Sander Boymans

3.7k total citations · 1 hit paper
15 papers, 1.9k citations indexed

About

Sander Boymans is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Sander Boymans has authored 15 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Cancer Research and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Sander Boymans's work include Cancer Genomics and Diagnostics (7 papers), RNA modifications and cancer (3 papers) and Epigenetics and DNA Methylation (3 papers). Sander Boymans is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), RNA modifications and cancer (3 papers) and Epigenetics and DNA Methylation (3 papers). Sander Boymans collaborates with scholars based in Netherlands, Germany and United States. Sander Boymans's co-authors include Edwin Cuppen, Hans Clevers, Valentina Sasselli, Turan Demircan, Gerald Schwank, Johanna F. Dekkers, Cornelis K. van der Ent, Bon‐Kyoung Koo, Inha Heo and Jeffrey M. Beekman and has published in prestigious journals such as Nature Communications, Scientific Reports and Nature Protocols.

In The Last Decade

Sander Boymans

15 papers receiving 1.8k 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.

Functional Repair of CFTR by CRISPR/Cas9 in Intestinal Stem Cell Organoids of Cystic Fibrosis Patients

2013 1.0k citations Gerald Schwank, Bon‐Kyoung Koo et al. Cell stem cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sander Boymans Netherlands	11	1.3k	472	361	328	213	15	1.9k
Valentina Sasselli Netherlands	8	1.1k 0.9×	239 0.5×	531 1.5×	374 1.1×	286 1.3×	8	1.9k
Raúl Torres Spain	25	1.3k 1.0×	223 0.5×	548 1.5×	432 1.3×	81 0.4×	65	2.0k
Zachary Steinhart Canada	14	2.2k 1.7×	337 0.7×	498 1.4×	305 0.9×	68 0.3×	17	2.7k
Kyung‐Soon Park South Korea	27	1.2k 1.0×	264 0.6×	402 1.1×	135 0.4×	179 0.8×	78	1.9k
Yingmiao Liu United States	24	1.4k 1.1×	192 0.4×	440 1.2×	212 0.6×	218 1.0×	62	2.2k
Bian Hu China	17	1.1k 0.9×	316 0.7×	389 1.1×	360 1.1×	81 0.4×	30	1.5k
Yongyan Wu China	28	1.5k 1.1×	729 1.5×	229 0.6×	175 0.5×	59 0.3×	78	2.0k
Xuhua Zhang China	20	713 0.5×	200 0.4×	468 1.3×	149 0.5×	112 0.5×	47	1.4k
René Overmeer Netherlands	16	1.5k 1.1×	531 1.1×	925 2.6×	237 0.7×	335 1.6×	23	2.2k
Weiren Huang China	26	1.6k 1.3×	1.0k 2.2×	135 0.4×	160 0.5×	109 0.5×	63	2.0k

Countries citing papers authored by Sander Boymans

Since Specialization

Citations

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

Fields of papers citing papers by Sander Boymans

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sander Boymans

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

All Works

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15 of 15 papers shown

Besselink, Nicolle, Carlo Vermeulen, Sander Boymans, et al.. (2023). The genome-wide mutational consequences of DNA hypomethylation. Scientific Reports. 13(1). 6874–6874. 44 indexed citations

Nguyen, Luan, Myrthe Jager, Ruby Lieshout, et al.. (2021). Precancerous liver diseases do not cause increased mutagenesis in liver stem cells. Communications Biology. 4(1). 1301–1301. 9 indexed citations

Middelkamp, Sjors, Helena T. A. van Tol, Diana C.J. Spierings, et al.. (2020). Sperm DNA damage causes genomic instability in early embryonic development. Science Advances. 6(16). eaaz7602–eaaz7602. 54 indexed citations

Kuijk, Ewart, Myrthe Jager, Bastiaan van der Roest, et al.. (2020). The mutational impact of culturing human pluripotent and adult stem cells. Nature Communications. 11(1). 2493–2493. 86 indexed citations

Ernst, Robert F., Sander Boymans, Joep de Ligt, et al.. (2020). UMCUGenetics/IAP: v2.8.0. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Roest, Bastiaan van der, Nicolle Besselink, Roel Janssen, et al.. (2019). 5-Fluorouracil treatment induces characteristic T>G mutations in human cancer. Nature Communications. 10(1). 4571–4571. 138 indexed citations

Middelkamp, Sjors, Jacques C. Giltay, Jerome Korzelius, et al.. (2019). Prioritization of genes driving congenital phenotypes of patients with de novo genomic structural variants. Genome Medicine. 11(1). 79–79. 17 indexed citations

Jager, Myrthe, Francis Blokzijl, Ewart Kuijk, et al.. (2019). Deficiency of nucleotide excision repair is associated with mutational signature observed in cancer. Genome Research. 29(7). 1067–1077. 57 indexed citations

Kuijk, Ewart, Francis Blokzijl, Myrthe Jager, et al.. (2019). Early divergence of mutational processes in human fetal tissues. Science Advances. 5(5). eaaw1271–eaaw1271. 21 indexed citations

10.

Hemerich, Daiane, Jiayi Pei, Magdaléna Harakaľová, et al.. (2019). Integrative Functional Annotation of 52 Genetic Loci Influencing Myocardial Mass Identifies Candidate Regulatory Variants and Target Genes. Circulation Genomic and Precision Medicine. 12(2). e002328–e002328. 6 indexed citations

11.

Jager, Myrthe, Francis Blokzijl, Valentina Sasselli, et al.. (2017). Measuring mutation accumulation in single human adult stem cells by whole-genome sequencing of organoid cultures. Nature Protocols. 13(1). 59–78. 46 indexed citations

12.

Hermsen, Roel, Joep de Ligt, Francis Blokzijl, et al.. (2015). Genomic landscape of rat strain and substrain variation. BMC Genomics. 16(1). 357–357. 66 indexed citations

13.

Warris, Sven, et al.. (2014). Fast selection of miRNA candidates based on large-scale pre-computed MFE sets of randomized sequences. BMC Research Notes. 7(1). 34–34. 7 indexed citations

14.

Heesch, Sebastiaan van, Maarten van Iterson, Sander Boymans, et al.. (2014). Extensive localization of long noncoding RNAs to the cytosol and mono- and polyribosomal complexes. Genome biology. 15(1). R6–R6. 287 indexed citations

15.

Schwank, Gerald, Bon‐Kyoung Koo, Valentina Sasselli, et al.. (2013). Functional Repair of CFTR by CRISPR/Cas9 in Intestinal Stem Cell Organoids of Cystic Fibrosis Patients. Cell stem cell. 13(6). 653–658. 1034 indexed citations breakdown →

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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