Wouter De Coster

5.3k total citations · 2 hit papers
18 papers, 2.5k citations indexed

About

Wouter De Coster is a scholar working on Molecular Biology, Genetics and Molecular Medicine. According to data from OpenAlex, Wouter De Coster has authored 18 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Genetics and 2 papers in Molecular Medicine. Recurrent topics in Wouter De Coster's work include Genomics and Phylogenetic Studies (9 papers), Genomics and Rare Diseases (5 papers) and RNA and protein synthesis mechanisms (3 papers). Wouter De Coster is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Genomics and Rare Diseases (5 papers) and RNA and protein synthesis mechanisms (3 papers). Wouter De Coster collaborates with scholars based in Belgium, United States and Norway. Wouter De Coster's co-authors include Christine Van Broeckhoven, Svenn D’Hert, Marc Cruts, Darrin T. Schultz, Rosa Rademakers, Fritz J. Sedlazeck, Matthias H. Weissensteiner, Mojca Stražišar, Tim De Pooter and Kristel Sleegers and has published in prestigious journals such as Nature Biotechnology, Bioinformatics and Nature Reviews Genetics.

In The Last Decade

Wouter De Coster

17 papers receiving 2.4k citations

Hit Papers

NanoPack: visualizing and processing long-read sequencing... 2018 2026 2020 2023 2018 2023 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wouter De Coster Belgium 11 1.5k 549 525 390 218 18 2.5k
Darrin T. Schultz United States 11 1.3k 0.9× 560 1.0× 442 0.8× 233 0.6× 164 0.8× 21 2.2k
Svenn D’Hert Belgium 4 1.2k 0.8× 460 0.8× 407 0.8× 236 0.6× 165 0.8× 4 1.9k
Claire Toffano‐Nioche France 16 1.9k 1.2× 585 1.1× 624 1.2× 267 0.7× 121 0.6× 26 2.4k
Yong Liang China 21 1.6k 1.1× 651 1.2× 662 1.3× 413 1.1× 227 1.0× 48 3.1k
Marten Boetzer Netherlands 8 1.8k 1.2× 731 1.3× 930 1.8× 434 1.1× 136 0.6× 8 3.0k
Shuai Le China 22 1.8k 1.2× 1.4k 2.6× 601 1.1× 436 1.1× 257 1.2× 42 3.1k
Carole Dossat France 23 1.3k 0.9× 571 1.0× 749 1.4× 441 1.1× 253 1.2× 31 2.6k
Omri Wurtzel Israel 19 2.3k 1.5× 695 1.3× 354 0.7× 616 1.6× 100 0.5× 26 2.7k
Walter Pirovano Netherlands 17 2.2k 1.5× 813 1.5× 1.1k 2.0× 495 1.3× 182 0.8× 40 3.7k
Brian Tjaden United States 21 2.2k 1.5× 713 1.3× 285 0.5× 1.1k 2.8× 151 0.7× 37 3.0k

Countries citing papers authored by Wouter De Coster

Since Specialization
Citations

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

Fields of papers citing papers by Wouter De Coster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wouter De Coster. 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 Wouter De Coster. The network helps show where Wouter De Coster may publish in the future.

Co-authorship network of co-authors of Wouter De Coster

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

All Works

18 of 18 papers shown
1.
Crook, Richard, Peizhou Jiang, Shanu F. Roemer, et al.. (2025). Expanding the spectrum of annexin A11 proteinopathy in frontotemporal lobar degeneration and motor neuron disease. Acta Neuropathologica. 150(1). 52–52.
2.
Perneel, Jolien, Nemo Peeters, Riet De Rycke, et al.. (2025). Increased TMEM106B levels lead to lysosomal dysfunction which affects synaptic signaling and neuronal health. Molecular Neurodegeneration. 20(1). 45–45. 1 indexed citations
3.
English, Adam C., Egor Dolzhenko, Sean K. McKenzie, et al.. (2024). Analysis and benchmarking of small and large genomic variants across tandem repeats. Nature Biotechnology. 43(3). 431–442. 24 indexed citations
4.
Coster, Wouter De, Ida Höijer, Inge Bruggeman, et al.. (2024). Visualization and analysis of medically relevant tandem repeats in nanopore sequencing of control cohorts with pathSTR. Genome Research. 34(11). 2074–2080. 5 indexed citations
5.
Dewaele, Barbara, Bert Callewaert, Olivier Vanakker, et al.. (2024). Full characterization of unresolved structural variation through long-read sequencing and optical genome mapping. Scientific Reports. 14(1). 29142–29142. 5 indexed citations
6.
Rijk, Peter De, Fahri Küçükali, Jasper Van Dongen, et al.. (2024). Scywalker: scalable end-to-end data analysis workflow for long-read single-cell transcriptome sequencing. Bioinformatics. 40(9). 1 indexed citations
7.
Coster, Wouter De & Rosa Rademakers. (2023). NanoPack2: population-scale evaluation of long-read sequencing data. Bioinformatics. 39(5). 238 indexed citations breakdown →
8.
Valček, Adam, et al.. (2022). Genomic Analysis of a Strain Collection Containing Multidrug-, Extensively Drug-, Pandrug-, and Carbapenem-Resistant Modern Clinical Isolates of Acinetobacter baumannii. Antimicrobial Agents and Chemotherapy. 66(9). e0089222–e0089222. 18 indexed citations
9.
Valček, Adam, Tom Coenye, Tim De Pooter, et al.. (2022). Phenotypic Characterization and Heterogeneity among Modern Clinical Isolates of Acinetobacter baumannii. Microbiology Spectrum. 11(1). e0306122–e0306122. 25 indexed citations
10.
Coster, Wouter De, Matthias H. Weissensteiner, & Fritz J. Sedlazeck. (2021). Towards population-scale long-read sequencing. Nature Reviews Genetics. 22(9). 572–587. 163 indexed citations
11.
Coster, Wouter De, Endre Bakken Stovner, & Mojca Stražišar. (2020). Methplotlib: analysis of modified nucleotides from nanopore sequencing. Bioinformatics. 36(10). 3236–3238. 18 indexed citations
12.
Coster, Wouter De, Mojca Stražišar, & Peter De Rijk. (2020). Critical length in long-read resequencing. NAR Genomics and Bioinformatics. 2(1). lqz027–lqz027. 2 indexed citations
13.
Roeck, Arne De, Wouter De Coster, Rita Cacace, et al.. (2019). NanoSatellite: accurate characterization of expanded tandem repeat length and sequence through whole genome long-read sequencing on PromethION. Genome biology. 20(1). 239–239. 68 indexed citations
14.
Coster, Wouter De & Christine Van Broeckhoven. (2019). Newest Methods for Detecting Structural Variations. Trends in biotechnology. 37(9). 973–982. 56 indexed citations
15.
Alonge, Michael, et al.. (2019). malonge/RaGOO: Zenodo integration. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
16.
Coster, Wouter De, Peter De Rijk, Arne De Roeck, et al.. (2019). Structural variants identified by Oxford Nanopore PromethION sequencing of the human genome. Genome Research. 29(7). 1178–1187. 100 indexed citations
17.
Coster, Wouter De, Svenn D’Hert, Darrin T. Schultz, Marc Cruts, & Christine Van Broeckhoven. (2018). NanoPack: visualizing and processing long-read sequencing data. Bioinformatics. 34(15). 2666–2669. 1729 indexed citations breakdown →
18.
Dumont, Henri J., Jan Mertens, & Wouter De Coster. (1993). The Calopteryx-splendens-cline in Southwestern France, analysed by quantitative wingspot analysis (Zygoptera: Calopterygidae). Ghent University Academic Bibliography (Ghent University). 13 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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