Yvan Saeys
Impact in
- Immunology top 0.5%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Biophysics top 0.1%
- Cell Image Analysis Techniques
Papers in
- Biophysics 23
- Cell Image Analysis Techniques 23
- Co-authors
- Iñaki InzaPedro LarrañagaWouter SaelensBart N. LambrechtRobrecht CannoodtYves Van de PeerRobin BrowaeysSofie Van Gassen
- Journals
- Bioinformatics (15 papers)Nature Communications (10 papers)Cytometry Part A (9 papers)Cell Reports (5 papers)Frontiers in Immunology (5 papers)
- Partner nations
- BelgiumNetherlandsSpain
In The Last Decade
Yvan Saeys
191 papers receiving 16.1k citations
Hit Papers
Peers
Comparison fields: 5 of 208
- Immunology 4.2k
- Biophysics 1.0k
- Molecular Biology 8.5k
- Neurology 993
- Cancer Research 1.1k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 29 | |
| 10 | The boundary coefficient : a vertex measure for visualizing and finding structure in weighted graphs | 2019 | 1 |
| 11 | 2019 | 75 | |
| 12 | 2019 | 89 | |
| 13 | 2018 | 171 | |
| 14 | 2016 | 3 | |
| 15 | Automated Membrane Detection in Electron Microscopy using Convolutional Neural Networks | 2016 | 2 |
| 16 | Inferring gene regulatory networks from expression data using tree-based methods | 2011 | 3 |
| 17 | Regulatory network inference with GENIE3: application to the DREAM5 challenge | 2010 | 2 |
| 18 | New challenges for feature selection in data mining and knowledge discovery | 2008 | 20 |
| 19 | Annual Machine Learning Conference of Belgium and The Netherlands | 2006 | 2 |
| 20 | Selecting Relevant Features for Splice Site Prediction by Estimation of Distribution Algorithms. | 2002 | 1 |
About Yvan Saeys
Yvan Saeys is a scholar working on Biophysics, Structural Biology, Immunology, Molecular Biology and Computational Theory and Mathematics, having authored 196 papers that have together received 16.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (42 papers), Cell Image Analysis Techniques (23 papers), Gene expression and cancer classification (21 papers), Genomics and Phylogenetic Studies (19 papers), Machine Learning in Bioinformatics (17 papers), RNA and protein synthesis mechanisms (16 papers), Immune Cell Function and Interaction (16 papers) and Bioinformatics and Genomic Networks (16 papers). The work is most often cited by research in Immunology (4.2k citations), Biophysics (1.0k citations), Molecular Biology (8.5k citations), Neurology (993 citations) and Cancer Research (1.1k 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, Yves Van de Peer, Robin Browaeys, Sofie Van Gassen, Helena Todorov and Martin Guilliams. Their work appears in journals such as Bioinformatics, Nature Communications, Cytometry Part A, Cell Reports and Frontiers in Immunology.
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.