Katrijn Van Deun

1.9k total citations
58 papers, 1.1k citations indexed

About

Katrijn Van Deun is a scholar working on Statistics and Probability, Molecular Biology and Analytical Chemistry. According to data from OpenAlex, Katrijn Van Deun has authored 58 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 15 papers in Molecular Biology and 8 papers in Analytical Chemistry. Recurrent topics in Katrijn Van Deun's work include Statistical Methods and Inference (10 papers), Gene expression and cancer classification (9 papers) and Advanced Statistical Methods and Models (8 papers). Katrijn Van Deun is often cited by papers focused on Statistical Methods and Inference (10 papers), Gene expression and cancer classification (9 papers) and Advanced Statistical Methods and Models (8 papers). Katrijn Van Deun collaborates with scholars based in Netherlands, Belgium and United States. Katrijn Van Deun's co-authors include Iven Van Mechelen, Lieven Thorrez, Leentje Van Lommel, Age K. Smilde, Frans Schuit, Henk A. L. Kiers, Martijn Schouteden, Mariët J. van der Werf, Kathleen Marchal and Kristof Engelen and has published in prestigious journals such as Bioinformatics, PLoS ONE and Cancer.

In The Last Decade

Katrijn Van Deun

56 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katrijn Van Deun Netherlands 15 389 133 128 113 107 58 1.1k
Ying Guo United States 26 444 1.1× 92 0.7× 122 1.0× 72 0.6× 171 1.6× 157 2.3k
Yinsheng Qu United States 17 693 1.8× 381 2.9× 62 0.5× 82 0.7× 21 0.2× 28 1.8k
Isobel Claire Gormley Ireland 17 153 0.4× 116 0.9× 92 0.7× 36 0.3× 12 0.1× 44 744
S. Stanley Young United States 18 439 1.1× 425 3.2× 124 1.0× 32 0.3× 19 0.2× 56 1.6k
Yiwei Zhang China 13 265 0.7× 72 0.5× 121 0.9× 58 0.5× 36 0.3× 78 1.1k
Dongjun Chung United States 20 764 2.0× 41 0.3× 359 2.8× 47 0.4× 18 0.2× 85 1.5k
Gary L. Gadbury United States 17 445 1.1× 321 2.4× 146 1.1× 36 0.3× 17 0.2× 43 1.2k
Tianying Wang China 22 616 1.6× 42 0.3× 57 0.4× 56 0.5× 17 0.2× 93 1.4k
Mohieddin Jafari Iran 18 613 1.6× 12 0.1× 57 0.4× 60 0.5× 31 0.3× 46 1.4k
Xinlian Zhang United States 22 527 1.4× 41 0.3× 34 0.3× 81 0.7× 7 0.1× 57 1.3k

Countries citing papers authored by Katrijn Van Deun

Since Specialization
Citations

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

Fields of papers citing papers by Katrijn Van Deun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katrijn Van Deun. 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 Katrijn Van Deun. The network helps show where Katrijn Van Deun may publish in the future.

Co-authorship network of co-authors of Katrijn Van Deun

This figure shows the co-authorship network connecting the top 25 collaborators of Katrijn Van Deun. A scholar is included among the top collaborators of Katrijn Van Deun 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 Katrijn Van Deun. Katrijn Van Deun 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.
Stekelenburg, Jeroen J., et al.. (2025). Dissociating Affective Salience and Valence in (Very) Long‐Latency ERPs. Psychophysiology. 62(3). e70030–e70030. 2 indexed citations
2.
3.
Mols, Floortje, Dounya Schoormans, Romana T. Netea‐Maier, et al.. (2023). Determinants and mediating mechanisms of quality of life and disease-specific symptoms among thyroid cancer patients: the design of the WaTCh study. Thyroid Research. 16(1). 23–23. 4 indexed citations
4.
Puijenbroek, Eugène van, et al.. (2023). Infections in Biological and Targeted Synthetic Drug Use in Rheumatoid Arthritis: Where do We Stand? A Scoping Review and Meta-analysis. Rheumatology and Therapy. 10(5). 1147–1165. 4 indexed citations
5.
Sijtsma, Klaas, et al.. (2022). Sparsifying the least-squares approach to PCA: comparison of lasso and cardinality constraint. Advances in Data Analysis and Classification. 17(1). 269–286. 1 indexed citations
6.
Yuan, Shuai, Kim De Roover, & Katrijn Van Deun. (2022). Simultaneous clustering and variable selection: A novel algorithm and model selection procedure. Behavior Research Methods. 55(5). 2157–2174. 2 indexed citations
7.
Rooij, Belle H. de, Simone Oerlemans, Katrijn Van Deun, et al.. (2021). Symptom clusters in 1330 survivors of 7 cancer types from the PROFILES registry: A network analysis. Cancer. 127(24). 4665–4674. 51 indexed citations
8.
Deun, Katrijn Van, et al.. (2020). Model selection techniques for sparse weight‐based principal component analysis. Journal of Chemometrics. 35(2). 3 indexed citations
9.
Deun, Katrijn Van, et al.. (2018). Obtaining insights from high-dimensional data: sparse principal covariates regression. BMC Bioinformatics. 19(1). 104–104. 6 indexed citations
10.
Vermunt, Jeroen K., et al.. (2018). Bayesian Multilevel Latent Class Models for the Multiple Imputation of Nested Categorical Data. Journal of Educational and Behavioral Statistics. 43(5). 511–539. 9 indexed citations
11.
Deun, Katrijn Van, Lieven Thorrez, Robert A. van den Berg, Age K. Smilde, & Iven Van Mechelen. (2015). Not Just a Sum? Identifying Different Types of Interplay between Constituents in Combined Interventions. PLoS ONE. 10(5). e0125334–e0125334. 3 indexed citations
12.
Ebner‐Priemer, Ulrich, Marlies Houben, Philip Santangelo, et al.. (2015). Unraveling affective dysregulation in borderline personality disorder: A theoretical model and empirical evidence.. Journal of Abnormal Psychology. 124(1). 186–198. 96 indexed citations
13.
Schouteden, Martijn, et al.. (2013). SCA with rotation to distinguish common and distinctive information in linked data. Behavior Research Methods. 45(3). 822–833. 35 indexed citations
14.
Doove, Lisa, Elise Dusseldorp, Katrijn Van Deun, & Iven Van Mechelen. (2013). A comparison of five recursive partitioning methods to find person subgroups involved in meaningful treatment–subgroup interactions. Advances in Data Analysis and Classification. 8(4). 403–425. 44 indexed citations
15.
Deun, Katrijn Van, Iven Van Mechelen, Lieven Thorrez, et al.. (2012). DISCO-SCA and Properly Applied GSVD as Swinging Methods to Find Common and Distinctive Processes. PLoS ONE. 7(5). e37840–e37840. 32 indexed citations
16.
Schouteden, Martijn, Katrijn Van Deun, & Iven Van Mechelen. (2012). ECO-POWER: A novel method to reveal common mechanisms underlying linked data. 757–768. 2 indexed citations
17.
Thorrez, Lieven, Ilaria Laudadio, Katrijn Van Deun, et al.. (2010). Tissue-specific disallowance of housekeeping genes: The other face of cell differentiation. Genome Research. 21(1). 95–105. 146 indexed citations
18.
Deun, Katrijn Van, et al.. (2007). Multidimensional Unfolding by Nonmetric Multidimensional Scaling of Spearman Distances in the Extended Permutation Polytope. Multivariate Behavioral Research. 42(1). 103–132. 9 indexed citations
19.
Deun, Katrijn Van, et al.. (2005). VIPSCAL: A combined vector ideal point model for preference data. RePEc: Research Papers in Economics. 5 indexed citations
20.
Deun, Katrijn Van & Patrick J. F. Groenen. (2005). Majorization Algorithms for Inspecting Circles, Ellipses, Squares, Rectangles, and Rhombi. Operations Research. 53(6). 957–967. 1 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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