Maaike P.G. Vreeswijk

6.1k total citations
50 papers, 1.7k citations indexed

About

Maaike P.G. Vreeswijk is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Maaike P.G. Vreeswijk has authored 50 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 27 papers in Genetics and 15 papers in Oncology. Recurrent topics in Maaike P.G. Vreeswijk's work include DNA Repair Mechanisms (25 papers), BRCA gene mutations in cancer (25 papers) and CRISPR and Genetic Engineering (17 papers). Maaike P.G. Vreeswijk is often cited by papers focused on DNA Repair Mechanisms (25 papers), BRCA gene mutations in cancer (25 papers) and CRISPR and Genetic Engineering (17 papers). Maaike P.G. Vreeswijk collaborates with scholars based in Netherlands, United Kingdom and United States. Maaike P.G. Vreeswijk's co-authors include Harry Vrieling, Peter Devilee, Christi J. van Asperen, Jan H.J. Hoeijmakers, A.A. van Zeeland, Dik C. van Gent, Carolien H. M. van Deurzen, Roland Kanaar, Marthe M. de Jonge and Kishan A.T. Naipal and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Maaike P.G. Vreeswijk

50 papers receiving 1.7k citations

Peers

Maaike P.G. Vreeswijk
Maaike P.G. Vreeswijk
Citations per year, relative to Maaike P.G. Vreeswijk Maaike P.G. Vreeswijk (= 1×) peers Elisabeth Mueller‐Holzner

Countries citing papers authored by Maaike P.G. Vreeswijk

Since Specialization
Citations

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

Fields of papers citing papers by Maaike P.G. Vreeswijk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maaike P.G. Vreeswijk. 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 Maaike P.G. Vreeswijk. The network helps show where Maaike P.G. Vreeswijk may publish in the future.

Co-authorship network of co-authors of Maaike P.G. Vreeswijk

This figure shows the co-authorship network connecting the top 25 collaborators of Maaike P.G. Vreeswijk. A scholar is included among the top collaborators of Maaike P.G. Vreeswijk 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 Maaike P.G. Vreeswijk. Maaike P.G. Vreeswijk 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.
Bueno‐Martínez, Elena, Pedro Pérez‐Segura, Mar Infante, et al.. (2023). Systematic Minigene-Based Splicing Analysis and Tentative Clinical Classification of 52 CHEK2 Splice-Site Variants. Clinical Chemistry. 70(1). 319–338. 5 indexed citations
2.
Llop‐Guevara, Alba, Elisa Yaniz‐Galende, Benedetta Pellegrino, et al.. (2023). RAD51 as a biomarker for homologous recombination deficiency in high‐grade serous ovarian carcinoma: robustness and interobserver variability of the RAD51 test. The Journal of Pathology Clinical Research. 9(6). 442–448. 3 indexed citations
3.
Wijk, Lise M. van, et al.. (2023). Performance of a RAD51-based functional HRD test on paraffin-embedded breast cancer tissue. Breast Cancer Research and Treatment. 202(3). 607–616. 2 indexed citations
4.
Boonen, Rick A.C.M., Maaike P.G. Vreeswijk, & Haico van Attikum. (2022). CHEK2 variants: linking functional impact to cancer risk. Trends in cancer. 8(9). 759–770. 21 indexed citations
5.
Boonen, Rick A.C.M., Wouter W. Wiegant, Bas Vroling, et al.. (2021). Functional Analysis Identifies Damaging CHEK2 Missense Variants Associated with Increased Cancer Risk. Cancer Research. 82(4). 615–631. 33 indexed citations
6.
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
7.
Monteiro, Álvaro N.A., Peter Bouwman, Arne Nedergaard Kousholt, et al.. (2020). Variants of uncertain clinical significance in hereditary breast and ovarian cancer genes: best practices in functional analysis for clinical annotation. Journal of Medical Genetics. 57(8). 509–518. 32 indexed citations
8.
Jonge, Marthe M. de, Lauren L. Ritterhouse, Cor D. de Kroon, et al.. (2019). Germline BRCA -Associated Endometrial Carcinoma Is a Distinct Clinicopathologic Entity. Clinical Cancer Research. 25(24). 7517–7526. 34 indexed citations
9.
Boonen, Rick A.C.M., Amélie Rodrigue, Chantal Stoepker, et al.. (2019). Functional analysis of genetic variants in the high-risk breast cancer susceptibility gene PALB2. Nature Communications. 10(1). 5296–5296. 40 indexed citations
10.
Jonge, Marthe M. de, Aurélie Auguste, Lise M. van Wijk, et al.. (2018). Frequent Homologous Recombination Deficiency in High-grade Endometrial Carcinomas. Clinical Cancer Research. 25(3). 1087–1097. 119 indexed citations
11.
Moghadasi, Setareh, Luc Janssen, Mar Rodríguez‐Girondo, et al.. (2017). Performance of BRCA1/2 mutation prediction models in male breast cancer patients. Clinical Genetics. 93(1). 52–59. 3 indexed citations
12.
Jonge, Marthe M. de, Antien L. Mooyaart, Maaike P.G. Vreeswijk, et al.. (2017). Linking uterine serous carcinoma to BRCA1/2-associated cancer syndrome: A meta-analysis and case report. European Journal of Cancer. 72. 215–225. 41 indexed citations
13.
Groot, Stefanie de, Maaike P.G. Vreeswijk, Marij J.P. Welters, et al.. (2015). The effects of short-term fasting on tolerance to (neo) adjuvant chemotherapy in HER2-negative breast cancer patients: a randomized pilot study. BMC Cancer. 15(1). 652–652. 173 indexed citations
14.
Naipal, Kishan A.T., Nicole S. Verkaik, Najim Ameziane, et al.. (2014). Functional Ex Vivo Assay to Select Homologous Recombination–Deficient Breast Tumors for PARP Inhibitor Treatment. Clinical Cancer Research. 20(18). 4816–4826. 124 indexed citations
15.
Guidugli, Lucia, Aura Carreira, Sandrine M. Caputo, et al.. (2013). Functional Assays for Analysis of Variants of Uncertain Significance inBRCA2. Human Mutation. 35(2). 151–164. 82 indexed citations
16.
Millot, Gaël A., Marcelo A. Carvalho, Sandrine M. Caputo, et al.. (2012). A guide for functional analysis ofBRCA1variants of uncertain significance. Human Mutation. 33(11). 1526–1537. 82 indexed citations
17.
Vreeswijk, Maaike P.G. & Heleen M. van der Klift. (2012). Analysis and Interpretation of RNA Splicing Alterations in Genes Involved in Genetic Disorders. Methods in molecular biology. 867. 49–63. 11 indexed citations
18.
Vreeswijk, Maaike P.G., Micheline Giphart-Gassler, Harry Vrieling, et al.. (2008). Site-specific analysis of UV-induced cyclobutane pyrimidine dimers in nucleotide excision repair-proficient and -deficient hamster cells: Lack of correlation with mutational spectra. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 663(1-2). 7–14. 4 indexed citations
19.
Vreeswijk, Maaike P.G., Jaco Kraan, Heleen M. van der Klift, et al.. (2008). Intronic variants inBRCA1andBRCA2that affect RNA splicing can be reliably selected by splice-site prediction programs. Human Mutation. 30(1). 107–114. 68 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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