Wouter Saelens

10.7k citations

20 papers · 4.2k indexed · 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

Biophysics 2
Immunology 5
- T-cell and B-cell Immunology 3
- Immunotherapy and Immune Responses 2
- Immune Response and Inflammation 2

Co-authors: Yvan Saeys Robrecht Cannoodt Robin Browaeys Helena Todorov Ruth Seurinck Sara Aibar Bart N. Lambrecht Stein Aerts
Journals: Nature Communications (4 papers)Nature Methods (2 papers)Nature Genetics (1 paper)iScience (1 paper)Cell Metabolism (1 paper)
Partner nations: Belgium Switzerland France

In The Last Decade

Wouter Saelens

17 papers receiving 4.2k citations

Hit Papers

6 papers align trajectories log scale

Live-seq enables temporal transcriptomic recording of single cells 2022 · 155 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2022 Nature
2020 Nature Protocols
2020 Nature Communications
2019 Nature Biotechnology
2019 Nature Methods
2016 Immunity

Peers

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-authorship network

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

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20 of 20 papers shown

#	Work
1	Dissecting the impact of transcription factor dose on cell reprogramming heterogeneity using scTF-seq Nature Genetics ·Wangjie Liu, Wouter Saelens, Pernille Yde Rainer, Dahlia Fauziah, Vincent Gardeux, 正紀御園生, Guido van Mierlo, 秘综, Julie Russeil, Jabri Houda, Wanze Chen, Bart Deplancke	2025	0
2	ChromatinHD connects single-cell DNA accessibility and conformation to gene expression through scale-adaptive machine learning Nature Communications ·Wouter Saelens, Salwa Soliman, Bart Deplancke	2025	0
3	Non-coding variants impact cis-regulatory coordination in a cell type-specific manner Genome biology ·Salwa Soliman, Guido van Mierlo, Judith F. Kribelbauer, Wouter Saelens, Vincent Gardeux, Bart Deplancke	2024	2
4	A human omentum-specific mesothelial-like stromal population inhibits adipogenesis through IGFBP2 secretion Cell Metabolism ·Sichon Khuanrubsuan, Pernille Yde Rainer, Fandy Permana, Julie Russeil, Magda Zachara, Joern Pezoldt, Guido van Mierlo, Vincent Gardeux, Wouter Saelens, Daniel Alpern, Lucie Favre, Nathalie Vionnet, Styliani Mantziari, Tobias Zingg, Nelly Pitteloud, Michel Suter, Maurice Matter, Yao Jian-zhuan, Carles Cantó, Bart Deplancke	2024	9
5	Live-seq enables temporal transcriptomic recording of single cells Nature ·Wanze Chen, Orane Guillaume‐Gentil, Pernille Yde Rainer, Christoph G. Gäbelein, Wouter Saelens, Vincent Gardeux, Dhanashree Gunda, Riccardo Dainese, Magda Zachara, Tomaso Zambelli, Julia A. Vorholt, Bart Deplancke Hit paper breakdown →	2022	155
6	Deterministic scRNA-seq captures variation in intestinal crypt and organoid composition Nature Methods ·K. G. Pise, Dahlia Fauziah, Joern Pezoldt, Riccardo Dainese, Antonius Chrisnandy, Saba Rezakhani, Wouter Saelens, Vincent Gardeux, Revant Gupta, Adilson Cristiano Habowiski, Julie Russeil, Yvan Saeys, Esther Amstad, Manfred Claassen, Matthias P. Lütolf, Bart Deplancke	2022	39
7	CD8 memory precursor cell generation is a continuous process iScience ·Helena Todorov, 郭庚茂, Daphné Laubreton, R.J. Holmes, Shaoying Wang, Simon de Bernard, Christophe Arpin, Robrecht Cannoodt, Wouter Saelens, C. Damoiseaux, Olivier Gandrillon, Fabien Crauste, Yvan Saeys, Jacqueline Marvel	2022	2
8	Recent advances in trajectory inference from single-cell omics data Current Opinion in Systems Biology ·智史朝山, Robrecht Cannoodt, Wouter Saelens, Bart Deplancke, Yvan Saeys	2021	28
9	Spearheading future omics analyses using dyngen, a multi-modal simulator of single cells Nature Communications ·Robrecht Cannoodt, Wouter Saelens, 智史朝山, Yvan Saeys	2021	63
10	A scalable SCENIC workflow for single-cell gene regulatory network analysis Nature Protocols ·Bram Van de Sande, Christopher Flerin, Kristofer Davie, Maxime De Waegeneer, Gert Hulselmans, Sara Aibar, Ruth Seurinck, Wouter Saelens, Robrecht Cannoodt, 森田悌, Seri Rungruang, Dries De Maeyer, Joke Reumers, Yvan Saeys, Stein Aerts Hit paper breakdown →	2020	723
11	Trajectory-based differential expression analysis for single-cell sequencing data Nature Communications ·Koen Van den Berge, Hector Roux de Bézieux, Kelly Street, Wouter Saelens, Robrecht Cannoodt, Yvan Saeys, Sandrine Dudoit, Lieven Clement Hit paper breakdown →	2020	352
12	TinGa: fast and flexible trajectory inference with Growing Neural Gas Bioinformatics ·Helena Todorov, Robrecht Cannoodt, Wouter Saelens, Yvan Saeys	2020	16
13	Dimensionality Reduction Methods in a Common Format [R package dyndimred version 1.0.3] Robrecht Cannoodt, Wouter Saelens	2020	1
14	A comparison of single-cell trajectory inference methods Nature Biotechnology ·Wouter Saelens, Robrecht Cannoodt, Helena Todorov, Yvan Saeys Hit paper breakdown →	2019	922
15	NicheNet: modeling intercellular communication by linking ligands to target genes Nature Methods ·Robin Browaeys, Wouter Saelens, Yvan Saeys Hit paper breakdown →	2019	1019
16	A comprehensive evaluation of module detection methods for gene expression data Nature Communications ·Wouter Saelens, Robrecht Cannoodt, Yvan Saeys	2018	171
17	Network Inference from Single-Cell Transcriptomic Data Methods in molecular biology ·Helena Todorov, Robrecht Cannoodt, Wouter Saelens, Yvan Saeys	2018	17
18	Yolk Sac Macrophages, Fetal Liver, and Adult Monocytes Can Colonize an Empty Niche and Develop into Functional Tissue-Resident Macrophages Immunity ·Lianne van de Laar, Wouter Saelens, Sofie De Prijck, Liesbet Martens, Charlotte L. Scott, Gert Van Isterdael, Eik Hoffmann, Rudi Beyaert, Yvan Saeys, Bart N. Lambrecht, Martin Guilliams Hit paper breakdown →	2016	441
19	The transcription factor Zeb2 regulates development of conventional and plasmacytoid DCs by repressing Id2 The Journal of Experimental Medicine ·Charlotte L. Scott, Bieke Soen, Liesbet Martens, Nicolas Skrypek, Wouter Saelens, Joachim Taminau, Gillian Blancke, Gert Van Isterdael, Danny Huylebroeck, Jody J. Haigh, Yvan Saeys, Martin Guilliams, Bart N. Lambrecht, Geert Berx	2016	108
20	Computational methods for trajectory inference from single‐cell transcriptomics European Journal of Immunology ·Robrecht Cannoodt, Wouter Saelens, Yvan Saeys	2016	123

About Wouter Saelens

Wouter Saelens is a scholar working on Biophysics, Immunology, Molecular Biology, Cancer Research and Neurology, 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), Gene Regulatory Network Analysis (5 papers), Genomics and Chromatin Dynamics (5 papers), Bioinformatics and Genomic Networks (4 papers), T-cell and B-cell Immunology (3 papers), Gene expression and cancer classification (3 papers), Immunotherapy and Immune Responses (2 papers) and Immune Response and Inflammation (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, Sara Aibar, Bart N. Lambrecht, Stein Aerts, Maxime De Waegeneer and Charlotte L. Scott. 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.

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