Romain Yvinec

402 total citations
24 papers, 220 citations indexed

About

Romain Yvinec is a scholar working on Molecular Biology, Genetics and Reproductive Medicine. According to data from OpenAlex, Romain Yvinec has authored 24 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Genetics and 8 papers in Reproductive Medicine. Recurrent topics in Romain Yvinec's work include Hypothalamic control of reproductive hormones (6 papers), Receptor Mechanisms and Signaling (6 papers) and Gene Regulatory Network Analysis (5 papers). Romain Yvinec is often cited by papers focused on Hypothalamic control of reproductive hormones (6 papers), Receptor Mechanisms and Signaling (6 papers) and Gene Regulatory Network Analysis (5 papers). Romain Yvinec collaborates with scholars based in France, Chile and United States. Romain Yvinec's co-authors include Pascale Crépieux, Michael C. Mackey, Anne Poupon, Éric Reiter, Frédérique Clément, Marta Tyran‐Kamińska, Flavie Landomiel, Gilles Bruneau, Francesco De Pascali and Mohammed Akli Ayoub and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Theoretical Biology and Molecular and Cellular Endocrinology.

In The Last Decade

Romain Yvinec

21 papers receiving 217 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Romain Yvinec France 9 120 65 65 43 31 24 220
Cui-Ping Cheng China 6 38 0.3× 95 1.5× 10 0.2× 47 1.1× 11 0.4× 14 346
Flavie Landomiel France 7 153 1.3× 49 0.8× 93 1.4× 41 1.0× 71 2.3× 8 234
Clara Lazzaretti Italy 11 96 0.8× 76 1.2× 120 1.8× 74 1.7× 15 0.5× 32 262
Seiji Watanabe Japan 13 109 0.9× 53 0.8× 176 2.7× 204 4.7× 13 0.4× 51 412
Gabriel Stölting Germany 11 188 1.6× 13 0.2× 65 1.0× 57 1.3× 59 1.9× 19 321
Gail Sievert United States 11 259 2.2× 34 0.5× 47 0.7× 13 0.3× 56 1.8× 15 374
Tomoaki Sano Japan 9 267 2.2× 28 0.4× 33 0.5× 22 0.5× 91 2.9× 16 373
Yingju Li United States 11 204 1.7× 15 0.2× 73 1.1× 35 0.8× 5 0.2× 13 447
Ronen E. Mukamel United States 10 146 1.2× 227 3.5× 3 0.0× 9 0.2× 22 0.7× 17 416
Bao Tran Nguyen United States 9 277 2.3× 38 0.6× 5 0.1× 175 4.1× 85 2.7× 16 512

Countries citing papers authored by Romain Yvinec

Since Specialization
Citations

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

Fields of papers citing papers by Romain Yvinec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Romain Yvinec

This figure shows the co-authorship network connecting the top 25 collaborators of Romain Yvinec. A scholar is included among the top collaborators of Romain Yvinec 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 Romain Yvinec. Romain Yvinec 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.
Yvinec, Romain, et al.. (2025). Two-State Stochastic Model of In Vivo Observations of Transcriptional Bursts. Brazilian Journal of Physics. 55(4). 150–150.
2.
Yvinec, Romain, et al.. (2024). A Lifshitz–Slyozov type model for adipocyte size dynamics: limit from Becker–Döring system and numerical simulation. Journal of Mathematical Biology. 88(2). 16–16.
3.
Clément, Frédérique, et al.. (2024). Nonlinear compartmental modeling to monitor ovarian follicle population dynamics on the whole lifespan. Journal of Mathematical Biology. 89(1). 9–9. 4 indexed citations
4.
Yvinec, Romain, et al.. (2024). Mathematical modeling of adipocyte size distributions: Identifiability and parameter estimation from rat data. Journal of Theoretical Biology. 581. 111747–111747. 1 indexed citations
5.
Clément, Frédérique, et al.. (2022). An overview of deep learning applications in precocious puberty and thyroid dysfunction. Frontiers in Endocrinology. 13. 959546–959546. 4 indexed citations
6.
Clément, Frédérique, et al.. (2022). Averaging of a Stochastic Slow-Fast Model for Population Dynamics: Application to the Development of Ovarian Follicles. SIAM Journal on Applied Mathematics. 82(1). 359–380. 3 indexed citations
7.
Clément, Frédérique, et al.. (2021). Stochastic nonlinear model for somatic cell population dynamics during ovarian follicle activation. Journal of Mathematical Biology. 82(3). 12–12. 4 indexed citations
8.
Clément, Frédérique, et al.. (2020). Multiscale population dynamics in reproductive biology: singular perturbation reduction in deterministic and stochastic models. SHILAP Revista de lepidopterología. 5 indexed citations
9.
Yvinec, Romain, et al.. (2020). Quasi-stationary distribution and metastability for the stochastic\n Becker-D\\"oring model. arXiv (Cornell University). 2 indexed citations
10.
Clément, Frédérique, Pascale Crépieux, Romain Yvinec, & Danielle Monniaux. (2020). Mathematical modeling approaches of cellular endocrinology within the hypothalamo-pituitary-gonadal axis. Molecular and Cellular Endocrinology. 518. 110877–110877. 13 indexed citations
11.
Landomiel, Flavie, Francesco De Pascali, Frédéric Jean‐Alphonse, et al.. (2019). Biased Signaling and Allosteric Modulation at the FSHR. Frontiers in Endocrinology. 10. 148–148. 27 indexed citations
12.
Yvinec, Romain, Mohammed Akli Ayoub, Francesco De Pascali, et al.. (2019). Workflow Description to Dynamically Model β-Arrestin Signaling Networks. Methods in molecular biology. 1957. 195–215.
13.
Pascali, Francesco De, Flavie Landomiel, Véronique Bozon, et al.. (2018). Follicle-Stimulating Hormone Receptor: Advances and Remaining Challenges. International review of cell and molecular biology. 338. 1–58. 20 indexed citations
14.
Reiter, Éric, Mohammed Akli Ayoub, Lucie P. Pellissier, et al.. (2017). β-arrestin signalling and bias in hormone-responsive GPCRs. Molecular and Cellular Endocrinology. 449. 28–41. 33 indexed citations
15.
Ayoub, Mohammed Akli, Romain Yvinec, James A. Dias, et al.. (2016). Profiling of FSHR negative allosteric modulators on LH/CGR reveals biased antagonism with implications in steroidogenesis. Molecular and Cellular Endocrinology. 436. 10–22. 29 indexed citations
16.
Ayoub, Mohammed Akli, Romain Yvinec, Pascale Crépieux, & Anne Poupon. (2016). Computational modeling approaches in gonadotropin signaling. Theriogenology. 86(1). 22–31. 3 indexed citations
17.
Riccetti, Laura, Romain Yvinec, Nathalie Gallay, et al.. (2016). Human luteinizing hormone (hLH) and chorionic gonadotropin (hCG) display biased agonism at the LH/CG receptor. Endocrine Abstracts. 1 indexed citations
18.
Yvinec, Romain, et al.. (2016). StoBeDo: Simulation of the Stochastic Becker-Döring Equations. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
19.
Yvinec, Romain, Changjing Zhuge, Jinzhi Lei, & Michael C. Mackey. (2013). Adiabatic reduction of a model of stochastic gene expression with jump Markov process. Journal of Mathematical Biology. 68(5). 1051–1070. 12 indexed citations
20.
Mackey, Michael C., Marta Tyran‐Kamińska, & Romain Yvinec. (2011). Molecular distributions in gene regulatory dynamics. Journal of Theoretical Biology. 274(1). 84–96. 28 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Cui-Ping Cheng Breakdown of academic impact, for papers by Flavie Landomiel Breakdown of academic impact, for papers by Clara Lazzaretti Breakdown of academic impact, for papers by Seiji Watanabe Breakdown of academic impact, for papers by Gabriel Stölting Breakdown of academic impact, for papers by Gail Sievert Breakdown of academic impact, for papers by Tomoaki Sano Breakdown of academic impact, for papers by Yingju Li Breakdown of academic impact, for papers by Ronen E. Mukamel Breakdown of academic impact, for papers by Bao Tran Nguyen
Rankless by CCL
2026