Céline Brouard

544 total citations
12 papers, 279 citations indexed

About

Céline Brouard is a scholar working on Molecular Biology, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Céline Brouard has authored 12 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Spectroscopy and 2 papers in Biomedical Engineering. Recurrent topics in Céline Brouard's work include Metabolomics and Mass Spectrometry Studies (6 papers), Bioinformatics and Genomic Networks (5 papers) and Gene expression and cancer classification (4 papers). Céline Brouard is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (6 papers), Bioinformatics and Genomic Networks (5 papers) and Gene expression and cancer classification (4 papers). Céline Brouard collaborates with scholars based in France, Finland and Germany. Céline Brouard's co-authors include Juho Rousu, Sebastian Böcker, Huibin Shen, Kai Dührkop, Florence d’Alché–Buc, Sándor Szedmák, Eric Bach, Steffen Neumann, Tobias Kind and Christoph Ruttkies and has published in prestigious journals such as Bioinformatics, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Céline Brouard

10 papers receiving 279 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Céline Brouard France	7	230	132	71	57	21	12	279
Jeremy R. Ash United States	7	158 0.7×	83 0.6×	81 1.1×	16 0.3×	9 0.4×	13	277
Elizabeth Billings United States	8	198 0.9×	158 1.2×	64 0.9×	56 1.0×	12 0.6×	10	303
Jaqueline A. Picache United States	7	235 1.0×	274 2.1×	20 0.3×	51 0.9×	18 0.9×	10	376
Bailey S. Rose United States	7	266 1.2×	347 2.6×	17 0.2×	54 0.9×	23 1.1×	8	424
Dylan H. Ross United States	10	256 1.1×	279 2.1×	20 0.3×	57 1.0×	37 1.8×	22	434
Arun S. Moorthy United States	11	173 0.8×	186 1.4×	13 0.2×	55 1.0×	3 0.1×	27	331
Christophe Dupérier France	3	326 1.4×	89 0.7×	13 0.2×	49 0.9×	12 0.6×	4	406
Fabienne Jeanneret Switzerland	11	179 0.8×	114 0.9×	27 0.4×	64 1.1×	100 4.8×	13	383
Ansgar Korf Germany	13	245 1.1×	174 1.3×	6 0.1×	43 0.8×	14 0.7×	22	348

Countries citing papers authored by Céline Brouard

Since Specialization

Citations

This map shows the geographic impact of Céline Brouard'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 Céline Brouard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Céline Brouard more than expected).

Fields of papers citing papers by Céline Brouard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Céline Brouard. 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 Céline Brouard. The network helps show where Céline Brouard may publish in the future.

Co-authorship network of co-authors of Céline Brouard

This figure shows the co-authorship network connecting the top 25 collaborators of Céline Brouard. A scholar is included among the top collaborators of Céline Brouard 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 Céline Brouard. Céline Brouard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Gravier, E., Gwendal Josse, Isabelle Fournier, et al.. (2025). NMFProfiler: a multi-omics integration method for samples stratified in groups. Bioinformatics. 41(2). 1 indexed citations

Brouard, Céline, Raphaël Mourad, & Nathalie Vialaneix. (2024). Should we really use graph neural networks for transcriptomic prediction?. Briefings in Bioinformatics. 25(2). 2 indexed citations

Phan, Hai Thanh, Céline Brouard, & Raphaël Mourad. (2024). Semi-supervised learning with pseudo-labeling compares favorably with large language models for regulatory sequence prediction. Briefings in Bioinformatics. 25(6).

Brouard, Céline, et al.. (2022). Feature selection for kernel methods in systems biology. NAR Genomics and Bioinformatics. 4(1). lqac014–lqac014. 6 indexed citations

Blanchet, Nicolas, Céline Brouard, Christopher J. Grassa, et al.. (2020). RNA expression dataset of 384 sunflower hybrids in field condition. OCL. 27. 36–36. 2 indexed citations

Brouard, Céline, et al.. (2019). Improved Small Molecule Identification through Learning Combinations of Kernel Regression Models. Metabolites. 9(8). 160–160. 15 indexed citations

Bach, Eric, Sándor Szedmák, Céline Brouard, Sebastian Böcker, & Juho Rousu. (2018). Liquid-chromatography retention order prediction for metabolite identification. Bioinformatics. 34(17). i875–i883. 45 indexed citations

Schymanski, Emma, Christoph Ruttkies, Martin Krauß, et al.. (2017). Critical Assessment of Small Molecule Identification 2016: automated methods. Journal of Cheminformatics. 9(1). 22–22. 123 indexed citations

Kludas, Jana, Mikko Arvas, Sandra Castillo, et al.. (2016). Machine Learning of Protein Interactions in Fungal Secretory Pathways. PLoS ONE. 11(7). e0159302–e0159302. 13 indexed citations

10.

Brouard, Céline, Huibin Shen, Kai Dührkop, et al.. (2016). Fast metabolite identification with Input Output Kernel Regression. Bioinformatics. 32(12). i28–i36. 61 indexed citations

11.

Brouard, Céline, Christel Vrain, Julie Dubois, et al.. (2013). Learning a Markov Logic network for supervised gene regulatory network inference. BMC Bioinformatics. 14(1). 273–273. 11 indexed citations

12.

Brouard, Céline, et al.. (2009). [Study of the predictive value of detection tests for silent aspirations].. PubMed. 130(1). 53–60.

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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