Wouter De Coster
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in
-
- Amyotrophic Lateral Sclerosis Research 4
-
- Antibiotic Resistance in Bacteria 2
- Co-authors
- Christine Van Broeckhoven (3 shared papers)Svenn D’Hert (2 shared papers)Darrin T. Schultz (1 shared paper)Marc Cruts (1 shared paper)Rosa Rademakers (4 shared papers)Fritz Joachim Sedlazeck (2 shared papers)Matthias H. Weissensteiner (1 shared paper)Mojca Stražišar (7 shared papers)
- Journals
- Acta Neuropathologica (4 papers)Bioinformatics (4 papers)F1000Research (2 papers)Molecular Neurodegeneration (2 papers)Microbiology Spectrum (1 paper)
- Partner nations
- BelgiumUnited StatesNetherlands
In The Last Decade
Wouter De Coster
22 papers receiving 3.0k citations
Wouter De Coster's Hit Papers
Peers
Comparison fields: 5 of 78
- Molecular Medicine 175
- Endocrinology 59
- Molecular Biology 721
- Genetics 216
- Microbiology 37
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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | NanoPack: visualizing and processing long-read sequencing data Hit paper breakdown → | 2018 | 2037 |
| 2 | NanoPack2: population-scale evaluation of long-read sequencing data Hit paper breakdown → | 2023 | 396 |
| 3 | 2021 | 195 | |
| 4 | 2019 | 68 | |
| 5 | 2019 | 67 | |
| 6 | 2017 | 63 | |
| 7 | 2019 | 39 | |
| 8 | 2022 | 33 | |
| 9 | 2024 | 32 | |
| 10 | 2020 | 21 | |
| 11 | 2022 | 21 | |
| 12 | 2018 | 19 | |
| 13 | 2021 | 19 | |
| 14 | 2025 | 10 | |
| 15 | 2024 | 9 | |
| 16 | 2020 | 6 | |
| 17 | 2021 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2025 | 1 |
About Wouter De Coster
Wouter De Coster is a scholar working on Neurology, Molecular Medicine, Genetics, Molecular Biology and Physiology, having authored 24 papers that have together received 3.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Antibiotic Resistance in Bacteria (2 papers), Alzheimer's disease research and treatments (2 papers), Single-cell and spatial transcriptomics (1 paper) and Retinal Development and Disorders (1 paper). The work is most often cited by research in Molecular Medicine (175 citations), Endocrinology (59 citations), Molecular Biology (721 citations), Genetics (216 citations) and Microbiology (37 citations). Wouter De Coster has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Christine Van Broeckhoven, Svenn D’Hert, Darrin T. Schultz, Marc Cruts, Rosa Rademakers, Fritz Joachim Sedlazeck, Matthias H. Weissensteiner, Mojca Stražišar, Tim De Pooter and Peter De Rijk. Their work appears in journals such as Acta Neuropathologica, Bioinformatics, F1000Research, Molecular Neurodegeneration and Microbiology Spectrum.
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.