Fabien Jourdan

2.7k total citations
55 papers, 1.2k citations indexed

About

Fabien Jourdan is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Fabien Jourdan has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Fabien Jourdan's work include Metabolomics and Mass Spectrometry Studies (32 papers), Microbial Metabolic Engineering and Bioproduction (28 papers) and Bioinformatics and Genomic Networks (27 papers). Fabien Jourdan is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (32 papers), Microbial Metabolic Engineering and Bioproduction (28 papers) and Bioinformatics and Genomic Networks (27 papers). Fabien Jourdan collaborates with scholars based in France, United Kingdom and Netherlands. Fabien Jourdan's co-authors include Clément Frainay, Florence Vinson, Ludovic Cottret, Guy Mélançon, Michael P. Barrett, Nathalie Poupin, Yves Chiricota, David Wildridge, M.-F. Sagot and Hubert Charles and has published in prestigious journals such as Nucleic Acids Research, Environmental Science & Technology and Bioinformatics.

In The Last Decade

Fabien Jourdan

54 papers receiving 1.2k citations

Peers

Fabien Jourdan
Assaf Gottlieb United States
Zhenqiang Su United States
Johan Lim South Korea
Jiyang Dong China
Jingpu Zhang China
Alberto Paccanaro United Kingdom
Areejit Samal India
Mark P. Styczynski United States
Assaf Gottlieb United States
Fabien Jourdan
Citations per year, relative to Fabien Jourdan Fabien Jourdan (= 1×) peers Assaf Gottlieb

Countries citing papers authored by Fabien Jourdan

Since Specialization
Citations

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

Fields of papers citing papers by Fabien Jourdan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabien Jourdan

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

All Works

20 of 20 papers shown
1.
Poupin, Nathalie, et al.. (2025). Simulated metabolic profiles reveal biases in pathway analysis methods. Metabolomics. 21(5). 136–136.
2.
Guitton, Yann, Floriant Bellvert, Stéphanie Heux, et al.. (2024). PhysioFit: a software to quantify cell growth parameters and extracellular fluxes. Bioinformatics. 40(8). 1 indexed citations
3.
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
4.
Canlet, Cécile, Marie Tremblay‐Franco, Élodie Chaillou, et al.. (2022). Gestational exposure to bisphenol A induces region-specific changes in brain metabolomic fingerprints in sheep. Environment International. 165. 107336–107336. 7 indexed citations
5.
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
6.
Pétéra, Mélanie, Cécile Canlet, Stéphanie Durand, et al.. (2021). Milk metabolome reveals variations on enteric methane emissions from dairy cows fed a specific inhibitor of the methanogenesis pathway. Journal of Dairy Science. 104(12). 12553–12566. 16 indexed citations
7.
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
8.
Boccard, Julien, Domitille Schvartz, Santiago Codesido, et al.. (2021). Gaining Insights Into Metabolic Networks Using Chemometrics and Bioinformatics: Chronic Kidney Disease as a Clinical Model. Frontiers in Molecular Biosciences. 8. 682559–682559. 5 indexed citations
9.
Alassane‐Kpembi, Imourana, Cécile Canlet, Marie Tremblay‐Franco, et al.. (2020). 1H-NMR metabolomics response to a realistic diet contamination with the mycotoxin deoxynivalenol: Effect of probiotics supplementation. Food and Chemical Toxicology. 138. 111222–111222. 13 indexed citations
10.
Poupin, Nathalie, Florence Vinson, Aurélie Batut, et al.. (2020). Improving lipid mapping in Genome Scale Metabolic Networks using ontologies. Metabolomics. 16(4). 44–44. 15 indexed citations
11.
Poupin, Nathalie, Marie Tremblay‐Franco, Cécile Canlet, et al.. (2019). Arterio-venous metabolomics exploration reveals major changes across liver and intestine in the obese Yucatan minipig. Scientific Reports. 9(1). 12527–12527. 14 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.
Burgess, Karl, et al.. (2017). MetaNetter 2: A Cytoscape plugin for ab initio network analysis and metabolite feature classification. Journal of Chromatography B. 1071. 68–74. 25 indexed citations
14.
Jourdan, Fabien, et al.. (2013). Remote-Controlled Ambidextrous Robot Hand Concept. Brunel University Research Archive (BURA) (Brunel University London). 4(11). 569–574. 2 indexed citations
15.
Acuña, Vicente, Étienne Birmelé, Ludovic Cottret, et al.. (2012). Telling stories: Enumerating maximal directed acyclic graphs with a constrained set of sources and targets. Theoretical Computer Science. 457. 1–9. 6 indexed citations
16.
Enjalbert, Brice, Fabien Jourdan, & Jean‐Charles Portais. (2011). Intuitive Visualization and Analysis of Multi-Omics Data and Application to Escherichia coli Carbon Metabolism. PLoS ONE. 6(6). e21318–e21318. 14 indexed citations
17.
Cottret, Ludovic & Fabien Jourdan. (2010). Graph methods for the investigation of metabolic networks in parasitology. Parasitology. 137(9). 1393–1407. 12 indexed citations
18.
Bourqui, Romain, Ludovic Cottret, Vincent Lacroix, et al.. (2007). Metabolic network visualization eliminating node redundance and preserving metabolic pathways. BMC Systems Biology. 1(1). 29–29. 25 indexed citations
19.
Chiricota, Yves, Fabien Jourdan, & Guy Mélançon. (2004). Metric-Based Network Exploration and Multiscale Scatterplot. 135–142. 6 indexed citations
20.
Jourdan, Fabien & Guy Mélançon. (2003). A tool for metabolic and regulatory pathways visual analysis. 46–55. 3 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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