Ronald van Beek

634 total citations
9 papers, 197 citations indexed

About

Ronald van Beek is a scholar working on Genetics, Molecular Biology and Surgery. According to data from OpenAlex, Ronald van Beek has authored 9 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 5 papers in Molecular Biology and 1 paper in Surgery. Recurrent topics in Ronald van Beek's work include Genetic and Kidney Cyst Diseases (3 papers), Genomic variations and chromosomal abnormalities (3 papers) and Genomics and Rare Diseases (2 papers). Ronald van Beek is often cited by papers focused on Genetic and Kidney Cyst Diseases (3 papers), Genomic variations and chromosomal abnormalities (3 papers) and Genomics and Rare Diseases (2 papers). Ronald van Beek collaborates with scholars based in Netherlands, United States and Australia. Ronald van Beek's co-authors include Kornelia Neveling, Tuomo Mantere, Michiel Oorsprong, Marian Stevens‐Kroef, Marc Pauper, Alexander Hoischen, Ellen Kater‐Baats, Dominique Smeets, Daniël Olde Weghuis and Mieke F. Roelofs and has published in prestigious journals such as The Journal of Immunology, Genome Research and The American Journal of Human Genetics.

In The Last Decade

Ronald van Beek

8 papers receiving 183 citations

Peers

Ronald van Beek

GENET

MB

IMMUN

CR

HEMAT

Detlef Trost France

Rashesh Sanghvi United Kingdom

Yuichiro Semba Japan

Alix Rousseau France

Zhanhe Wu Australia

Lori Jukofsky United States

Yvonne Lisa Behrens Germany

William Fergusson United Kingdom

Xiangyu Ge United Kingdom

Johannes Ihle Germany

Detlef Trost France

Ronald van Beek

124 ×1.5

GENET

224 ×3.2

MB

17 ×0.4

IMMUN

40 ×1.0

CR

39 ×1.0

HEMAT

Citations per year, relative to Ronald van Beek Ronald van Beek (= 1×) peers Detlef Trost

Countries citing papers authored by Ronald van Beek

Since Specialization

Citations

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

Fields of papers citing papers by Ronald van Beek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronald van Beek

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Bruijn, Suzanne E. de, L. Ingeborgh van den Born, Ronny Derks, et al.. (2025). Long-read technologies identify a hidden LINE-1/ERV1 insertion in IQCB1 as causative variant for Senior-Løken syndrome. npj Genomic Medicine. 10(1). 33–33.

2.

Neveling, Kornelia, Michael D. Gallagher, Joyce Lee, et al.. (2025). Optical genome mapping enables accurate testing of large repeat expansions. Genome Research. 35(4). 810–823. 2 indexed citations

3.

Pennings, Maartje, Michael Kwint, Jeroen van Reeuwijk, et al.. (2024). Uncovering recessive alleles in rare Mendelian disorders by genome sequencing of 174 individuals with monoallelic pathogenic variants. European Journal of Human Genetics. 33(1). 56–64. 1 indexed citations

4.

Haer‐Wigman, Lonneke, Ralph J. Florijn, Ronald van Beek, et al.. (2024). Utilization of automated cilia analysis to characterize novel INPP5E variants in patients with non-syndromic retinitis pigmentosa. European Journal of Human Genetics. 32(11). 1412–1418. 1 indexed citations

5.

Walczak‐Sztulpa, Joanna, Anna Wawrocka, Ronald van Beek, et al.. (2022). Identical IFT140 Variants Cause Variable Skeletal Ciliopathy Phenotypes—Challenges for the Accurate Diagnosis. Frontiers in Genetics. 13. 931822–931822. 5 indexed citations

6.

Neveling, Kornelia, Tuomo Mantere, Michiel Oorsprong, et al.. (2021). Next-generation cytogenetics: Comprehensive assessment of 52 hematological malignancy genomes by optical genome mapping. The American Journal of Human Genetics. 108(8). 1423–1435. 110 indexed citations

7.

Beek, Ronald van, Ernie M.H.F. Bongers, Dorien Lugtenberg, et al.. (2021). Cell-based assay for ciliopathy patients to improve accurate diagnosis using ALPACA. European Journal of Human Genetics. 29(11). 1677–1689. 11 indexed citations

8.

Verhoeven, W.M.A., J.I.M. Egger, Joop P. van den Bergh, et al.. (2014). A 12q24.31 interstitial deletion in an adult male with MODY3: Neuropsychiatric and neuropsychological characteristics. American Journal of Medical Genetics Part A. 167(1). 169–173. 14 indexed citations

9.

Wenink, Mark H., Kim C. M. Santegoets, Mieke F. Roelofs, et al.. (2009). The Inhibitory FcγIIb Receptor Dampens TLR4-Mediated Immune Responses and Is Selectively Up-regulated on Dendritic Cells from Rheumatoid Arthritis Patients with Quiescent Disease. The Journal of Immunology. 183(7). 4509–4520. 53 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.

Explore authors with similar magnitude of impact