Wigard P. Kloosterman

15.6k total citations · 3 hit papers
67 papers, 8.9k citations indexed

About

Wigard P. Kloosterman is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Wigard P. Kloosterman has authored 67 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 33 papers in Cancer Research and 24 papers in Genetics. Recurrent topics in Wigard P. Kloosterman's work include Cancer Genomics and Diagnostics (19 papers), Genomic variations and chromosomal abnormalities (16 papers) and MicroRNA in disease regulation (13 papers). Wigard P. Kloosterman is often cited by papers focused on Cancer Genomics and Diagnostics (19 papers), Genomic variations and chromosomal abnormalities (16 papers) and MicroRNA in disease regulation (13 papers). Wigard P. Kloosterman collaborates with scholars based in Netherlands, United States and Germany. Wigard P. Kloosterman's co-authors include Ronald H.A. Plasterk, Ewart de Bruijn, Sakari Kauppinen, Erno Wienholds, Eugène Berezikov, Jeroen de Ridder, Edwin Cuppen, Eric A. Miska, H. Robert Horvitz and Ezequiel Alvarez-Saavedra and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Wigard P. Kloosterman

67 papers receiving 8.8k 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.

The Diverse Functions of MicroRNAs in Animal Development and Disease

2006 1.7k citations Wigard P. Kloosterman, Ronald H.A. Plasterk Developmental Cell profile →
MicroRNA Expression in Zebrafish Embryonic Development

2005 1.3k citations Erno Wienholds, Wigard P. Kloosterman et al. Science profile →
From squiggle to basepair: computational approaches for improving nanopore sequencing read accuracy

2018 406 citations Franka J. Rang, Wigard P. Kloosterman et al. Genome biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wigard P. Kloosterman Netherlands	37	6.6k	4.9k	1.4k	752	540	67	8.9k
Bryce W. Carey United States	20	10.0k 1.5×	4.6k 0.9×	1.1k 0.8×	423 0.6×	415 0.8×	25	11.5k
Sean M. Grimmond Australia	58	8.1k 1.2×	3.0k 0.6×	1.3k 0.9×	453 0.6×	1.3k 2.4×	178	11.0k
Deyou Zheng United States	54	7.5k 1.2×	1.8k 0.4×	1.5k 1.1×	531 0.7×	1.0k 1.9×	199	10.5k
Laurie A. Boyer United States	32	12.6k 1.9×	2.2k 0.4×	1.6k 1.1×	831 1.1×	812 1.5×	48	14.1k
Richard I. Gregory United States	46	14.2k 2.2×	9.4k 1.9×	839 0.6×	613 0.8×	631 1.2×	80	16.2k
Robert Blelloch United States	48	9.4k 1.4×	5.7k 1.2×	881 0.6×	378 0.5×	943 1.7×	99	11.7k
Alistair R. R. Forrest Australia	45	6.0k 0.9×	2.3k 0.5×	698 0.5×	416 0.6×	620 1.1×	125	7.8k
Shujun Luo United States	37	10.4k 1.6×	3.1k 0.6×	1.3k 0.9×	2.1k 2.8×	642 1.2×	58	13.0k
Jean‐Paul Concordet France	41	8.4k 1.3×	1.5k 0.3×	2.1k 1.5×	633 0.8×	781 1.4×	102	10.8k
Yunshun Chen Australia	20	5.7k 0.9×	1.8k 0.4×	1.0k 0.7×	851 1.1×	1.2k 2.2×	35	9.3k

Countries citing papers authored by Wigard P. Kloosterman

Since Specialization

Citations

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

Fields of papers citing papers by Wigard P. Kloosterman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wigard P. Kloosterman. 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 Wigard P. Kloosterman. The network helps show where Wigard P. Kloosterman may publish in the future.

Co-authorship network of co-authors of Wigard P. Kloosterman

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

All Works

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20 of 20 papers shown

Chen, Li‐Ting, Myrthe Jager, Tom van den Ende, et al.. (2025). Nanopore-based consensus sequencing enables accurate multimodal tumor cell-free DNA profiling. Genome Research. 35(4). 886–899. 3 indexed citations

Roosmalen, Markus J. van, Nizar Hami, Ingrid Verlaan-Klink, et al.. (2020). Diverse BRAF Gene Fusions Confer Resistance to EGFR-Targeted Therapy via Differential Modulation of BRAF Activity. Molecular Cancer Research. 18(4). 537–548. 11 indexed citations

Blank, Sam de, Ivo Renkens, Liset Westera, et al.. (2020). Partner independent fusion gene detection by multiplexed CRISPR-Cas9 enrichment and long read nanopore sequencing. Nature Communications. 11(1). 2861–2861. 47 indexed citations

Vermeulen, Carlo, Amin Allahyar, Britta A. M. Bouwman, et al.. (2020). Multi-contact 4C: long-molecule sequencing of complex proximity ligation products to uncover local cooperative and competitive chromatin topologies. Nature Protocols. 15(2). 364–397. 30 indexed citations

Ameur, Adam, Wigard P. Kloosterman, & Matthew S. Hestand. (2018). Single-Molecule Sequencing: Towards Clinical Applications. Trends in biotechnology. 37(1). 72–85. 123 indexed citations

Rang, Franka J., Wigard P. Kloosterman, & Jeroen de Ridder. (2018). From squiggle to basepair: computational approaches for improving nanopore sequencing read accuracy. Genome biology. 19(1). 90–90. 406 indexed citations breakdown →

Kloosterman, Wigard P., Robert R.J. Coebergh van den Braak, Mark Pieterse, et al.. (2017). A Systematic Analysis of Oncogenic Gene Fusions in Primary Colon Cancer. Cancer Research. 77(14). 3814–3822. 67 indexed citations

Roosmalen, Markus J. van, Ivo Renkens, Marleen M. Nieboer, et al.. (2017). Mapping and phasing of structural variation in patient genomes using nanopore sequencing. Nature Communications. 8(1). 1326–1326. 249 indexed citations

Euskirchen, Philipp, Franck Bielle, Karim Labrèche, et al.. (2017). Same-day genomic and epigenomic diagnosis of brain tumors using real-time nanopore sequencing. Acta Neuropathologica. 134(5). 691–703. 130 indexed citations

10.

Harakaľová, Magdaléna, Enric Mocholí, Joris M. van Montfrans, et al.. (2017). Ankyrin repeat and zinc-finger domain-containing 1 mutations are associated with infantile-onset inflammatory bowel disease. Journal of Biological Chemistry. 292(19). 7904–7920. 26 indexed citations

11.

Kloosterman, Wigard P., Erno Wienholds, René F. Ketting, & Ronald H.A. Plasterk. (2016). Substrate requirements for let-7 function in the developing zebrafish embryo. Nucleic Acids Research. 44(12). 5993–5993. 34 indexed citations

12.

Passerini, Verena, E. Ozeri-Galai, Mirjam S. de Pagter, et al.. (2016). The presence of extra chromosomes leads to genomic instability. Nature Communications. 7(1). 10754–10754. 205 indexed citations

13.

Kuznetsova, Anastasia Y, Mirjam S. de Pagter, Jeroen A.D.M. de Roos, et al.. (2015). Chromosomal instability, tolerance of mitotic errors and multidrug resistance are promoted by tetraploidization in human cells. Cell Cycle. 14(17). 2810–2820. 121 indexed citations

14.

Francioli, Laurent C., Paz Polak, Amnon Koren, et al.. (2015). Genome-wide patterns and properties of de novo mutations in humans. Nature Genetics. 47(7). 822–826. 238 indexed citations

15.

Pagter, Mirjam S. de, Markus J. van Roosmalen, Annette F. Baas, et al.. (2015). Chromothripsis in Healthy Individuals Affects Multiple Protein-Coding Genes and Can Result in Severe Congenital Abnormalities in Offspring. The American Journal of Human Genetics. 96(4). 651–656. 80 indexed citations

16.

Hoogstraat, Marlous, Mirjam S. de Pagter, Geert A. Cirkel, et al.. (2013). Genomic and transcriptomic plasticity in treatment-naïve ovarian cancer. Genome Research. 24(2). 200–211. 63 indexed citations

17.

Kapsimali, Marika, Wigard P. Kloosterman, Ewart de Bruijn, et al.. (2007). MicroRNAs show a wide diversity of expression profiles in the developing and mature central nervous system. Genome biology. 8(8). R173–R173. 326 indexed citations

18.

Kloosterman, Wigard P. & Ronald H.A. Plasterk. (2006). The Diverse Functions of MicroRNAs in Animal Development and Disease. Developmental Cell. 11(4). 441–450. 1745 indexed citations breakdown →

19.

Wienholds, Erno, Wigard P. Kloosterman, Eric A. Miska, et al.. (2005). MicroRNA Expression in Zebrafish Embryonic Development. Science. 309(5732). 310–311. 1284 indexed citations breakdown →

20.

Nelson, Peter T., Don A. Baldwin, Wigard P. Kloosterman, et al.. (2005). RAKE and LNA-ISH reveal microRNA expression and localization in archival human brain. RNA. 12(2). 187–191. 237 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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