Fanny Pouyet

611 total citations
10 papers, 315 citations indexed

About

Fanny Pouyet is a scholar working on Molecular Biology, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Fanny Pouyet has authored 10 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Genetics and 1 paper in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Fanny Pouyet's work include RNA and protein synthesis mechanisms (5 papers), Evolution and Genetic Dynamics (5 papers) and Genomics and Phylogenetic Studies (4 papers). Fanny Pouyet is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), Evolution and Genetic Dynamics (5 papers) and Genomics and Phylogenetic Studies (4 papers). Fanny Pouyet collaborates with scholars based in France, Switzerland and United States. Fanny Pouyet's co-authors include Laurent Excoffier, Simon Aeschbacher, Dominique Mouchiroud, Marie Sémon, Laurent Duret, Stephan Peischl, Kimberly J. Gilbert, Laurent Guéguen, Nicolas Galtier and Annabelle Haudry and has published in prestigious journals such as Current Biology, Genome biology and Molecular Biology and Evolution.

In The Last Decade

Fanny Pouyet

9 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fanny Pouyet France	6	203	176	49	34	32	10	315
Xiaowen Tian United States	4	268 1.3×	103 0.6×	81 1.7×	25 0.7×	22 0.7×	5	386
Priyanka Nakka United States	6	203 1.0×	83 0.5×	37 0.8×	25 0.7×	19 0.6×	8	309
Eyal Elyashiv United States	6	518 2.6×	222 1.3×	77 1.6×	14 0.4×	31 1.0×	6	623
Bjørn Østman United States	7	130 0.6×	152 0.9×	32 0.7×	24 0.7×	12 0.4×	11	246
A Teufel United States	11	151 0.7×	198 1.1×	61 1.2×	22 0.6×	15 0.5×	22	315
Daniel A. Dalquen United Kingdom	7	169 0.8×	256 1.5×	64 1.3×	64 1.9×	40 1.3×	7	361
Chase Miller United States	9	84 0.4×	164 0.9×	26 0.5×	20 0.6×	13 0.4×	15	321
Inna Povolotskaya Spain	9	213 1.0×	271 1.5×	94 1.9×	37 1.1×	30 0.9×	12	432
Evan Koch United States	9	191 0.9×	81 0.5×	48 1.0×	16 0.5×	11 0.3×	19	259
István Miklós Hungary	6	161 0.8×	281 1.6×	68 1.4×	29 0.9×	39 1.2×	8	377

Countries citing papers authored by Fanny Pouyet

Since Specialization

Citations

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

Fields of papers citing papers by Fanny Pouyet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fanny Pouyet

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Ollivier, Louis, Brian Charlesworth, & Fanny Pouyet. (2025). Beyond recombination: Exploring the impact of meiotic frequency on genome-wide genetic diversity. PLoS Genetics. 21(8). e1011798–e1011798. 1 indexed citations

2.

Agier, Nicolas, Louis Ollivier, Samuel O’Donnell, et al.. (2025). A transient mutational burst occurs during yeast colony development. Molecular Systems Biology. 21(9). 1214–1236.

3.

Qiu, Yi, et al.. (2024). The GC-content at the 5′ ends of human protein-coding genes is undergoing mutational decay. Genome biology. 25(1). 219–219. 7 indexed citations

4.

Gilbert, Kimberly J., Fanny Pouyet, Laurent Excoffier, & Stephan Peischl. (2019). Transition from Background Selection to Associative Overdominance Promotes Diversity in Regions of Low Recombination. Current Biology. 30(1). 101–107.e3. 45 indexed citations

5.

Pouyet, Fanny. (2019). Background selection and biased gene conversion affect more than 95% of the human genome and bias demographic inferences. 1 indexed citations

6.

Pouyet, Fanny, et al.. (2018). Background selection and biased gene conversion affect more than 95% of the human genome and bias demographic inferences. eLife. 7. 85 indexed citations

7.

Pouyet, Fanny, et al.. (2017). Recombination, Meiotic Expression And Human Codon Usage. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

8.

Pouyet, Fanny, Dominique Mouchiroud, Laurent Duret, & Marie Sémon. (2017). Recombination, meiotic expression and human codon usage. eLife. 6. 52 indexed citations

9.

Pouyet, Fanny, Marc Bailly‐Bechet, Dominique Mouchiroud, & Laurent Guéguen. (2016). SENCA: A Multilayered Codon Model to Study the Origins and Dynamics of Codon Usage. Genome Biology and Evolution. 8(8). 2427–2441. 8 indexed citations

10.

Guéguen, Laurent, Sylvain Gaillard, Bastien Boussau, et al.. (2013). Bio++: Efficient Extensible Libraries and Tools for Computational Molecular Evolution. Molecular Biology and Evolution. 30(8). 1745–1750. 115 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