Koen Theunis

1.0k total citations · 1 hit paper
10 papers, 662 citations indexed

About

Koen Theunis is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Cancer Research. According to data from OpenAlex, Koen Theunis has authored 10 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Pediatrics, Perinatology and Child Health and 3 papers in Cancer Research. Recurrent topics in Koen Theunis's work include Single-cell and spatial transcriptomics (4 papers), Cancer Genomics and Diagnostics (3 papers) and Prenatal Screening and Diagnostics (3 papers). Koen Theunis is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Cancer Genomics and Diagnostics (3 papers) and Prenatal Screening and Diagnostics (3 papers). Koen Theunis collaborates with scholars based in Belgium, United Kingdom and United States. Koen Theunis's co-authors include Thierry Voet, Parveen Kumar, Niels van der Aa, Elia Fernandez Gallardo, Helen Bolton, Sarah J. L. Graham, Magdalena Zernicka‐Goetz, Stein Aerts, Gert Hulselmans and Valerie Christiaens and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Koen Theunis

10 papers receiving 651 citations

Hit Papers

Mouse model of chromosome mosaicism reveals lineage-speci... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koen Theunis Belgium 7 358 286 167 141 65 10 662
Vincent Gâtinois France 11 269 0.8× 206 0.7× 279 1.7× 51 0.4× 76 1.2× 28 600
Xukun Lu China 16 629 1.8× 123 0.4× 123 0.7× 196 1.4× 93 1.4× 27 771
Manuel Viotti United States 16 720 2.0× 609 2.1× 323 1.9× 358 2.5× 59 0.9× 41 1.3k
Yvonne K. Kwok China 13 216 0.6× 300 1.0× 285 1.7× 36 0.3× 63 1.0× 25 563
Rolf‐Dieter Wegner Germany 16 270 0.8× 227 0.8× 226 1.4× 37 0.3× 85 1.3× 38 626
Yixin Ren China 10 520 1.5× 132 0.5× 98 0.6× 131 0.9× 150 2.3× 15 647
Cheryl DeScipio United States 15 337 0.9× 404 1.4× 334 2.0× 351 2.5× 20 0.3× 18 834
Paolo Guanciali‐Franchi Italy 10 222 0.6× 154 0.5× 144 0.9× 54 0.4× 16 0.2× 24 443
Yifan Gu China 14 283 0.8× 287 1.0× 100 0.6× 365 2.6× 33 0.5× 34 652
Aaron Bogutz Canada 14 566 1.6× 180 0.6× 223 1.3× 51 0.4× 43 0.7× 18 681

Countries citing papers authored by Koen Theunis

Since Specialization
Citations

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

Fields of papers citing papers by Koen Theunis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Koen Theunis. 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 Koen Theunis. The network helps show where Koen Theunis may publish in the future.

Co-authorship network of co-authors of Koen Theunis

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

All Works

10 of 10 papers shown
1.
Theunis, Koen, Sebastiaan Vanuytven, Florian Rambow, et al.. (2025). Single-cell genome and transcriptome sequencing without upfront whole-genome amplification reveals cell state plasticity of melanoma subclones. Nucleic Acids Research. 53(6). 1 indexed citations
2.
Taskiran, Ibrahim Ihsan, Katina I. Spanier, Gert Hulselmans, et al.. (2023). Cell-type-directed design of synthetic enhancers. Nature. 626(7997). 212–220. 69 indexed citations
3.
Ismail, Joy N., Carmen Bravo González‐Blas, Gert Hulselmans, et al.. (2022). Hydrop enables droplet-based single-cell ATAC-seq and single-cell RNA-seq using dissolvable hydrogel beads. eLife. 11. 44 indexed citations
4.
Veys, Koenraad, Katharina Held, Ahmed Reda, et al.. (2022). Urine-Derived Kidney Progenitor Cells in Cystinosis. Cells. 11(7). 1245–1245. 5 indexed citations
5.
Böhm, Anna-Marei, Naomi Dirckx, Robert J. Tower, et al.. (2019). Activation of Skeletal Stem and Progenitor Cells for Bone Regeneration Is Driven by PDGFRβ Signaling. Developmental Cell. 51(2). 236–254.e12. 78 indexed citations
6.
Werken, Harmen J.G. van de, Josien Haan, Yana Feodorova, et al.. (2017). Small chromosomal regions position themselves autonomously according to their chromatin class. Genome Research. 27(6). 922–933. 27 indexed citations
7.
Bolton, Helen, Sarah J. L. Graham, Niels van der Aa, et al.. (2016). Mouse model of chromosome mosaicism reveals lineage-specific depletion of aneuploid cells and normal developmental potential. Nature Communications. 7(1). 11165–11165. 316 indexed citations breakdown →
8.
Bolton, Helen, Sarah J. L. Graham, Niels van der Aa, et al.. (2016). Mouse Model of Chromosome Mosaicism Reveals Lineage-Specific Depletion of Aneuploid Cells and Normal Developmental Potential. Obstetrical & Gynecological Survey. 71(11). 665–666. 5 indexed citations
9.
Arcolino, Fanny Oliveira, Silvia Zia, Katharina Held, et al.. (2016). Urine of Preterm Neonates as a Novel Source of Kidney Progenitor Cells. Journal of the American Society of Nephrology. 27(9). 2762–2770. 30 indexed citations
10.
Esteki, Masoud Zamani, Eftychia Dimitriadou, Ligia Mateiu, et al.. (2015). Concurrent Whole-Genome Haplotyping and Copy-Number Profiling of Single Cells. The American Journal of Human Genetics. 96(6). 894–912. 87 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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