Wouter Saelens
Impact in
- Biophysics top 0.5%
- Cell Image Analysis Techniques
- Immunology top 2%
- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
-
- Single-cell and spatial transcriptomics 14
- Genomics and Chromatin Dynamics 5
- Gene Regulatory Network Analysis 5
- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 3
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- T-cell and B-cell Immunology 3
- Co-authors
- Yvan Saeys (14 shared papers)Robrecht Cannoodt (11 shared papers)Robin Browaeys (1 shared paper)Helena Todorov (4 shared papers)Ruth Seurinck (1 shared paper)Maxime De Waegeneer (1 shared paper)Charlotte L. Scott (2 shared papers)Gert Van Isterdael (2 shared papers)
- Journals
- Nature Communications (4 papers)Nature Methods (2 papers)Nature Genetics (1 paper)iScience (1 paper)Cell Metabolism (1 paper)
- Partner nations
- BelgiumSwitzerlandFrance
In The Last Decade
Wouter Saelens
17 papers receiving 4.2k citations
Wouter Saelens's Hit Papers
Peers
Comparison fields: 5 of 132
- Biophysics 423
- Immunology 1.5k
- Molecular Biology 2.8k
- Cancer Research 589
- Neurology 283
Countries citing papers authored by Wouter Saelens
This map shows the geographic impact of Wouter Saelens'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 Saelens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wouter Saelens more than expected).
Fields of papers citing papers by Wouter Saelens
This network shows the impact of papers produced by Wouter Saelens. 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 Saelens. The network helps show where Wouter Saelens may publish in the future.
Co-authors
The 25 scholars most cited alongside Wouter Saelens, 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 | NicheNet: modeling intercellular communication by linking ligands to target genes Hit paper breakdown → | 2019 | 1019 |
| 2 | A comparison of single-cell trajectory inference methods Hit paper breakdown → | 2019 | 922 |
| 3 | A scalable SCENIC workflow for single-cell gene regulatory network analysis Hit paper breakdown → | 2020 | 723 |
| 4 | Yolk Sac Macrophages, Fetal Liver, and Adult Monocytes Can Colonize an Empty Niche and Develop into Functional Tissue-Resident Macrophages Hit paper breakdown → | 2016 | 441 |
| 5 | Trajectory-based differential expression analysis for single-cell sequencing data Hit paper breakdown → | 2020 | 352 |
| 6 | 2018 | 171 | |
| 7 | Live-seq enables temporal transcriptomic recording of single cells Hit paper breakdown → | 2022 | 155 |
| 8 | 2016 | 123 | |
| 9 | 2016 | 108 | |
| 10 | 2021 | 63 | |
| 11 | 2022 | 39 | |
| 12 | 2021 | 28 | |
| 13 | 2018 | 17 | |
| 14 | 2020 | 16 | |
| 15 | 2024 | 9 | |
| 16 | 2024 | 2 | |
| 17 | 2022 | 2 | |
| 18 | Dimensionality Reduction Methods in a Common Format [R package dyndimred version 1.0.3] | 2020 | 1 |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Wouter Saelens
Wouter Saelens is a scholar working on Molecular Biology, Immunology, Biophysics, Cancer Research and Surgery, having authored 20 papers that have together received 4.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (14 papers), Genomics and Chromatin Dynamics (5 papers), Gene Regulatory Network Analysis (5 papers), Bioinformatics and Genomic Networks (4 papers), T-cell and B-cell Immunology (3 papers), Gene expression and cancer classification (3 papers), Cancer Genomics and Diagnostics (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Biophysics (423 citations), Immunology (1.5k citations), Molecular Biology (2.8k citations), Cancer Research (589 citations) and Neurology (283 citations). Wouter Saelens has collaborated with scholars based in Belgium, Switzerland and France. Frequent co-authors include Yvan Saeys, Robrecht Cannoodt, Robin Browaeys, Helena Todorov, Ruth Seurinck, Maxime De Waegeneer, Charlotte L. Scott, Gert Van Isterdael, Martin Guilliams and Bram Van de Sande. Their work appears in journals such as Nature Communications, Nature Methods, Nature Genetics, iScience and Cell Metabolism.
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.