Robin Browaeys
Impact in
- Immunology top 5%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
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- Single-cell and spatial transcriptomics 4
- Bioinformatics and Genomic Networks 1
- Molecular Biology Techniques and Applications 1
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- IL-33, ST2, and ILC Pathways 2
- Co-authors
- Yvan Saeys (5 shared papers)Wouter Saelens (1 shared paper)Ruth Seurinck (3 shared papers)Satoshi Fukuyama (1 shared paper)Jason G. Cyster (1 shared paper)Matthias Vanderkerken (1 shared paper)Gérard Eberl (1 shared paper)Carl De Trez (1 shared paper)
- Journals
- eLife (2 papers)The Journal of Experimental Medicine (1 paper)Nature Methods (1 paper)Journal of Allergy and Clinical Immunology (1 paper)Nature Protocols (1 paper)
- Partner nations
- BelgiumUnited StatesNetherlands
In The Last Decade
Robin Browaeys
6 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Immunology 439
- Biophysics 78
- Cancer Research 149
- Molecular Biology 664
- Neurology 71
Countries citing papers authored by Robin Browaeys
This map shows the geographic impact of Robin Browaeys'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 Robin Browaeys with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin Browaeys more than expected).
Fields of papers citing papers by Robin Browaeys
This network shows the impact of papers produced by Robin Browaeys. 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 Robin Browaeys. The network helps show where Robin Browaeys may publish in the future.
Co-authors
The 25 scholars most cited alongside Robin Browaeys, 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 | 2023 | 15 | |
| 3 | 2021 | 12 | |
| 4 | 2024 | 9 | |
| 5 | 2025 | 4 | |
| 6 | 2024 | 3 |
About Robin Browaeys
Robin Browaeys is a scholar working on Molecular Biology, Immunology, Surgery, Biomedical Engineering and Physiology, having authored 6 papers that have together received 1.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), IL-33, ST2, and ILC Pathways (2 papers), Eosinophilic Esophagitis (2 papers), Bioinformatics and Genomic Networks (1 paper), Cell Image Analysis Techniques (1 paper), Asthma and respiratory diseases (1 paper), Molecular Biology Techniques and Applications (1 paper) and Biosensors and Analytical Detection (1 paper). The work is most often cited by research in Immunology (439 citations), Biophysics (78 citations), Cancer Research (149 citations), Molecular Biology (664 citations) and Neurology (71 citations). Robin Browaeys has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Yvan Saeys, Wouter Saelens, Ruth Seurinck, Satoshi Fukuyama, Jason G. Cyster, Matthias Vanderkerken, Gérard Eberl, Carl De Trez, Bart N. Lambrecht and Hamida Hammad. Their work appears in journals such as eLife, The Journal of Experimental Medicine, Nature Methods, Journal of Allergy and Clinical Immunology and Nature Protocols.
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.