Wouter Saelens

11.2k citations
21 papers · 4.5k · 6 hit papers · h-index 14

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
    • Gene Regulatory Network Analysis 5
    • Bioinformatics and Genomic Networks 4
    • Genomics and Chromatin Dynamics 4
    • Gene expression and cancer classification 3
    • T-cell and B-cell Immunology 3
    • Immunotherapy and Immune Responses 2

Wouter Saelens

18 papers receiving 4.5k citations

Wouter Saelens's Hit Papers

Live-seq enables temporal transcriptomic recording of single cells 2022 · 163 citations
1630+3+6Years since publication2505007501000

Peers

Wouter Saelens
Comparison fields: 5 of 132
  • Biophysics 390
  • Immunology 1.3k
  • Molecular Biology 2.8k
  • Cancer Research 506
  • Neurology 271
Replace Ilya Korsunsky with:
Ilya Korsunsky United States
Nghia Millard United States
Yuriy Baglaenko United States
Kamil Slowikowski United States
Philipp Angerer Germany
Roser Vento‐Tormo United Kingdom
David Gennert United States
Suoqin Jin China
Aaron T. L. Lun Australia
Wouter Saelens relative to Ilya Korsunsky United States Ilya Korsunsky's profile →
Citations per field
00.5×4.6×
Ilya Korsunsky · 1×
Citations per year

Countries citing papers authored by Wouter Saelens

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Wouter Saelens Line = papers co-authored together Wouter Saelens links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
NicheNet: modeling intercellular communication by linking ligands to target genes
Hit paper breakdown →
20191101
2
A comparison of single-cell trajectory inference methods
Hit paper breakdown →
2019961
3
A scalable SCENIC workflow for single-cell gene regulatory network analysis
Hit paper breakdown →
2020794
4
Yolk Sac Macrophages, Fetal Liver, and Adult Monocytes Can Colonize an Empty Niche and Develop into Functional Tissue-Resident Macrophages
Hit paper breakdown →
2016447
5
Trajectory-based differential expression analysis for single-cell sequencing data
Hit paper breakdown →
2020393
6 2018182
7
Live-seq enables temporal transcriptomic recording of single cells
Hit paper breakdown →
2022163
8 2016127
9 2016111
10 202167
11 202243
12 202131
13 201817
14 202016
15 20249
16 20252
17 20242
18 20222
19
Dimensionality Reduction Methods in a Common Format [R package dyndimred version 1.0.3]
20201
20 20250

About Wouter Saelens

Wouter Saelens is a scholar working on Molecular Biology, Immunology, Cancer Research, Surgery and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 4.5k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (14 papers), Gene Regulatory Network Analysis (5 papers), Bioinformatics and Genomic Networks (4 papers), Genomics and Chromatin Dynamics (4 papers), Gene expression and cancer classification (3 papers), T-cell and B-cell Immunology (3 papers), Cancer Genomics and Diagnostics (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Biophysics (390 citations), Immunology (1.3k citations), Molecular Biology (2.8k citations), Cancer Research (506 citations) and Neurology (271 citations). Wouter Saelens has collaborated with scholars based in Belgium, Switzerland and United States. Frequent co-authors include Yvan Saeys, Robrecht Cannoodt, Robin Browaeys, Helena Todorov, Stein Aerts, Kristofer Davie, Sara Aibar, Bram Van de Sande, Joke Reumers and Gert Hulselmans. Their work appears in journals such as Nature Communications, Nature Methods, iScience, Genome biology and Nature Biotechnology.

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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