Emilie Mugniery

659 total citations
8 papers, 496 citations indexed

About

Emilie Mugniery is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Emilie Mugniery has authored 8 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Oncology. Recurrent topics in Emilie Mugniery's work include Fibroblast Growth Factor Research (6 papers), Connective tissue disorders research (5 papers) and Cancer-related gene regulation (2 papers). Emilie Mugniery is often cited by papers focused on Fibroblast Growth Factor Research (6 papers), Connective tissue disorders research (5 papers) and Cancer-related gene regulation (2 papers). Emilie Mugniery collaborates with scholars based in France, United States and Germany. Emilie Mugniery's co-authors include Laurence Legeai‐Mallet, Catherine Benoist-Lasselin, Arnold Münnich, Nabil Kaci, Federico Di Rocco, Gabriela O. Bodea, Soline Chanet, Sandra Blaess, Anna Kabanova and Alexandra L. Joyner and has published in prestigious journals such as Development, The American Journal of Human Genetics and Human Molecular Genetics.

In The Last Decade

Emilie Mugniery

8 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emilie Mugniery France 8 343 232 61 59 47 8 496
Scott Foster United States 11 158 0.5× 48 0.2× 48 0.8× 122 2.1× 93 2.0× 11 440
Shuyue Ren United States 13 380 1.1× 84 0.4× 90 1.5× 22 0.4× 43 0.9× 27 577
Hiram Chipperfield United States 9 513 1.5× 105 0.5× 40 0.7× 61 1.0× 42 0.9× 10 640
Erika Yeh Brazil 12 267 0.8× 213 0.9× 23 0.4× 38 0.6× 11 0.2× 17 442
Chaomei Xiang United States 11 369 1.1× 64 0.3× 21 0.3× 32 0.5× 40 0.9× 15 538
Deepak Kamnasaran Canada 13 379 1.1× 214 0.9× 51 0.8× 30 0.5× 52 1.1× 31 600
Mélanie J. Chagnon Canada 8 445 1.3× 45 0.2× 160 2.6× 124 2.1× 45 1.0× 8 595
Sarah S. Subaran United States 11 541 1.6× 113 0.5× 21 0.3× 46 0.8× 13 0.3× 12 746
Stéphanie Backman Canada 6 581 1.7× 75 0.3× 69 1.1× 58 1.0× 33 0.7× 7 707
Annabel Christ Germany 14 321 0.9× 101 0.4× 71 1.2× 97 1.6× 66 1.4× 18 556

Countries citing papers authored by Emilie Mugniery

Since Specialization
Citations

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

Fields of papers citing papers by Emilie Mugniery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emilie Mugniery

This figure shows the co-authorship network connecting the top 25 collaborators of Emilie Mugniery. A scholar is included among the top collaborators of Emilie Mugniery 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 Emilie Mugniery. Emilie Mugniery 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.
Rocco, Federico Di, Martin Biosse Duplan, Yann Heuzé, et al.. (2014). FGFR3 mutation causes abnormal membranous ossification in achondroplasia. Human Molecular Genetics. 23(11). 2914–2925. 63 indexed citations
2.
Recher, Gaëlle, Alessandro Brombin, Aurélie Heuzé, et al.. (2013). Zebrafish midbrain slow-amplifying progenitors exhibit high levels of transcripts for nucleotide and ribosome biogenesis. Development. 140(24). 4860–4869. 39 indexed citations
3.
Lorget, Florence, Nabil Kaci, Jeff Peng, et al.. (2012). Evaluation of the Therapeutic Potential of a CNP Analog in a Fgfr3 Mouse Model Recapitulating Achondroplasia. The American Journal of Human Genetics. 91(6). 1108–1114. 140 indexed citations
4.
Mugniery, Emilie, Romain Dacquin, Caroline Marty, et al.. (2012). An activating Fgfr3 mutation affects trabecular bone formation via a paracrine mechanism during growth. Human Molecular Genetics. 21(11). 2503–2513. 38 indexed citations
5.
Mugniery, Emilie, Catherine Benoist-Lasselin, Nabil Kaci, et al.. (2011). A novel tyrosine kinase inhibitor restores chondrocyte differentiation and promotes bone growth in a gain-of-function Fgfr3 mouse model. Human Molecular Genetics. 21(4). 841–851. 39 indexed citations
6.
Blaess, Sandra, Gabriela O. Bodea, Anna Kabanova, et al.. (2011). Temporal-spatial changes in Sonic Hedgehog expression and signaling reveal different potentials of ventral mesencephalic progenitors to populate distinct ventral midbrain nuclei. Neural Development. 6(1). 29–29. 104 indexed citations
7.
Pannier, Stéphanie, Emilie Mugniery, Catherine Benoist-Lasselin, et al.. (2010). Delayed bone age due to a dual effect of FGFR3 mutation in Achondroplasia. Bone. 47(5). 905–915. 24 indexed citations
8.
Corre, Laurent Le, Anne‐Lise Girard, François Radvanyi, et al.. (2010). Synthesis and biological evaluation of a triazole-based library of pyrido[2,3-d]pyrimidines as FGFR3 tyrosine kinase inhibitors. Organic & Biomolecular Chemistry. 8(9). 2164–2164. 49 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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