Koen Schipper

965 total citations · 1 hit paper
8 papers, 686 citations indexed

About

Koen Schipper is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Koen Schipper has authored 8 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in Koen Schipper's work include Cancer Cells and Metastasis (4 papers), Breast Cancer Treatment Studies (2 papers) and Epigenetics and DNA Methylation (2 papers). Koen Schipper is often cited by papers focused on Cancer Cells and Metastasis (4 papers), Breast Cancer Treatment Studies (2 papers) and Epigenetics and DNA Methylation (2 papers). Koen Schipper collaborates with scholars based in Netherlands, United Kingdom and United States. Koen Schipper's co-authors include Veena Padmanaban, James E. Verdone, Kenneth J. Pienta, Joel S. Bader, Andrew J. Ewald, Kevin J. Cheung, Michael A. Gorin, Joshua D. Cohen, Vanesa L. Silvestri and Jos Jonkers and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

Koen Schipper

8 papers receiving 681 citations

Hit Papers

Polyclonal breast cancer metastases arise from collective... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koen Schipper Netherlands 6 432 313 259 164 121 8 686
Carman Man-Chung Li United States 8 323 0.7× 353 1.1× 194 0.7× 85 0.5× 90 0.7× 10 647
Aprill Watanabe United States 8 428 1.0× 359 1.1× 160 0.6× 163 1.0× 70 0.6× 12 783
Laura Gómez-Cuadrado United Kingdom 9 392 0.9× 347 1.1× 152 0.6× 100 0.6× 69 0.6× 9 745
Jurrit Zeilstra Netherlands 6 404 0.9× 369 1.2× 151 0.6× 103 0.6× 47 0.4× 7 639
Matthew S. Marengo United States 5 463 1.1× 282 0.9× 248 1.0× 58 0.4× 106 0.9× 8 676
Regina Pinto Portugal 4 408 0.9× 268 0.9× 187 0.7× 43 0.3× 56 0.5× 7 550
Danielle Murphy United States 5 641 1.5× 549 1.8× 308 1.2× 120 0.7× 39 0.3× 13 935
Saswati Karmakar United States 12 301 0.7× 467 1.5× 165 0.6× 58 0.4× 61 0.5× 20 692
Andrea R. Lim United States 4 283 0.7× 167 0.5× 153 0.6× 54 0.3× 52 0.4× 5 427
Gonzalo Torga United States 11 229 0.5× 327 1.0× 326 1.3× 132 0.8× 40 0.3× 24 668

Countries citing papers authored by Koen Schipper

Since Specialization
Citations

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

Fields of papers citing papers by Koen Schipper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koen Schipper

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

All Works

8 of 8 papers shown
1.
Alexander, John, Koen Schipper, Sarah H. Nash, et al.. (2024). Pathway-based signatures predict patient outcome, chemotherapy benefit and synthetic lethal dependencies in invasive lobular breast cancer. British Journal of Cancer. 130(11). 1828–1840. 2 indexed citations
2.
Selfe, Joanna, et al.. (2022). Endo180 ( MRC2 ) Antibody–Drug Conjugate for the Treatment of Sarcoma. Molecular Cancer Therapeutics. 22(2). 240–253. 5 indexed citations
3.
Sflomos, George, Koen Schipper, Thijs Koorman, et al.. (2021). Atlas of Lobular Breast Cancer Models: Challenges and Strategic Directions. Cancers. 13(21). 5396–5396. 23 indexed citations
4.
Schipper, Koen, Anne Paulien Drenth, Eline van der Burg, et al.. (2020). Truncated ASPP2 Drives Initiation and Progression of Invasive Lobular Carcinoma via Distinct Mechanisms. Cancer Research. 80(7). 1486–1497. 7 indexed citations
5.
Schipper, Koen, Daniëlle Seinstra, Anne Paulien Drenth, et al.. (2019). Rebalancing of actomyosin contractility enables mammary tumor formation upon loss of E-cadherin. Nature Communications. 10(1). 3800–3800. 23 indexed citations
6.
Kas, Sjors M., Julian R. de Ruiter, Koen Schipper, et al.. (2018). Transcriptomics and Transposon Mutagenesis Identify Multiple Mechanisms of Resistance to the FGFR Inhibitor AZD4547. Cancer Research. 78(19). 5668–5679. 30 indexed citations
7.
Kas, Sjors M., Julian R. de Ruiter, Koen Schipper, et al.. (2017). Insertional mutagenesis identifies drivers of a novel oncogenic pathway in invasive lobular breast carcinoma. Nature Genetics. 49(8). 1219–1230. 55 indexed citations
8.
Cheung, Kevin J., Veena Padmanaban, Vanesa L. Silvestri, et al.. (2016). Polyclonal breast cancer metastases arise from collective dissemination of keratin 14-expressing tumor cell clusters. Proceedings of the National Academy of Sciences. 113(7). E854–63. 541 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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