Mark A. van de Wiel

10.5k citations

165 papers · 7.3k indexed · 2 hit papers · h-index 41

Co-authors: Achim Zeileis Kurt Hornik Torsten Hothorn Wessel N. van Wieringen Bauke Ylstra Gerrit A. Meijer Saskia M. Wilting Beatriz Carvalho
Topics: Gene expression and cancer classification (41 papers)Genomic variations and chromosomal abnormalities (21 papers)Statistical Methods and Inference (20 papers)
Cited by: Cancer Research Otorhinolaryngology Statistics and Probability
Journals: Proceedings of the National Academy of Sciences Nature CommunicationsSHILAP Revista de lepidopterología
Partner nations: Netherlands United States United Kingdom

In The Last Decade

Mark A. van de Wiel

159 papers receiving 7.1k citations

Hit Papers

align trajectories

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.

Implementing a Class of Permutation Tests: ThecoinPackage

2008 1.0k citations Torsten Hothorn, Kurt Hornik et al. profile →
A Lego System for Conditional Inference

2006 628 citations Torsten Hothorn, Kurt Hornik et al. profile →

Peers

Countries citing papers authored by Mark A. van de Wiel

Since Specialization

Citations

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

Fields of papers citing papers by Mark A. van de Wiel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. van de Wiel. 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 Mark A. van de Wiel. The network helps show where Mark A. van de Wiel may publish in the future.

Co-authorship network of co-authors of Mark A. van de Wiel

This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. van de Wiel. A scholar is included among the top collaborators of Mark A. van de Wiel 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 Mark A. van de Wiel. Mark A. van de Wiel 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:

20 of 20 papers shown

#	Work	Indexed citations
1	A flexible model for record linkage 2025 ·Journal of the Royal Statistical Society Series C (Applied Statistics) ·(unknown),Stéphanie van der Pas,Mark A. van de Wiel,Michel H. Hof	0
2	Stress T1 mapping and quantitative perfusion cardiovascular magnetic resonance in patients with suspected obstructive coronary artery disease 2025 ·European Heart Journal - Cardiovascular Imaging ·Sonia Borodzicz-Jażdżyk,(unknown),(unknown),Mark A. van de Wiel,Mitchel Benovoy,Marco Götte	0
3	Linked shrinkage to improve estimation of interaction effects in regression models 2024 ·PubMed ·Mark A. van de Wiel,(unknown),Jeroen Hoogland	2
4	Hallmarks of a genomically distinct subclass of head and neck cancer 2024 ·Nature Communications ·(unknown),Irene H. Nauta,(unknown),K Grünewald,Arjen Brink,(unknown),Robert J. Baatenburg de Jong,Lilit Atanesyan,Suvi Savola,Mark A. van de Wiel,Laura A. N. Peferoen,Elisabeth Bloemena,Rieneke van de Ven,C. René Leemans,Jos B. Poell,Ruud H. Brakenhoff	7
5	Magnetic resonance imaging based radiomics prediction of Human Papillomavirus infection status and overall survival in oropharyngeal squamous cell carcinoma 2023 ·Oral Oncology ·(unknown),Steven W. Mes,(unknown),Roland M. Martens,C. René Leemans,Ronald Boellaard,Mark A. van de Wiel,Pim de Graaf	17
6	ecpc: an R-package for generic co-data models for high-dimensional prediction 2023 ·BMC Bioinformatics ·(unknown),Lodewyk F.A. Wessels,Mark A. van de Wiel	1
7	Predicting patient response with models trained on cell lines and patient-derived xenografts by nonlinear transfer learning 2021 ·Proceedings of the National Academy of Sciences ·Soufiane Mourragui,Marco Loog,Daniël J. Vis,Kat Moore,(unknown),Mark A. van de Wiel,Marcel Reinders,Lodewyk F.A. Wessels	24
8	Molecular Characterization of Locally Relapsed Head and Neck Cancer after Concomitant Chemoradiotherapy 2019 ·Clinical Cancer Research ·Reinout H. de Roest,Steven W. Mes,Jos B. Poell,Arjen Brink,Mark A. van de Wiel,Elisabeth Bloemena,(unknown),Tito Poli,C. René Leemans,Ruud H. Brakenhoff	17
9	PRECISE: a domain adaptation approach to transfer predictors of drug response from pre-clinical models to tumors 2019 ·Bioinformatics ·Soufiane Mourragui,Marco Loog,Mark A. van de Wiel,Marcel Reinders,Lodewyk F.A. Wessels	45
10	Identification and Validation of a 3-Gene Methylation Classifier for HPV-Based Cervical Screening on Self-Samples 2018 ·Clinical Cancer Research ·Wina Verlaat,Barbara C. Snoek,Daniëlle A.M. Heideman,Saskia M. Wilting,Peter J.F. Snijders,Putri W. Novianti,Annina P. van Splunter,Carel F.W. Peeters,Nienke E. van Trommel,Leon F.A.G. Massuger,Ruud L.M. Bekkers,Willem J. G. Melchers,Folkert J. van Kemenade,Johannes Berkhof,Mark A. van de Wiel,Chris J.L.M. Meijer,Renske D.M. Steenbergen	57
11	Genome‐wide microRNA analysis of HPV‐positive self‐samples yields novel triage markers for early detection of cervical cancer 2018 ·International Journal of Cancer ·Barbara C. Snoek,Wina Verlaat,(unknown),Putri W. Novianti,Mark A. van de Wiel,Saskia M. Wilting,Nienke E. van Trommel,Maaike C.G. Bleeker,Leon F.A.G. Massuger,Willem J. G. Melchers,Daoud Sie,Daniëlle A.M. Heideman,Peter J.F. Snijders,Chris J.L.M. Meijer,Renske D.M. Steenbergen	30
12	tigaR: integrative significance analysis of temporal differential gene expression induced by genomic abnormalities 2014 ·BMC Bioinformatics ·(unknown),Saskia M. Wilting,Mark A. van de Wiel,Annelieke Jaspers,Paula I. van Noort,Ruud H. Brakenhoff,Peter J.F. Snijders,Renske D.M. Steenbergen,Wessel N. van Wieringen	2
13	RNA Sequencing of Creatine Transporter (SLC6A8) Deficient Fibroblasts Reveals Impairment of the Extracellular Matrix 2014 ·Human Mutation ·Benjamin Nota,Joseph Ndika,Jiddeke M. van de Kamp,Warsha A. Kanhai,Silvy J.M. van Dooren,Mark A. van de Wiel,Gerard Pals,Gajja S. Salomons	9
14	Chromosome 5q Loss in Colorectal Flat Adenomas 2012 ·Clinical Cancer Research ·Quirinus J.M. Voorham,Beatriz Carvalho,(unknown),Nicole C.T. van Grieken,Sandra Mongera,Eveline Rondagh,Mark A. van de Wiel,Ekaterina S. Jordanova,Bauke Ylstra,(unknown),Heike I. Grabsch,Björn Rembacken,Tomio Arai,Adriaan P. de Bruı̈ne,Silvia Sanduleanu,Philip Quirke,Chris J.J. Mulder,Manon van Engeland,Gerrit A. Meijer	26
15	TPX2 and AURKA promote 20q amplicon-driven colorectal adenoma to carcinoma progression 2011 ·Gut ·Anke H. Sillars-Hardebol,Beatriz Carvalho,Marianne Tijssen,Jeroen A.M. Beliën,Meike de Wit,Pien M. Delis‐van Diemen,Fredrik Pontén,Mark A. van de Wiel,Remond J.A. Fijneman,Gerrit A. Meijer	108
16	A Random Coefficients Model for Regional Co-Expression Associated with DNA Copy Number 2010 ·Statistical Applications in Genetics and Molecular Biology ·Wessel N. van Wieringen,Johannes Berkhof,Mark A. van de Wiel	6
17	Spatial Clustering of Array CGH Features in Combination with Hierarchical Multiple Testing 2010 ·Statistical Applications in Genetics and Molecular Biology ·(unknown),Étienne Roquain,Mark A. van de Wiel	3
18	Support Vector Machine Approach to Separate Control and Breast Cancer Serum Samples 2008 ·Statistical Applications in Genetics and Molecular Biology ·Thang V. Pham,Mark A. van de Wiel,Connie R. Jiménez	7
19	Implementing a class of permutation tests: The coin package 2007 ·SHILAP Revista de lepidopterología ·Torsten Hothorn,Kurt Hornik,Mark A. van de Wiel,Achim Zeileis	154
20	Expression Microarray Analysis and Oligo Array Comparative Genomic Hybridization of Acquired Gemcitabine Resistance in Mouse Colon Reveals Selection for Chromosomal Aberrations 2005 ·Cancer Research ·Mark A. van de Wiel,José Luís Costa,Kees Smid,Cees B.M. Oudejans,Andries M. Bergman,Gerrit A. Meijer,Godefridus J. Peters,Bauke Ylstra	24

About Mark A. van de Wiel

Mark A. van de Wiel is a scholar working on Statistics and Probability, Cancer Research and Otorhinolaryngology, having authored 165 papers that have together received 7.3k indexed citations. Recurring topics across this work include Gene expression and cancer classification (41 papers), Genomic variations and chromosomal abnormalities (21 papers) and Statistical Methods and Inference (20 papers). The work is most often cited by research in Cancer Research (1.8k citations), Otorhinolaryngology (310 citations) and Statistics and Probability (383 citations). Mark A. van de Wiel has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Achim Zeileis, Kurt Hornik, Torsten Hothorn, Wessel N. van Wieringen, Bauke Ylstra, Gerrit A. Meijer, Saskia M. Wilting, Beatriz Carvalho, Ruud H. Brakenhoff and Peter J.F. Snijders. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

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