Pauline Traynard

634 total citations
8 papers, 343 citations indexed

About

Pauline Traynard is a scholar working on Molecular Biology, Pharmacology and Endocrine and Autonomic Systems. According to data from OpenAlex, Pauline Traynard has authored 8 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 1 paper in Pharmacology and 1 paper in Endocrine and Autonomic Systems. Recurrent topics in Pauline Traynard's work include Bioinformatics and Genomic Networks (5 papers), Gene Regulatory Network Analysis (4 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Pauline Traynard is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), Gene Regulatory Network Analysis (4 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Pauline Traynard collaborates with scholars based in France, Germany and Hungary. Pauline Traynard's co-authors include Julio Sáez-Rodríguez, Denis Thieffry, Wassim Abou-Jaoudé, Claudine Chaouiya, Tomáš Helikar, Pedro T. Monteiro, Laurence Calzone, Arnau Montagud, Emmanuel Barillot and Jonathan Chauvin and has published in prestigious journals such as Bioinformatics, eLife and Frontiers in Physiology.

In The Last Decade

Pauline Traynard

8 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pauline Traynard France 7 266 65 43 31 27 8 343
Oleksii S. Rukhlenko Ireland 12 294 1.1× 58 0.9× 46 1.1× 50 1.6× 24 0.9× 25 426
Jiayuan Zhong China 12 235 0.9× 22 0.3× 58 1.3× 19 0.6× 19 0.7× 35 358
Helge Hass Germany 10 269 1.0× 37 0.6× 14 0.3× 37 1.2× 30 1.1× 11 403
Vincent Knight-Schrijver United Kingdom 5 237 0.9× 43 0.7× 18 0.4× 15 0.5× 12 0.4× 9 321
Loredana Martignetti France 7 239 0.9× 29 0.4× 54 1.3× 36 1.2× 14 0.5× 17 295
Aijun Liao China 10 274 1.0× 27 0.4× 84 2.0× 42 1.4× 6 0.2× 27 369
Andrew Matteson United States 4 189 0.7× 22 0.3× 15 0.3× 27 0.9× 20 0.7× 7 266
Max Schelker Germany 7 318 1.2× 22 0.3× 70 1.6× 81 2.6× 19 0.7× 7 450
Julian Schwab Germany 12 253 1.0× 56 0.9× 35 0.8× 32 1.0× 4 0.1× 31 418
Amaya Garcia Muñoz Ireland 3 160 0.6× 30 0.5× 77 1.8× 33 1.1× 14 0.5× 3 205

Countries citing papers authored by Pauline Traynard

Since Specialization
Citations

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

Fields of papers citing papers by Pauline Traynard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pauline Traynard

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

All Works

8 of 8 papers shown
1.
Montagud, Arnau, Luis Tobalina, Pauline Traynard, et al.. (2022). Patient-specific Boolean models of signalling networks guide personalised treatments. eLife. 11. 37 indexed citations
2.
Traynard, Pauline, et al.. (2020). Efficient Pharmacokinetic Modeling Workflow With the MonolixSuite: A Case Study of Remifentanil. CPT Pharmacometrics & Systems Pharmacology. 9(4). 198–210. 45 indexed citations
3.
Montagud, Arnau, et al.. (2019). Personalization of Logical Models With Multi-Omics Data Allows Clinical Stratification of Patients. Frontiers in Physiology. 9. 1965–1965. 53 indexed citations
4.
Montagud, Arnau, Pauline Traynard, Loredana Martignetti, et al.. (2017). Conceptual and computational framework for logical modelling of biological networks deregulated in diseases. Briefings in Bioinformatics. 20(4). 1238–1249. 6 indexed citations
5.
Traynard, Pauline, Luis Tobalina, Federica Eduati, Laurence Calzone, & Julio Sáez-Rodríguez. (2017). Logic Modeling in Quantitative Systems Pharmacology. CPT Pharmacometrics & Systems Pharmacology. 6(8). 499–511. 22 indexed citations
6.
Traynard, Pauline, Céline Feillet, Sylvain Soliman, Franck Delaunay, & François Fages. (2016). Model-based investigation of the circadian clock and cell cycle coupling in mouse embryonic fibroblasts: Prediction of RevErb-α up-regulation during mitosis. Biosystems. 149. 59–69. 9 indexed citations
7.
Abou-Jaoudé, Wassim, Pauline Traynard, Pedro T. Monteiro, et al.. (2016). Logical Modeling and Dynamical Analysis of Cellular Networks. Frontiers in Genetics. 7. 94–94. 152 indexed citations
8.
Traynard, Pauline, Adrien Fauré, François Fages, & Denis Thieffry. (2016). Logical model specification aided by model-checking techniques: application to the mammalian cell cycle regulation. Bioinformatics. 32(17). i772–i780. 19 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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