Katrijn Van Deun
- Molecular Biology
- Statistics and Probability top 5%
- Genetics
- Surgery
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Iven Van MechelenLieven ThorrezLeentje Van LommelAge K. SmildeFrans SchuitHenk A. L. KiersMariët J. van der WerfMartijn Schouteden
- Topics
- Statistical Methods and Inference (10 papers)Gene expression and cancer classification (9 papers)Advanced Statistical Methods and Models (8 papers)
- Journals
- BioinformaticsPLoS ONECancer
- Partner nations
- NetherlandsBelgiumUnited States
In The Last Decade
Katrijn Van Deun
56 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 147
- Molecular Biology 389
- Statistics and Probability 133
- Genetics 128
- Surgery 113
- Experimental and Cognitive Psychology 107
Countries citing papers authored by Katrijn Van Deun
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 51 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 96 | |
| 13 | 35 | |
| 14 | 32 | |
| 15 | 32 | |
| 16 | 146 | |
| 17 | 165 | |
| 18 | 9 | |
| 19 | 8 | |
| 20 | VIPSCAL: A combined vector ideal point model for preference data | 5 |
About Katrijn Van Deun
Katrijn Van Deun is a scholar working on Statistics and Probability, Computational Mathematics and Analytical Chemistry, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (10 papers), Gene expression and cancer classification (9 papers) and Advanced Statistical Methods and Models (8 papers). The work is most often cited by research in Computational Mathematics (27 citations), Statistics and Probability (133 citations) and Analytical Chemistry (101 citations). Katrijn Van Deun has collaborated with scholars based in Netherlands, Belgium and United States. Frequent co-authors include Iven Van Mechelen, Lieven Thorrez, Leentje Van Lommel, Age K. Smilde, Frans Schuit, Henk A. L. Kiers, Mariët J. van der Werf, Martijn Schouteden, Kristof Engelen and Kathleen Marchal. Their work appears in journals such as Bioinformatics, PLoS ONE and Cancer.
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.