Christophe Vanderaa

703 total citations · 1 hit paper
16 papers, 303 citations indexed

About

Christophe Vanderaa is a scholar working on Molecular Biology, Spectroscopy and Biophysics. According to data from OpenAlex, Christophe Vanderaa has authored 16 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Spectroscopy and 3 papers in Biophysics. Recurrent topics in Christophe Vanderaa's work include Single-cell and spatial transcriptomics (8 papers), Advanced Proteomics Techniques and Applications (6 papers) and Cell Image Analysis Techniques (3 papers). Christophe Vanderaa is often cited by papers focused on Single-cell and spatial transcriptomics (8 papers), Advanced Proteomics Techniques and Applications (6 papers) and Cell Image Analysis Techniques (3 papers). Christophe Vanderaa collaborates with scholars based in Belgium, United Kingdom and France. Christophe Vanderaa's co-authors include Laurent Gatto, Sophie Lucas, Pierre G. Coulie, Tom Wenseleers, Romain Merceron, Julie Stockis, Michael Saunders, Stéphanie Liénart, Savvas N. Savvides and Didier Colau and has published in prestigious journals such as Science, Nature Communications and Blood.

In The Last Decade

Christophe Vanderaa

14 papers receiving 302 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Predicting and improving complex beer flavor through machine learning

2024 62 citations Supinya Piampongsant, Miguel Roncoroni et al. Nature Communications profile →

Peers

Christophe Vanderaa

ONCOL

SPECT

IMMUN

Tushar H. More Germany

Sybille Hunt Australia

Rui Qiao Canada

Sebastian Canzler Germany

Waeowalee Choksawangkarn Thailand

Prakash Jha India

Setsuko Komatsu Japan

Takashi Kumazaki Japan

Michael Wuczkowski Austria

Brandon Wong United States

Tushar H. More Germany

Christophe Vanderaa

203 ×1.7

24 ×0.5

ONCOL

31 ×0.6

SPECT

16 ×0.3

19 ×0.4

IMMUN

Citations per year, relative to Christophe Vanderaa Christophe Vanderaa (= 1×) peers Tushar H. More

Countries citing papers authored by Christophe Vanderaa

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Christophe Vanderaa

This figure shows the co-authorship network connecting the top 25 collaborators of Christophe Vanderaa. A scholar is included among the top collaborators of Christophe Vanderaa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christophe Vanderaa. Christophe Vanderaa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Vanderaa, Christophe, et al.. (2025). msqrob2TMT: Robust Linear Mixed Models for Inferring Differential Abundant Proteins in Labeled Experiments With Arbitrarily Complex Design. Molecular & Cellular Proteomics. 24(7). 101002–101002. 1 indexed citations

Vanderaa, Christophe & Laurent Gatto. (2025). scplainer: using linear models to understand mass spectrometry-based single-cell proteomics data. Genome biology. 26(1). 237–237.

Piampongsant, Supinya, Miguel Roncoroni, Beatriz Herrera‐Malaver, et al.. (2024). Predicting and improving complex beer flavor through machine learning. Nature Communications. 15(1). 2368–2368. 62 indexed citations breakdown →

Vanderaa, Christophe, Sébastien Pyr dit Ruys, Christopher Kune, et al.. (2024). Standardized Workflow for Mass-Spectrometry-Based Single-Cell Proteomics Data Processing and Analysis Using the scp Package. Methods in molecular biology. 2817. 177–220. 3 indexed citations

Dzialo, Maria C., Supinya Piampongsant, Christophe Vanderaa, et al.. (2024). Drosophila suzukii and Drosophila melanogaster prefer distinct microbial and plant aroma compounds in a complex fermented matrix. iScience. 27(11). 111141–111141. 2 indexed citations

Belle, Morgane, Nicolas Dauguet, Younès Achouri, et al.. (2023). Axon guidance genes control hepatic artery development. Development. 150(16).

Righelli, Dario, Marcel Ramos, Ricard Argelaguet, et al.. (2023). Curated single cell multimodal landmark datasets for R/Bioconductor. PLoS Computational Biology. 19(8). e1011324–e1011324. 2 indexed citations

Vanderaa, Christophe & Laurent Gatto. (2023). The Current State of Single‐Cell Proteomics Data Analysis. Current Protocols. 3(1). e658–e658. 14 indexed citations

Vanderaa, Christophe & Laurent Gatto. (2023). Revisiting the Thorny Issue of Missing Values in Single-Cell Proteomics. Journal of Proteome Research. 22(9). 2775–2784. 18 indexed citations

10.

Moulis, Manon, Nicolas Dauguet, Christophe Vanderaa, et al.. (2022). Identification and implication of tissue-enriched ligands in epithelial–endothelial crosstalk during pancreas development. Scientific Reports. 12(1). 12498–12498. 3 indexed citations

11.

Baren, Nicolas van, Violaine Havelange, Christophe Vanderaa, et al.. (2022). Therapeutic activity of GARP:TGF-β1 blockade in murine primary myelofibrosis. Blood. 141(5). 490–502. 12 indexed citations

12.

Vanderaa, Christophe & Laurent Gatto. (2021). Replication of single-cell proteomics data reveals important computational challenges. Expert Review of Proteomics. 18(10). 835–843. 28 indexed citations

13.

Sobhy, Islam S., Christophe Vanderaa, Felix Wäckers, et al.. (2020). Bacterial phylogeny predicts volatile organic compound composition and olfactory response of an aphid parasitoid. Oikos. 129(9). 1415–1428. 18 indexed citations

14.

Vanderaa, Christophe & Laurent Gatto. (2020). A standardized computational framework for the analysis of mass spectrometry-based single-cell proteomics data. Faculty of 1000 Research Ltd. 9. 1 indexed citations

15.

Sobhy, Islam S., Christophe Vanderaa, Jetske G. de Boer, et al.. (2019). Volatiles of bacteria associated with parasitoid habitats elicit distinct olfactory responses in an aphid parasitoid and its hyperparasitoid. Functional Ecology. 34(2). 507–520. 33 indexed citations

16.

Liénart, Stéphanie, Romain Merceron, Christophe Vanderaa, et al.. (2018). Structural basis of latent TGF-β1 presentation and activation by GARP on human regulatory T cells. Science. 362(6417). 952–956. 106 indexed citations

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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