treatment. 156(2). 279–287. 36 indexed citations
9.
Witteveen, Anke, Christa Dreezen, Suet‐Feung Chin, et al.. (2016). Prognostic Value of MammaPrint® in Invasive Lobular Breast Cancer.. SHILAP Revista de lepidopterología. 2 indexed citations
10.
Witteveen, Anke, Christa Dreezen, Suet‐Feung Chin, et al.. (2016). Prognostic Value of MammaPrint® in Invasive Lobular Breast Cancer. Biomarker Insights. 11. BMI.S38435–BMI.S38435. 28 indexed citations
11.
Roepman, Paul, et al.. (2009). A gene expression profile for detection of sufficient tumour cells in breast tumour tissue: microarray diagnosis eligibility. BMC Medical Genomics. 2(1). 52–52. 9 indexed citations
12.
Roepman, Paul, Jacek Jassem, Egbert F. Smit, et al.. (2008). An Immune Response Enriched 72-Gene Prognostic Profile for Early-Stage Non–Small-Cell Lung Cancer. Clinical Cancer Research. 15(1). 284–290. 114 indexed citations
13.
Horlings, Hugo M., Ryan K. van Laar, Helgi H. Helgason, et al.. (2008). Gene Expression Profiling to Identify the Histogenetic Origin of Metastatic Adenocarcinomas of Unknown Primary. Journal of Clinical Oncology. 26(27). 4435–4441. 132 indexed citations
14.
Glas, Annuska M., Arno Floore, Leonie Delahaye, et al.. (2006). Converting a breast cancer microarray signature into a high-throughput diagnostic test. BMC Genomics. 7(1). 278–278. 343 indexed citations
15.
Hannemann, Juliane, Hendrika M. Oosterkamp, Cathy A.J. Bosch, et al.. (2004). Changes in gene expression profiling due to primary chemotherapy in patients with locally advanced breast cancer. Journal of Clinical Oncology. 22(14_suppl). 502–502. 5 indexed citations
16.
Hannemann, Juliane, Hendrika M. Oosterkamp, Cathy A.J. Bosch, et al.. (2004). Changes in gene expression profiling due to primary chemotherapy in patients with locally advanced breast cancer. Journal of Clinical Oncology. 22(14_suppl). 502–502. 8 indexed citations
17.
Weigelt, Britta, Annuska M. Glas, Lodewyk F.A. Wessels, et al.. (2003). Gene expression profiles of primary breast tumors maintained in distant metastases. Proceedings of the National Academy of Sciences. 100(26). 15901–15905. 335 indexed citations
18.
Veer, Laura van ‘t, Hongyue Dai, Marc J. van de Vijver, et al.. (2002). Gene expression profiling predicts clinical outcome of breast cancer. Nature. 415(6871). 530–536. 7033 indexed citations breakdown →

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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