Lodewyk F.A. Wessels

47.5k total citations · 6 hit papers
252 papers, 15.8k citations indexed

About

Lodewyk F.A. Wessels is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Lodewyk F.A. Wessels has authored 252 papers receiving a total of 15.8k indexed citations (citations by other indexed papers that have themselves been cited), including 179 papers in Molecular Biology, 72 papers in Oncology and 71 papers in Cancer Research. Recurrent topics in Lodewyk F.A. Wessels's work include Gene expression and cancer classification (57 papers), Cancer Genomics and Diagnostics (45 papers) and Bioinformatics and Genomic Networks (39 papers). Lodewyk F.A. Wessels is often cited by papers focused on Gene expression and cancer classification (57 papers), Cancer Genomics and Diagnostics (45 papers) and Bioinformatics and Genomic Networks (39 papers). Lodewyk F.A. Wessels collaborates with scholars based in Netherlands, United States and United Kingdom. Lodewyk F.A. Wessels's co-authors include Marcel Reinders, Laura J. van’t Veer, Wouter Meuleman, Ludo Pagie, Bas van Steensel, Britta Weigelt, Dimitry S.A. Nuyten, Ron Kerkhoven, Jos Jonkers and René Bernards and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Lodewyk F.A. Wessels

248 papers receiving 15.5k citations

Hit Papers

Domain organization of human chromosomes revealed by mapp... 2006 2026 2012 2019 2008 2006 2010 2017 2019 400 800 1.2k
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. Domain organization of human chromosomes revealed by mapping of nuclear lamina interactions
    2008 1.4k citations Lodewyk F.A. Wessels et al. profile →
  2. Concordance among Gene-Expression–Based Predictors for Breast Cancer
    2006 977 citations Lodewyk F.A. Wessels, Dimitry S.A. Nuyten et al. profile →
  3. Molecular Maps of the Reorganization of Genome-Nuclear Lamina Interactions during Differentiation
    2010 763 citations Ron Kerkhoven, Maarten van Lohuizen et al. profile →
  4. Identification of CMTM6 and CMTM4 as PD-L1 protein regulators
    2017 504 citations Hugo M. Horlings, Lodewyk F.A. Wessels et al. profile →
  5. Loss of p53 triggers WNT-dependent systemic inflammation to drive breast cancer metastasis
    2019 361 citations Linda Henneman, Ingrid van der Heijden et al. profile →
  6. A pan-cancer analysis of the microbiome in metastatic cancer
    2024 94 citations Edwin Cuppen, Lodewyk F.A. Wessels et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lodewyk F.A. Wessels Netherlands 62 10.2k 4.6k 4.3k 2.1k 1.4k 252 15.8k
Ron Kerkhoven Netherlands 40 10.8k 1.1× 4.7k 1.0× 3.5k 0.8× 1.9k 0.9× 955 0.7× 77 15.4k
Hongyue Dai United States 34 9.3k 0.9× 3.4k 0.7× 4.4k 1.0× 1.5k 0.7× 1.1k 0.8× 66 14.2k
Adam B. Olshen United States 51 8.6k 0.8× 4.9k 1.1× 4.7k 1.1× 2.8k 1.4× 2.8k 2.0× 152 15.7k
Li Ding China 48 9.7k 1.0× 3.9k 0.8× 6.3k 1.5× 3.2k 1.6× 2.2k 1.6× 337 18.1k
Shridar Ganesan United States 52 7.8k 0.8× 3.5k 0.8× 3.1k 0.7× 1.6k 0.8× 1.4k 1.0× 204 12.7k
Tatsuhiko Tsunoda Japan 74 9.6k 0.9× 2.5k 0.5× 2.5k 0.6× 2.9k 1.4× 1.6k 1.1× 277 17.6k
Mao Mao United States 37 8.6k 0.8× 2.8k 0.6× 3.6k 0.8× 1.5k 0.7× 1.1k 0.8× 108 13.5k
Ken Chen United States 49 6.0k 0.6× 2.5k 0.5× 2.9k 0.7× 1.9k 0.9× 867 0.6× 306 11.1k
Alexander Pergamenschikov United States 6 9.2k 0.9× 6.5k 1.4× 6.7k 1.6× 2.7k 1.3× 1.9k 1.4× 9 16.3k
Markus Ringnér Sweden 43 7.5k 0.7× 3.0k 0.7× 3.1k 0.7× 1.5k 0.7× 1.3k 0.9× 96 12.2k

Countries citing papers authored by Lodewyk F.A. Wessels

Since Specialization
Citations

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

Fields of papers citing papers by Lodewyk F.A. Wessels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lodewyk F.A. Wessels. 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 Lodewyk F.A. Wessels. The network helps show where Lodewyk F.A. Wessels may publish in the future.

Co-authorship network of co-authors of Lodewyk F.A. Wessels

This figure shows the co-authorship network connecting the top 25 collaborators of Lodewyk F.A. Wessels. A scholar is included among the top collaborators of Lodewyk F.A. Wessels 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 Lodewyk F.A. Wessels. Lodewyk F.A. Wessels 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.
Jong, Edwin D. de, Hugo M. Horlings, Clarisa Sánchez, et al.. (2025). Foundation Models in Medical Imaging: A Review and Outlook. ArXiv.org.
2.
Vis, Daniël J., Edwin Cuppen, Niven Mehra, et al.. (2025). Whole genome sequencing of 378 prostate cancer metastases reveals tissue selectivity for mismatch deficiency with potential therapeutic implications. Genome Medicine. 17(1). 24–24. 1 indexed citations
3.
Siefert, Joseph C., B. Cioni, Mauro J. Muraro, et al.. (2021). The Prognostic Potential of Human Prostate Cancer-Associated Macrophage Subtypes as Revealed by Single-Cell Transcriptomics. Molecular Cancer Research. 19(10). 1778–1791. 22 indexed citations
4.
Mourragui, Soufiane, Marco Loog, Daniël J. Vis, et al.. (2021). Predicting patient response with models trained on cell lines and patient-derived xenografts by nonlinear transfer learning. Proceedings of the National Academy of Sciences. 118(49). 24 indexed citations
5.
Bouwman, Peter, Ingrid van der Heijden, Hanneke van der Gulden, et al.. (2020). Functional Categorization of BRCA1 Variants of Uncertain Clinical Significance in Homologous Recombination Repair Complementation Assays. Clinical Cancer Research. 26(17). 4559–4568. 20 indexed citations
6.
Mourragui, Soufiane, Marco Loog, Mark A. van de Wiel, Marcel Reinders, & Lodewyk F.A. Wessels. (2019). PRECISE: a domain adaptation approach to transfer predictors of drug response from pre-clinical models to tumors. Bioinformatics. 35(14). i510–i519. 45 indexed citations
7.
Nagel, Remco, Nanne Aben, Natalie Proost, et al.. (2019). Inhibition of the Replication Stress Response Is a Synthetic Vulnerability in SCLC That Acts Synergistically in Combination with Cisplatin. Molecular Cancer Therapeutics. 18(4). 762–770. 25 indexed citations
8.
Singh, Abhishek A., Karianne Schuurman, Ekaterina Nevedomskaya, et al.. (2018). Optimized ChIP-seq method facilitates transcription factor profiling in human tumors. Life Science Alliance. 2(1). e201800115–e201800115. 28 indexed citations
9.
Lint, Klaas de, Jos B. Poell, Katarzyna Jastrzebski, et al.. (2016). Sensitizing Triple-Negative Breast Cancer to PI3K Inhibition by Cotargeting IGF1R. Molecular Cancer Therapeutics. 15(7). 1545–1556. 33 indexed citations
10.
Planells‐Cases, Rosa, Charlotte Guyader, Nora M. Gerhards, et al.. (2015). Subunit composition of VRAC channels determines substrate specificity and cellular resistance to P t‐based anti‐cancer drugs. The EMBO Journal. 34(24). 2993–3008. 209 indexed citations
11.
Jong, Monique C. de, Jelle J. ten Hoeve, Reidar Grénman, et al.. (2015). Pretreatment microRNA Expression Impacting on Epithelial-to-Mesenchymal Transition Predicts Intrinsic Radiosensitivity in Head and Neck Cancer Cell Lines and Patients. Clinical Cancer Research. 21(24). 5630–5638. 63 indexed citations
12.
Wijdeven, Ruud H., Baoxu Pang, Sabina Y. van der Zanden, et al.. (2015). Genome-Wide Identification and Characterization of Novel Factors Conferring Resistance to Topoisomerase II Poisons in Cancer. Cancer Research. 75(19). 4176–4187. 56 indexed citations
13.
Kemper, Kristel, Oscar Krijgsman, Paulien Cornelissen‐Steijger, et al.. (2015). Intra‐ and inter‐tumor heterogeneity in a vemurafenib‐resistant melanoma patient and derived xenografts. EMBO Molecular Medicine. 7(9). 1104–1118. 103 indexed citations
14.
Oosterkamp, Hendrika M., E. Marielle Hijmans, Thijn R. Brummelkamp, et al.. (2014). USP9X Downregulation Renders Breast Cancer Cells Resistant to Tamoxifen. Cancer Research. 74(14). 3810–3820. 37 indexed citations
15.
Rosell, Meritxell, Ekaterina Nevedomskaya, Suzan Stelloo, et al.. (2014). Complex Formation and Function of Estrogen Receptor α in Transcription Requires RIP140. Cancer Research. 74(19). 5469–5479. 21 indexed citations
16.
Jaspers, Janneke E., Wendy Sol, Ariena Kersbergen, et al.. (2014). BRCA2-Deficient Sarcomatoid Mammary Tumors Exhibit Multidrug Resistance. Cancer Research. 75(4). 732–741. 53 indexed citations
17.
Jansen, Maurice P.H.M., Theo Knijnenburg, Iris Simón, et al.. (2013). Hallmarks of Aromatase Inhibitor Drug Resistance Revealed by Epigenetic Profiling in Breast Cancer. Cancer Research. 73(22). 6632–6641. 57 indexed citations
18.
Middelbeek, Jeroen, Arthur J. Kuipers, Linda Henneman, et al.. (2012). TRPM7 Is Required for Breast Tumor Cell Metastasis. Cancer Research. 72(16). 4250–4261. 176 indexed citations
19.
Horlings, Hugo M., Carmen Lai, Dimitry S.A. Nuyten, et al.. (2010). Integration of DNA Copy Number Alterations and Prognostic Gene Expression Signatures in Breast Cancer Patients. Clinical Cancer Research. 16(2). 651–663. 48 indexed citations
20.
Kool, Jaap, Anthony G. Uren, Jeroen de Ridder, et al.. (2010). Novel Candidate Cancer Genes Identified by a Large-Scale Cross-Species Comparative Oncogenomics Approach. Cancer Research. 70(3). 883–895. 34 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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