Wouter De Coster
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
Papers in
-
- Genomics and Phylogenetic Studies 7
- RNA and protein synthesis mechanisms 2
- Mitochondrial Function and Pathology 2
- Bacterial biofilms and quorum sensing 2
- Genetics 7
- Genomics and Rare Diseases 5
- Co-authors
- Christine Van Broeckhoven (4 shared papers)Svenn D’Hert (4 shared papers)Marc Cruts (1 shared paper)Darrin T. Schultz (1 shared paper)Rosa Rademakers (4 shared papers)Fritz J. Sedlazeck (2 shared papers)Matthias H. Weissensteiner (1 shared paper)Mojca Stražišar (8 shared papers)
- Journals
- Bioinformatics (4 papers)Genome Research (2 papers)Molecular Neurodegeneration (1 paper)Microbiology Spectrum (1 paper)Genome biology (1 paper)
- Partner nations
- BelgiumUnited StatesIndia
In The Last Decade
Wouter De Coster
17 papers receiving 2.6k citations
Wouter De Coster's Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Medicine 217
- Endocrinology 191
- Molecular Biology 1.4k
- Ecology 532
- Microbiology 83
Countries citing papers authored by Wouter De Coster
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
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-authors
The 25 scholars most cited alongside Wouter De Coster, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | NanoPack: visualizing and processing long-read sequencing data Hit paper breakdown → | 2018 | 1841 |
| 2 | NanoPack2: population-scale evaluation of long-read sequencing data Hit paper breakdown → | 2023 | 305 |
| 3 | 2021 | 173 | |
| 4 | 2019 | 104 | |
| 5 | 2019 | 69 | |
| 6 | 2019 | 57 | |
| 7 | 2022 | 27 | |
| 8 | 2024 | 27 | |
| 9 | 2022 | 20 | |
| 10 | 2020 | 19 | |
| 11 | The Calopteryx-splendens-cline in Southwestern France, analysed by quantitative wingspot analysis (Zygoptera: Calopterygidae) | 1993 | 13 |
| 12 | 2024 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2020 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2025 | 0 |
About Wouter De Coster
Wouter De Coster is a scholar working on Molecular Biology, Genetics, Molecular Medicine, Endocrinology and Plant Science, having authored 18 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Genomics and Rare Diseases (5 papers), RNA and protein synthesis mechanisms (2 papers), Cancer Genomics and Diagnostics (2 papers), Mitochondrial Function and Pathology (2 papers), Chromosomal and Genetic Variations (2 papers), Bacterial biofilms and quorum sensing (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Molecular Medicine (217 citations), Endocrinology (191 citations), Molecular Biology (1.4k citations), Ecology (532 citations) and Microbiology (83 citations). Wouter De Coster has collaborated with scholars based in Belgium, United States and India. Frequent 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 Peter De Rijk. Their work appears in journals such as Bioinformatics, Genome Research, Molecular Neurodegeneration, Microbiology Spectrum and Genome biology.
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.