Clément Frainay

1.1k total citations
23 papers, 653 citations indexed

About

Clément Frainay is a scholar working on Molecular Biology, Physiology and Spectroscopy. According to data from OpenAlex, Clément Frainay has authored 23 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Spectroscopy. Recurrent topics in Clément Frainay's work include Metabolomics and Mass Spectrometry Studies (16 papers), Bioinformatics and Genomic Networks (15 papers) and Microbial Metabolic Engineering and Bioproduction (14 papers). Clément Frainay is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (16 papers), Bioinformatics and Genomic Networks (15 papers) and Microbial Metabolic Engineering and Bioproduction (14 papers). Clément Frainay collaborates with scholars based in France, United Kingdom and Germany. Clément Frainay's co-authors include Fabien Jourdan, Nathalie Poupin, Florence Vinson, Adnan Ćustović, Sara Fontanella, Angela Simpson, Clare Murray, Steffen Neumann, Reza M. Salek and Rachel Lai and has published in prestigious journals such as Nucleic Acids Research, Environmental Science & Technology and Bioinformatics.

In The Last Decade

Clément Frainay

22 papers receiving 650 citations

Peers

Clément Frainay

PHYSI

SPECT

Richard Reisdorph United States

Joseph J. DeGeorge United States

Mengrong Li China

Tatjana Sajic Switzerland

Marie‐Pier Scott‐Boyer Canada

Arnald Alonso Spain

Alida Kindt Netherlands

Jesper J. Hedberg Sweden

Johan Kolmert Sweden

Francisco J. Planes Spain

Richard Reisdorph United States

Clément Frainay

450 ×1.0

99 ×0.9

PHYSI

60 ×1.0

122 ×2.3

SPECT

59 ×1.2

Citations per year, relative to Clément Frainay Clément Frainay (= 1×) peers Richard Reisdorph

Countries citing papers authored by Clément Frainay

Since Specialization

Citations

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

Fields of papers citing papers by Clément Frainay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clément Frainay

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

All Works

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20 of 20 papers shown

Poupin, Nathalie, et al.. (2025). Simulated metabolic profiles reveal biases in pathway analysis methods. Metabolomics. 21(5). 136–136.

Frainay, Clément, Nathalie Poupin, Russell P. Bowler, et al.. (2024). PathIntegrate: Multivariate modelling approaches for pathway-based multi-omics data integration. PLoS Computational Biology. 20(3). e1011814–e1011814. 8 indexed citations

Frainay, Clément, et al.. (2024). Genome scale metabolic network modelling for metabolic profile predictions. PLoS Computational Biology. 20(2). e1011381–e1011381. 2 indexed citations

Périn, Olivier, Anne Riu, Romain Grall, et al.. (2024). A strategy to detect metabolic changes induced by exposure to chemicals from large sets of condition-specific metabolic models computed with enumeration techniques. BMC Bioinformatics. 25(1). 234–234. 1 indexed citations

Frainay, Clément, et al.. (2023). APEX: an Annotation Propagation Workflow through Multiple Experimental Networks to Improve the Annotation of New Metabolite Classes in Caenorhabditis elegans. Analytical Chemistry. 95(48). 17550–17558. 1 indexed citations

Dupérier, Christophe, Florence Vinson, Pablo Rodríguez-Mier, et al.. (2022). Suggesting disease associations for overlooked metabolites using literature from metabolic neighbors. GigaScience. 12. 1 indexed citations

Frainay, Clément, Fabien Jourdan, Thomas Naake, et al.. (2022). Networks and Graphs Discovery in Metabolomics Data Analysis and Interpretation. Frontiers in Molecular Biosciences. 9. 841373–841373. 48 indexed citations

Bundy, Jacob G., Clément Frainay, Nathalie Poupin, et al.. (2022). Avoiding the Misuse of Pathway Analysis Tools in Environmental Metabolomics. Environmental Science & Technology. 56(20). 14219–14222. 8 indexed citations

Vinson, Florence, et al.. (2021). FORUM: building a Knowledge Graph from public databases and scientific literature to extract associations between chemicals and diseases. Bioinformatics. 37(21). 3896–3904. 7 indexed citations

10.

Frainay, Clément, et al.. (2021). Atopic dermatitis or eczema? Consequences of ambiguity in disease name for biomedical literature mining. Clinical & Experimental Allergy. 51(9). 1185–1194. 4 indexed citations

11.

Frainay, Clément, Nathalie Poupin, Pablo Rodríguez-Mier, et al.. (2021). Pathway analysis in metabolomics: Recommendations for the use of over-representation analysis. PLoS Computational Biology. 17(9). e1009105–e1009105. 89 indexed citations

12.

Mesnage, Robin, Martina Biserni, Sucharitha Balu, et al.. (2018). Integrated transcriptomics and metabolomics reveal signatures of lipid metabolism dysregulation in HepaRG liver cells exposed to PCB 126. Archives of Toxicology. 92(8). 2533–2547. 56 indexed citations

13.

Karakuş, Ceyda Öksel, Sadia Haider, Sara Fontanella, Clément Frainay, & Adnan Ćustović. (2018). Classification of Pediatric Asthma: From Phenotype Discovery to Clinical Practice. Frontiers in Pediatrics. 6. 258–258. 32 indexed citations

14.

Fontanella, Sara, Clément Frainay, Clare Murray, Angela Simpson, & Adnan Ćustović. (2018). Machine learning to identify pairwise interactions between specific IgE antibodies and their association with asthma: A cross-sectional analysis within a population-based birth cohort. PLoS Medicine. 15(11). e1002691–e1002691. 58 indexed citations

15.

Cottret, Ludovic, Clément Frainay, Floréal Cabanettes, et al.. (2018). MetExplore: collaborative edition and exploration of metabolic networks. Nucleic Acids Research. 46(W1). W495–W502. 78 indexed citations

16.

Poupin, Nathalie, Anne Corlu, Nicolas J. Cabaton, et al.. (2018). Large-Scale Modeling Approach Reveals Functional Metabolic Shifts during Hepatic Differentiation. Journal of Proteome Research. 18(1). 204–216. 5 indexed citations

17.

Frainay, Clément, Nathalie Poupin, Florence Vinson, et al.. (2017). MetExploreViz: web component for interactive metabolic network visualization. Bioinformatics. 34(2). 312–313. 32 indexed citations

18.

Vinson, Florence, Clément Frainay, Nathalie Poupin, et al.. (2016). A Computational Solution to Automatically Map Metabolite Libraries in the Context of Genome Scale Metabolic Networks. Frontiers in Molecular Biosciences. 3. 2–2. 3 indexed citations

19.

Frainay, Clément & Fabien Jourdan. (2016). Computational methods to identify metabolic sub-networks based on metabolomic profiles. Briefings in Bioinformatics. 18(1). 43–56. 47 indexed citations

20.

Morfoisse, Florent, Anna Kuchnio, Clément Frainay, et al.. (2014). Hypoxia Induces VEGF-C Expression in Metastatic Tumor Cells via a HIF-1α-Independent Translation-Mediated Mechanism. Cell Reports. 6(1). 155–167. 102 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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