Anke van Rijk

827 total citations
8 papers, 588 citations indexed

About

Anke van Rijk is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Anke van Rijk has authored 8 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Anke van Rijk's work include CRISPR and Genetic Engineering (2 papers), Plant Virus Research Studies (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). Anke van Rijk is often cited by papers focused on CRISPR and Genetic Engineering (2 papers), Plant Virus Research Studies (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). Anke van Rijk collaborates with scholars based in Netherlands, Italy and Kenya. Anke van Rijk's co-authors include Eric Schoenmakers, H. Bloemendal, Erik Huys, Ad Geurts van Kessel, Huub Straatman, Han G. Brunner, Conny M.A. van Ravenswaaij‐Arts, Ineke van der Burgt, Pieter J. de Jong and Irene M. Janssen and has published in prestigious journals such as Cancer Research, The American Journal of Human Genetics and The Journal of Pathology.

In The Last Decade

Anke van Rijk

7 papers receiving 571 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anke van Rijk Netherlands	7	342	283	144	106	90	8	588
D. C. Burford United Kingdom	6	394 1.2×	324 1.1×	210 1.5×	70 0.7×	62 0.7×	6	583
Christa M. Lese United States	8	438 1.3×	313 1.1×	168 1.2×	157 1.5×	37 0.4×	12	598
Stephen Laderman United States	4	541 1.6×	436 1.5×	211 1.5×	126 1.2×	30 0.3×	4	783
D L Van Dyke United States	9	301 0.9×	282 1.0×	110 0.8×	72 0.7×	65 0.7×	11	540
Colyn B. Cargile United States	7	204 0.6×	243 0.9×	66 0.5×	35 0.3×	84 0.9×	8	416
M.A. Hultén United Kingdom	15	440 1.3×	447 1.6×	263 1.8×	324 3.1×	41 0.5×	20	930
Chiara Perfumo Italy	11	211 0.6×	173 0.6×	75 0.5×	95 0.9×	29 0.3×	17	357
Anne W. Higgins United States	11	360 1.1×	529 1.9×	409 2.8×	143 1.3×	30 0.3×	17	885
K. L. Ying United States	12	252 0.7×	267 0.9×	81 0.6×	75 0.7×	53 0.6×	18	497
Judith Dagan Israel	12	223 0.7×	231 0.8×	88 0.6×	96 0.9×	24 0.3×	27	457

Countries citing papers authored by Anke van Rijk

Since Specialization

Citations

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

Fields of papers citing papers by Anke van Rijk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anke van Rijk

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

All Works

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8 of 8 papers shown

Rijk, Anke van, Menno Tamminga, Frank J.G. Scherpen, et al.. (2021). Clinical Value of EGFR Copy Number Gain Determined by Amplicon-Based Targeted Next Generation Sequencing in Patients with EGFR-Mutated NSCLC. Targeted Oncology. 16(2). 215–226. 9 indexed citations

Rijk, Anke van, Menno Tamminga, Frank J.G. Scherpen, et al.. (2020). Abstract 4335: Clinical value of EGFR gene amplifications detected using amplicon based targeted next generation sequencing data in lung adenocarcinoma patients. Cancer Research. 80(16_Supplement). 4335–4335.

Rijk, Anke van, Erik Huys, M. Kersten, et al.. (2009). Characterization of a recurrent t(1;2)(p36;p24) in human uterine leiomyoma. Cancer Genetics and Cytogenetics. 193(1). 54–62. 12 indexed citations

Rijk, Anke van, Tim Svenstrup Poulsen, Margaret T. Jones, et al.. (2009). Double-staining chromogenic in situ hybridization as a useful alternative to split-signal fluorescence in situ hybridization in lymphoma diagnostics. Haematologica. 95(2). 247–252. 11 indexed citations

Leucci, Eleonora, Mario Cocco, Anna Onnis, et al.. (2008). MYC translocation‐negative classical Burkitt lymphoma cases: an alternative pathogenetic mechanism involving miRNA deregulation. The Journal of Pathology. 216(4). 440–450. 140 indexed citations

Vissers, Lisenka E.L.M., Bert B.A. de Vries, Kazutoyo Osoegawa, et al.. (2003). Array-Based Comparative Genomic Hybridization for the Genomewide Detection of Submicroscopic Chromosomal Abnormalities. The American Journal of Human Genetics. 73(6). 1261–1270. 348 indexed citations

Rijk, Anke van, et al.. (2003). Molecular Mechanisms of Exon Shuffling: Illegitimate Recombination. Genetica. 118(2-3). 245–249. 29 indexed citations

Rijk, Anke van & H. Bloemendal. (2003). Molecular mechanisms of exon shuffling: illegitimate recombination. 245–249. 39 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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