Yvan Saeys
Impact in
- Immunology top 0.5%
- Immune cells in cancer
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Biophysics top 0.2%
- Cell Image Analysis Techniques
Papers in
-
- Single-cell and spatial transcriptomics 43
- Gene expression and cancer classification 17
- Bioinformatics and Genomic Networks 15
- Genomics and Phylogenetic Studies 13
- Immunology 40
- Immune Cell Function and Interaction 15
- Immunotherapy and Immune Responses 12
- T-cell and B-cell Immunology 12
- Co-authors
- Iñaki Inza (4 shared papers)Pedro Larrañaga (3 shared papers)Wouter Saelens (15 shared papers)Bart N. Lambrecht (18 shared papers)Robrecht Cannoodt (14 shared papers)Robin Browaeys (5 shared papers)Yves Van de Peer (37 shared papers)Sofie Van Gassen (26 shared papers)
- Journals
- Bioinformatics (16 papers)Nature Communications (10 papers)Cytometry Part A (9 papers)Frontiers in Immunology (5 papers)Cell Reports (5 papers)
- Partner nations
- BelgiumNetherlandsSpain
In The Last Decade
Yvan Saeys
195 papers receiving 16.8k citations
Yvan Saeys's Hit Papers
Peers
Comparison fields: 5 of 207
- Immunology 3.9k
- Biophysics 951
- Neurology 961
- Molecular Biology 8.1k
- Cancer Research 966
Countries citing papers authored by Yvan Saeys
This map shows the geographic impact of Yvan Saeys'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 Yvan Saeys with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yvan Saeys more than expected).
Fields of papers citing papers by Yvan Saeys
This network shows the impact of papers produced by Yvan Saeys. 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 Yvan Saeys. The network helps show where Yvan Saeys may publish in the future.
Co-authors
The 25 scholars most cited alongside Yvan Saeys, 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 199 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A review of feature selection techniques in bioinformatics Hit paper breakdown → | 2007 | 3627 |
| 2 | NicheNet: modeling intercellular communication by linking ligands to target genes Hit paper breakdown → | 2019 | 1101 |
| 3 | FlowSOM: Using self‐organizing maps for visualization and interpretation of cytometry data Hit paper breakdown → | 2015 | 1084 |
| 4 | A comparison of single-cell trajectory inference methods Hit paper breakdown → | 2019 | 961 |
| 5 | A scalable SCENIC workflow for single-cell gene regulatory network analysis Hit paper breakdown → | 2020 | 794 |
| 6 | A single-cell atlas of mouse brain macrophages reveals unique transcriptional identities shaped by ontogeny and tissue environment Hit paper breakdown → | 2019 | 663 |
| 7 | Bone marrow-derived monocytes give rise to self-renewing and fully differentiated Kupffer cells Hit paper breakdown → | 2016 | 622 |
| 8 | The function of Fcγ receptors in dendritic cells and macrophages Hit paper breakdown → | 2014 | 494 |
| 9 | Yolk Sac Macrophages, Fetal Liver, and Adult Monocytes Can Colonize an Empty Niche and Develop into Functional Tissue-Resident Macrophages Hit paper breakdown → | 2016 | 447 |
| 10 | 2009 | 420 | |
| 11 | Trajectory-based differential expression analysis for single-cell sequencing data Hit paper breakdown → | 2020 | 393 |
| 12 | 2016 | 321 | |
| 13 | Vascular transcription factors guide plant epidermal responses to limiting phosphate conditions Hit paper breakdown → | 2020 | 218 |
| 14 | 2014 | 183 | |
| 15 | 2018 | 182 | |
| 16 | 2019 | 177 | |
| 17 | 2020 | 168 | |
| 18 | 2007 | 159 | |
| 19 | 2021 | 142 | |
| 20 | 2018 | 140 |
About Yvan Saeys
Yvan Saeys is a scholar working on Molecular Biology, Immunology, Artificial Intelligence, Biophysics and Computational Theory and Mathematics, having authored 199 papers that have together received 17.0k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (43 papers), Cell Image Analysis Techniques (20 papers), Gene expression and cancer classification (17 papers), Immune Cell Function and Interaction (15 papers), Bioinformatics and Genomic Networks (15 papers), Genomics and Phylogenetic Studies (13 papers), Immunotherapy and Immune Responses (12 papers) and T-cell and B-cell Immunology (12 papers). The work is most often cited by research in Immunology (3.9k citations), Biophysics (951 citations), Neurology (961 citations), Molecular Biology (8.1k citations) and Cancer Research (966 citations). Yvan Saeys has collaborated with scholars based in Belgium, Netherlands and Spain. Frequent co-authors include Iñaki Inza, Pedro Larrañaga, Wouter Saelens, Bart N. Lambrecht, Robrecht Cannoodt, Robin Browaeys, Yves Van de Peer, Sofie Van Gassen, Helena Todorov and Martin Guilliams. Their work appears in journals such as Bioinformatics, Nature Communications, Cytometry Part A, Frontiers in Immunology and Cell Reports.
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.