Maarten van Iterson

13.2k total citations
25 papers, 1.2k citations indexed

About

Maarten van Iterson is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Maarten van Iterson has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Maarten van Iterson's work include RNA modifications and cancer (6 papers), Epigenetics and DNA Methylation (5 papers) and Gene expression and cancer classification (5 papers). Maarten van Iterson is often cited by papers focused on RNA modifications and cancer (6 papers), Epigenetics and DNA Methylation (5 papers) and Gene expression and cancer classification (5 papers). Maarten van Iterson collaborates with scholars based in Netherlands, United States and Germany. Maarten van Iterson's co-authors include Bastiaan T. Heijmans, Erik W. van Zwet, Peter A.C. ’t Hoen, Marieke Simonis, Sebastiaan van Heesch, Edwin Cuppen, Paul Essers, Alyson W. MacInnes, Sander Boymans and Ewart de Bruijn and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Maarten van Iterson

25 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maarten van Iterson Netherlands 18 942 348 226 104 102 25 1.2k
M. Reza Sailani United States 15 564 0.6× 202 0.6× 208 0.9× 72 0.7× 161 1.6× 20 1.0k
Hehuang Xie United States 19 1.1k 1.2× 154 0.4× 274 1.2× 106 1.0× 55 0.5× 68 1.4k
Shijie Zheng China 15 1.1k 1.2× 263 0.8× 217 1.0× 164 1.6× 87 0.9× 27 1.4k
Konsta Duesing Australia 20 611 0.6× 266 0.8× 137 0.6× 41 0.4× 95 0.9× 28 1.2k
Glenn A. Doyle United States 19 722 0.8× 306 0.9× 182 0.8× 65 0.6× 153 1.5× 50 1.4k
Georgios Tzimagiorgis Greece 17 677 0.7× 227 0.7× 105 0.5× 58 0.6× 128 1.3× 56 1.2k
Weihua Zhang China 17 677 0.7× 109 0.3× 262 1.2× 63 0.6× 75 0.7× 55 1.1k
Shigang Zhao China 22 508 0.5× 178 0.5× 182 0.8× 206 2.0× 68 0.7× 97 1.6k
Benjamín Rodríguez‐Santiago Spain 19 523 0.6× 86 0.2× 433 1.9× 104 1.0× 79 0.8× 39 1.0k

Countries citing papers authored by Maarten van Iterson

Since Specialization
Citations

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

Fields of papers citing papers by Maarten van Iterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maarten van Iterson

This figure shows the co-authorship network connecting the top 25 collaborators of Maarten van Iterson. A scholar is included among the top collaborators of Maarten van Iterson 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 Maarten van Iterson. Maarten van Iterson 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.
Dekkers, Koen F., Roderick C. Slieker, Andreea Ioan‐Facsinay, et al.. (2023). Lipid-induced transcriptomic changes in blood link to lipid metabolism and allergic response. Nature Communications. 14(1). 544–544. 10 indexed citations
2.
3.
Ouwens, Klaasjan G., Rick Jansen, Michel G. Nivard, et al.. (2019). A characterization of cis- and trans-heritability of RNA-Seq-based gene expression. European Journal of Human Genetics. 28(2). 253–263. 21 indexed citations
4.
Yousefi, Soheil, Tooba Abbassi‐Daloii, Thirsa Kraaijenbrink, et al.. (2018). A SNP panel for identification of DNA and RNA specimens. BMC Genomics. 19(1). 90–90. 36 indexed citations
5.
Iterson, Maarten van, Davy Cats, Paul J. Hop, & Bastiaan T. Heijmans. (2018). omicsPrint: detection of data linkage errors in multiple omics studies. Bioinformatics. 34(12). 2142–2143. 18 indexed citations
6.
Iterson, Maarten van, Erik W. van Zwet, & Bastiaan T. Heijmans. (2017). Controlling bias and inflation in epigenome- and transcriptome-wide association studies using the empirical null distribution. Genome biology. 18(1). 19–19. 213 indexed citations
7.
Middelkamp, Sjors, Sebastiaan van Heesch, A. Koen Braat, et al.. (2017). Molecular dissection of germline chromothripsis in a developmental context using patient-derived iPS cells. Genome Medicine. 9(1). 9–9. 25 indexed citations
8.
9.
Ding, Yuan-Chun, Huiqing Wu, Charles Warden, et al.. (2016). Gene Expression Differences in Prostate Cancers between Young and Old Men. PLoS Genetics. 12(12). e1006477–e1006477. 29 indexed citations
10.
Iterson, Maarten van. (2016). Quality control, probe/sample filtering and normalization of Infinium HumanMethylation450 BeadChip data: 'The Leiden Approach'. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
11.
Iterson, Maarten van, Sander Bervoets, Emile J. de Meijer, et al.. (2013). Integrated analysis of microRNA and mRNA expression: adding biological significance to microRNA target predictions. Nucleic Acids Research. 41(15). e146–e146. 57 indexed citations
12.
Iterson, Maarten van, Floor A.M. Duijkers, Jules P.P. Meijerink, et al.. (2012). A Novel and Fast Normalization Method for High-Density Arrays. Statistical Applications in Genetics and Molecular Biology. 11(4). 2 indexed citations
13.
Putten, Maaike van, Margriet Hulsker, Vishna Devi Nadarajah, et al.. (2012). The Effects of Low Levels of Dystrophin on Mouse Muscle Function and Pathology. PLoS ONE. 7(2). e31937–e31937. 89 indexed citations
14.
Iterson, Maarten van, Herman H. H. B. M. van Haagen, & Jelle J. Goeman. (2012). Resolving confusion of tongues in statistics and machine learning: A primer for biologists and bioinformaticians. PROTEOMICS. 12(4-5). 543–549. 6 indexed citations
15.
Putten, Maaike van, Darshan Kumar, Margriet Hulsker, et al.. (2012). Comparison of skeletal muscle pathology and motor function of dystrophin and utrophin deficient mouse strains. Neuromuscular Disorders. 22(5). 406–417. 61 indexed citations
16.
Putten, Maaike van, Margriet Hulsker, Sandra H. van Heiningen, et al.. (2011). P1.23 The effects of low dystrophin levels on muscle function and pathology. Neuromuscular Disorders. 21(9-10). 648–648. 3 indexed citations
17.
Iterson, Maarten van, Judith M. Boer, & Renée X. de Menezes. (2010). Filtering, FDR and power. BMC Bioinformatics. 11(1). 450–450. 36 indexed citations
18.
Iterson, Maarten van, et al.. (2009). Relative power and sample size analysis on gene expression profiling data. BMC Genomics. 10(1). 439–439. 59 indexed citations
19.
Jonker, Martijs J., Oskar Bruning, Maarten van Iterson, et al.. (2009). Finding transcriptomics biomarkers for in vivo identification of (non-)genotoxic carcinogens using wild-type and Xpa/p53 mutant mouse models. Carcinogenesis. 30(10). 1805–1812. 21 indexed citations
20.
Kazius, Jeroen, et al.. (2007). GPCR NaVa database: natural variants in human G protein-coupled receptors. Human Mutation. 29(1). 39–44. 37 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

Breakdown of academic impact, for papers by M. Reza Sailani Breakdown of academic impact, for papers by Hehuang Xie Breakdown of academic impact, for papers by Shijie Zheng Breakdown of academic impact, for papers by Konsta Duesing Breakdown of academic impact, for papers by Glenn A. Doyle Breakdown of academic impact, for papers by Georgios Tzimagiorgis Breakdown of academic impact, for papers by Weihua Zhang Breakdown of academic impact, for papers by Shigang Zhao Breakdown of academic impact, for papers by Benjamín Rodríguez‐Santiago
Rankless by CCL
2026