Claudine Chaouiya
- Molecular Biology top 5%
- Computational Theory and Mathematics top 1%
- Genetics top 10%
- Oncology
- Immunology
- Co-authors
- Denis ThieffryAurélien NaldiAdrien FauréÉlisabeth RémyPedro T. MonteiroLucas SánchezAitor GonzálezWassim Abou-Jaoudé
- Topics
- Gene Regulatory Network Analysis (32 papers)Bioinformatics and Genomic Networks (24 papers)Microbial Metabolic Engineering and Bioproduction (21 papers)
- Partner nations
- FrancePortugalUnited States
In The Last Decade
Claudine Chaouiya
53 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 144
- Molecular Biology 2.2k
- Computational Theory and Mathematics 394
- Genetics 212
- Oncology 138
- Immunology 130
Countries citing papers authored by Claudine Chaouiya
This map shows the geographic impact of Claudine Chaouiya'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 Claudine Chaouiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudine Chaouiya more than expected).
Fields of papers citing papers by Claudine Chaouiya
This network shows the impact of papers produced by Claudine Chaouiya. 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 Claudine Chaouiya. The network helps show where Claudine Chaouiya may publish in the future.
Co-authorship network of co-authors of Claudine Chaouiya
This figure shows the co-authorship network connecting the top 25 collaborators of Claudine Chaouiya. A scholar is included among the top collaborators of Claudine Chaouiya 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 Claudine Chaouiya. Claudine Chaouiya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 32 | |
| 3 | 13 | |
| 4 | 2 | |
| 5 | 63 | |
| 6 | 10 | |
| 7 | 152 | |
| 8 | 57 | |
| 9 | 18 | |
| 10 | Dynamical modeling and analysis of large cellular regulatory networks.: D. Bérenguier, C. Chaouiya, P. T. Monteiro, A. Naldi, E. Remy, D. Thieffry and L. Tichit | 2 |
| 11 | 98 | |
| 12 | 89 | |
| 13 | 43 | |
| 14 | 247 | |
| 15 | 112 | |
| 16 | 43 | |
| 17 | 234 | |
| 18 | 115 | |
| 19 | Qualitative modelling of regulated metabolic pathways: application to the tryptophan biosynthesis in E.Coli | 5 |
| 20 | 43 |
About Claudine Chaouiya
Claudine Chaouiya is a scholar working on Molecular Biology, Biophysics and Cell Biology, having authored 54 papers that have together received 2.7k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (32 papers), Bioinformatics and Genomic Networks (24 papers) and Microbial Metabolic Engineering and Bioproduction (21 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Computational Theory and Mathematics (394 citations) and Biophysics (120 citations). Claudine Chaouiya has collaborated with scholars based in France, Portugal and United States. Frequent co-authors include Denis Thieffry, Aurélien Naldi, Adrien Fauré, Élisabeth Rémy, Pedro T. Monteiro, Lucas Sánchez, Aitor González, Wassim Abou-Jaoudé, Jorge Carneiro and Tomáš Helikar. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.
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.