Mark Verheul

2.4k total citations
29 papers, 1.6k citations indexed

About

Mark Verheul is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Mark Verheul has authored 29 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Cancer Research and 7 papers in Genetics. Recurrent topics in Mark Verheul's work include Cancer Genomics and Diagnostics (10 papers), Acute Myeloid Leukemia Research (5 papers) and CRISPR and Genetic Engineering (4 papers). Mark Verheul is often cited by papers focused on Cancer Genomics and Diagnostics (10 papers), Acute Myeloid Leukemia Research (5 papers) and CRISPR and Genetic Engineering (4 papers). Mark Verheul collaborates with scholars based in Netherlands, Germany and United States. Mark Verheul's co-authors include Edwin Cuppen, Victor Guryev, José van de Belt, Ronald H.A. Plasterk, Ruben van Boxtel, Bart M. G. Smits, Eugène Berezikov, Bart Ellenbroek, Berend Olivier and Judith R. Homberg and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.

In The Last Decade

Mark Verheul

27 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Verheul Netherlands 18 928 556 303 260 147 29 1.6k
Jae W. Lee United States 25 1.9k 2.0× 562 1.0× 367 1.2× 225 0.9× 46 0.3× 44 2.4k
Xianjin Zhou United States 20 979 1.1× 340 0.6× 347 1.1× 397 1.5× 25 0.2× 43 1.9k
Jinong Feng United States 27 1.3k 1.4× 428 0.8× 725 2.4× 201 0.8× 53 0.4× 44 2.1k
Florencia Pauli United States 14 1.8k 1.9× 269 0.5× 589 1.9× 71 0.3× 158 1.1× 14 2.3k
Ileana Zucchi Italy 25 982 1.1× 311 0.6× 345 1.1× 253 1.0× 68 0.5× 67 1.7k
Jesús Lascorz Germany 19 447 0.5× 102 0.2× 273 0.9× 280 1.1× 77 0.5× 25 1.7k
Chay T. Kuo United States 23 1.5k 1.6× 279 0.5× 298 1.0× 731 2.8× 65 0.4× 32 2.7k
Jordane Malaterre Australia 24 835 0.9× 184 0.3× 242 0.8× 318 1.2× 49 0.3× 41 1.5k
Marcel W. Coolen Netherlands 18 1.2k 1.3× 236 0.4× 272 0.9× 128 0.5× 39 0.3× 23 1.6k
James M. Stafford United States 16 868 0.9× 74 0.1× 188 0.6× 154 0.6× 53 0.4× 20 1.4k

Countries citing papers authored by Mark Verheul

Since Specialization
Citations

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

Fields of papers citing papers by Mark Verheul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Verheul

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Verheul. A scholar is included among the top collaborators of Mark Verheul 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 Verheul. Mark Verheul 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.
Kanter, Jurrian K. de, Mark Verheul, Markus J. van Roosmalen, et al.. (2024). Selective pressures of platinum compounds shape the evolution of therapy-related myeloid neoplasms. Nature Communications. 15(1). 6025–6025. 8 indexed citations
2.
Huber, Axel Rosendahl, Cayetano Pleguezuelos‐Manzano, Jens Puschhof, et al.. (2024). Improved detection of colibactin-induced mutations by genotoxic E. coli in organoids and colorectal cancer. Cancer Cell. 42(3). 487–496.e6. 39 indexed citations
3.
Manders, Freek, Arianne M. Brandsma, Jurrian K. de Kanter, et al.. (2022). MutationalPatterns: the one stop shop for the analysis of mutational processes. BMC Genomics. 23(1). 134–134. 88 indexed citations
4.
Huber, Axel Rosendahl, Jurrian K. de Kanter, Arianne M. Brandsma, et al.. (2022). Elevated Mutational Age in Blood of Children Treated for Cancer Contributes to Therapy-Related Myeloid Neoplasms. Cancer Discovery. 12(8). OF1–OF14. 16 indexed citations
5.
Manders, Freek, Mark Verheul, Markus J. van Roosmalen, et al.. (2022). Human induced pluripotent stem cells display a similar mutation burden as embryonic pluripotent cells in vivo. iScience. 25(2). 103736–103736. 7 indexed citations
6.
Brandsma, Arianne M., Markus J. van Roosmalen, Rurika Oka, et al.. (2021). Mutation Signatures of Pediatric Acute Myeloid Leukemia and Normal Blood Progenitors Associated with Differential Patient Outcomes. Blood Cancer Discovery. 2(5). 484–499. 18 indexed citations
7.
Verheul, Mark, et al.. (2021). An Experts' Guide to International Protocol. Amsterdam University Press eBooks.
8.
Kanter, Jurrian K. de, Axel Rosendahl Huber, Markus J. van Roosmalen, et al.. (2021). Antiviral treatment causes a unique mutational signature in cancers of transplantation recipients. Cell stem cell. 28(10). 1726–1739.e6. 23 indexed citations
9.
Manders, Freek, Marie‐Louise van der Hoorn, Mark Verheul, et al.. (2020). Mutation accumulation and developmental lineages in normal and Down syndrome human fetal haematopoiesis. Scientific Reports. 10(1). 12991–12991. 22 indexed citations
10.
Osorio, Fernando G., Axel Rosendahl Huber, Rurika Oka, et al.. (2018). Somatic Mutations Reveal Lineage Relationships and Age-Related Mutagenesis in Human Hematopoiesis. Cell Reports. 25(9). 2308–2316.e4. 151 indexed citations
11.
Verheul, Mark, et al.. (2016). An Experts' Guide to International Protocol. Amsterdam University Press eBooks. 1 indexed citations
12.
Verheul, Mark, et al.. (2016). An Experts' Guide to International Protocol. Amsterdam University Press eBooks. 1 indexed citations
13.
Boxtel, Ruben van, Bas Vroling, Pim W. Toonen, et al.. (2010). Systematic generation of in vivo G protein-coupled receptor mutants in the rat. The Pharmacogenomics Journal. 11(5). 326–336. 17 indexed citations
14.
Nijman, Isaäc J., et al.. (2008). A genome-wide SNP panel for mapping and association studies in the rat. BMC Genomics. 9(1). 95–95. 42 indexed citations
15.
Boxtel, Ruben van, Pim W. Toonen, Mark Verheul, et al.. (2008). Improved generation of rat gene knockouts by target-selected mutagenesis in mismatch repair-deficient animals. BMC Genomics. 9(1). 460–460. 25 indexed citations
16.
Homberg, Judith R., Sietse F. de Boer, Berend Olivier, et al.. (2008). Adaptations in pre- and postsynaptic 5-HT1A receptor function and cocaine supersensitivity in serotonin transporter knockout rats. Psychopharmacology. 200(3). 367–380. 81 indexed citations
17.
Homberg, Judith R., Berend Olivier, Bart M. G. Smits, et al.. (2007). Characterization of the serotonin transporter knockout rat: A selective change in the functioning of the serotonergic system. Neuroscience. 146(4). 1662–1676. 186 indexed citations
18.
Berezikov, Eugène, Geert van Tetering, Mark Verheul, et al.. (2006). Many novel mammalian microRNA candidates identified by extensive cloning and RAKE analysis. Genome Research. 16(10). 1289–1298. 228 indexed citations
19.
Kloosterman, Wigard P., Florian Steiner, Eugène Berezikov, et al.. (2006). Cloning and expression of new microRNAs from zebrafish. Nucleic Acids Research. 34(9). 2558–2569. 146 indexed citations
20.
Smits, Bart M. G., José van de Belt, Mark Verheul, et al.. (2006). Generation of gene knockouts and mutant models in the laboratory rat by ENU-driven target-selected mutagenesis. Pharmacogenetics and Genomics. 16(3). 159–169. 140 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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