Fernande Freyermuth

2.1k total citations · 1 hit paper
7 papers, 953 citations indexed

About

Fernande Freyermuth is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Fernande Freyermuth has authored 7 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Neurology. Recurrent topics in Fernande Freyermuth's work include RNA Research and Splicing (5 papers), Genetic Neurodegenerative Diseases (3 papers) and Cardiomyopathy and Myosin Studies (2 papers). Fernande Freyermuth is often cited by papers focused on RNA Research and Splicing (5 papers), Genetic Neurodegenerative Diseases (3 papers) and Cardiomyopathy and Myosin Studies (2 papers). Fernande Freyermuth collaborates with scholars based in United States, France and Japan. Fernande Freyermuth's co-authors include Nicolas Charlet‐Berguerand, Clotilde Lagier‐Tourenne, Ricardos Tabet, Michael W. Baughn, Kevin Drenner, Moira A. McMahon, C. Frank Bennett, Ouyang Zhang, Melinda S. Beccari and Jone López‐Erauskin and has published in prestigious journals such as Nature Communications, Nature Neuroscience and Nature Structural & Molecular Biology.

In The Last Decade

Fernande Freyermuth

7 papers receiving 946 citations

Hit Papers

Premature polyadenylation-mediated loss of stathmin-2 is ... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernande Freyermuth United States 7 747 335 308 257 157 7 953
Warunee Dansithong United States 19 1.0k 1.4× 218 0.7× 732 2.4× 111 0.4× 82 0.5× 35 1.2k
Sharan Paul United States 19 1.0k 1.3× 220 0.7× 688 2.2× 104 0.4× 81 0.5× 37 1.2k
S. H. Subramony United States 15 647 0.9× 574 1.7× 469 1.5× 268 1.0× 87 0.6× 32 1.0k
Ricardos Tabet France 8 801 1.1× 167 0.5× 182 0.6× 134 0.5× 251 1.6× 9 930
Frédérique Rau France 7 854 1.1× 112 0.3× 303 1.0× 73 0.3× 185 1.2× 8 951
Jackson Sandoe United States 6 572 0.8× 388 1.2× 221 0.7× 259 1.0× 71 0.5× 6 933
Jingyuan Cao China 9 567 0.8× 143 0.4× 220 0.7× 108 0.4× 61 0.4× 12 755
Tammy Reid United States 9 745 1.0× 714 2.1× 425 1.4× 421 1.6× 80 0.5× 10 1.2k
Crystal N. Doty Canada 17 1.6k 2.2× 445 1.3× 1.4k 4.5× 130 0.5× 89 0.6× 18 1.9k
Jonathan W. Artates United States 4 639 0.9× 197 0.6× 430 1.4× 106 0.4× 62 0.4× 5 754

Countries citing papers authored by Fernande Freyermuth

Since Specialization
Citations

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

Fields of papers citing papers by Fernande Freyermuth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernande Freyermuth

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

All Works

7 of 7 papers shown
1.
Melamed, Ze’ev, Jone López‐Erauskin, Michael W. Baughn, et al.. (2019). Premature polyadenylation-mediated loss of stathmin-2 is a hallmark of TDP-43-dependent neurodegeneration. Nature Neuroscience. 22(2). 180–190. 339 indexed citations breakdown →
2.
Sellier, Chantal, Estefanía Cerro-Herreros, Markus Blatter, et al.. (2018). rbFOX1/MBNL1 competition for CCUG RNA repeats binding contributes to myotonic dystrophy type 1/type 2 differences. Nature Communications. 9(1). 2009–2009. 57 indexed citations
3.
Tabet, Ricardos, Laure Schaeffer, Fernande Freyermuth, et al.. (2018). CUG initiation and frameshifting enable production of dipeptide repeat proteins from ALS/FTD C9ORF72 transcripts. Nature Communications. 9(1). 152–152. 100 indexed citations
4.
Konersman, Chamindra G., Fernande Freyermuth, Thomas Winder, et al.. (2017). Novel autosomal dominant TNNT1 mutation causing nemaline myopathy. Molecular Genetics & Genomic Medicine. 5(6). 678–691. 23 indexed citations
5.
Ghanem, Dana, Francisco-José Fernández-Gómez, Fanny Jumeau, et al.. (2014). Tau exon 2 responsive elements deregulated in myotonic dystrophy type I are proximal to exon 2 and synergistically regulated by MBNL1 and MBNL2. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1842(4). 654–664. 26 indexed citations
6.
Sellier, Chantal, Fernande Freyermuth, Ricardos Tabet, et al.. (2013). Sequestration of DROSHA and DGCR8 by Expanded CGG RNA Repeats Alters MicroRNA Processing in Fragile X-Associated Tremor/Ataxia Syndrome. Cell Reports. 3(3). 869–880. 189 indexed citations
7.
Rau, Frédérique, Fernande Freyermuth, Jean-Philippe Villemin, et al.. (2011). Misregulation of miR-1 processing is associated with heart defects in myotonic dystrophy. Nature Structural & Molecular Biology. 18(7). 840–845. 219 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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