Christophe Vanderaa
Impact in
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- Insect-Plant Interactions and Control
- Insect and Pesticide Research
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- Advanced Proteomics Techniques and Applications
Papers in
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- Single-cell and spatial transcriptomics 7
- Gene expression and cancer classification 1
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- Advanced Proteomics Techniques and Applications 6
- Co-authors
- Laurent Gatto (8 shared papers)Tom Wenseleers (4 shared papers)Pierre G. Coulie (2 shared papers)Sophie Lucas (2 shared papers)Julie Stockis (1 shared paper)Michael Saunders (1 shared paper)Romain Merceron (1 shared paper)Didier Colau (1 shared paper)
- Journals
- Nature Communications (1 paper)iScience (1 paper)Genome biology (1 paper)Functional Ecology (1 paper)Blood (1 paper)
- Partner nations
- BelgiumUnited KingdomFrance
In The Last Decade
Christophe Vanderaa
15 papers receiving 344 citations
Christophe Vanderaa's Hit Papers
Peers
Comparison fields: 5 of 85
- Insect Science 42
- Spectroscopy 50
- Biophysics 16
- Oncology 51
- Immunology 40
Countries citing papers authored by Christophe Vanderaa
This map shows the geographic impact of Christophe Vanderaa'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 Christophe Vanderaa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christophe Vanderaa more than expected).
Fields of papers citing papers by Christophe Vanderaa
This network shows the impact of papers produced by Christophe Vanderaa. 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 Christophe Vanderaa. The network helps show where Christophe Vanderaa may publish in the future.
Co-authors
The 25 scholars most cited alongside Christophe Vanderaa, 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 | 2018 | 110 | |
| 2 | Predicting and improving complex beer flavor through machine learning Hit paper breakdown → | 2024 | 80 |
| 3 | 2019 | 35 | |
| 4 | 2021 | 30 | |
| 5 | 2023 | 23 | |
| 6 | 2020 | 18 | |
| 7 | 2022 | 16 | |
| 8 | 2023 | 15 | |
| 9 | 2022 | 4 | |
| 10 | 2024 | 3 | |
| 11 | 2025 | 3 | |
| 12 | 2025 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2020 | 1 | |
| 16 | 2023 | 0 |
About Christophe Vanderaa
Christophe Vanderaa is a scholar working on Molecular Biology, Spectroscopy, Insect Science, Surgery and Plant Science, having authored 16 papers that have together received 344 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), Advanced Proteomics Techniques and Applications (6 papers), Insect-Plant Interactions and Control (2 papers), Insect symbiosis and bacterial influences (2 papers), Pancreatic function and diabetes (2 papers), Gene expression and cancer classification (1 paper), Insect Utilization and Effects (1 paper) and Liver physiology and pathology (1 paper). The work is most often cited by research in Insect Science (42 citations), Spectroscopy (50 citations), Biophysics (16 citations), Oncology (51 citations) and Immunology (40 citations). Christophe Vanderaa has collaborated with scholars based in Belgium, United Kingdom and France. Frequent co-authors include Laurent Gatto, Tom Wenseleers, Pierre G. Coulie, Sophie Lucas, Julie Stockis, Michael Saunders, Romain Merceron, Didier Colau, Hans de Haard and Bas van der Woning. Their work appears in journals such as Nature Communications, iScience, Genome biology, Functional Ecology and Blood.
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.