Anne Cammas

1.5k total citations
24 papers, 1.1k citations indexed

About

Anne Cammas is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Anne Cammas has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 2 papers in Genetics. Recurrent topics in Anne Cammas's work include RNA Research and Splicing (14 papers), RNA and protein synthesis mechanisms (12 papers) and RNA modifications and cancer (10 papers). Anne Cammas is often cited by papers focused on RNA Research and Splicing (14 papers), RNA and protein synthesis mechanisms (12 papers) and RNA modifications and cancer (10 papers). Anne Cammas collaborates with scholars based in France, Italy and Canada. Anne Cammas's co-authors include Stefania Millevoi, Stéphan Vagner, Erik Dassi, Pauline Herviou, Stephen M. Lewis, Martin Holčı́k, Nicolas Lévêque, Frédéric Pileur, Sophie Bonnal and Xian Jin Lian and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Anne Cammas

24 papers receiving 1.1k citations

Peers

Anne Cammas
Raymond J. Peroutka United States
Andrew Siwkowski United States
Jason Borawski United States
Romi Gupta United States
Ira Lemm Germany
Raymond J. Peroutka United States
Anne Cammas
Citations per year, relative to Anne Cammas Anne Cammas (= 1×) peers Raymond J. Peroutka

Countries citing papers authored by Anne Cammas

Since Specialization
Citations

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

Fields of papers citing papers by Anne Cammas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Cammas

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Cammas. A scholar is included among the top collaborators of Anne Cammas 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 Anne Cammas. Anne Cammas 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.
Cargnello, Marie, Pauline Herviou, Nathalie Saint‐Laurent, et al.. (2025). RNA G-quadruplexes control mitochondria-localized mRNA translation and energy metabolism. Nature Communications. 16(1). 3292–3292. 1 indexed citations
2.
Herviou, Pauline, Eliana Destefanis, Andrea Zen, et al.. (2022). QUADRatlas: the RNA G-quadruplex and RG4-binding proteins database. Nucleic Acids Research. 51(D1). D240–D247. 24 indexed citations
3.
Cammas, Anne, et al.. (2021). Analysis of mRNA Translation by Polysome Profiling. Methods in molecular biology. 2404. 69–81. 1 indexed citations
4.
Herviou, Pauline, et al.. (2020). G-Quadruplexes in RNA Biology: Recent Advances and Future Directions. Trends in Biochemical Sciences. 46(4). 270–283. 126 indexed citations
5.
Herviou, Pauline, Morgane Le Bras, Corinne Hiéblot, et al.. (2020). hnRNP H/F drive RNA G-quadruplex-mediated translation linked to genomic instability and therapy resistance in glioblastoma. Nature Communications. 11(1). 2661–2661. 75 indexed citations
6.
Sesen, Julie, Julia Gilhodes, Solène Evrard, et al.. (2020). Translation reprogramming by eIF3 linked to glioblastoma resistance. NAR Cancer. 2(3). zcaa020–zcaa020. 9 indexed citations
7.
Jennifer, F., Xian Jin Lian, Brenda Janice Sánchez, et al.. (2019). HuR counteracts miR-330 to promote STAT3 translation during inflammation-induced muscle wasting. Proceedings of the National Academy of Sciences. 116(35). 17261–17270. 38 indexed citations
8.
Franchini, Don‐Marc, Olivia Lanvin, Marie Tosolini, et al.. (2019). Microtubule-Driven Stress Granule Dynamics Regulate Inhibitory Immune Checkpoint Expression in T Cells. Cell Reports. 26(1). 94–107.e7. 39 indexed citations
9.
Cammas, Anne & Stefania Millevoi. (2016). RNA G-quadruplexes: emerging mechanisms in disease. Nucleic Acids Research. 45(4). gkw1280–gkw1280. 176 indexed citations
10.
Bras, Morgane Le, Nicolas Skuli, Sébastien Britton, et al.. (2016). A novel cytoprotective function for the DNA repair protein Ku in regulating p53 mRNA translation and function. EMBO Reports. 17(4). 508–518. 25 indexed citations
11.
Cammas, Anne, Alexandre Dubrac, Christian Touriol, et al.. (2015). Stabilization of the G-quadruplex at the VEGF IRES represses cap-independent translation. RNA Biology. 12(3). 320–329. 60 indexed citations
12.
Cammas, Anne, Brenda Janice Sánchez, Xian Jin Lian, et al.. (2014). Destabilization of nucleophosmin mRNA by the HuR/KSRP complex is required for muscle fibre formation. Nature Communications. 5(1). 4190–4190. 57 indexed citations
13.
Sesen, Julie, Anne Cammas, Sarah Scotland, et al.. (2014). Int6/eIF3e Is Essential for Proliferation and Survival of Human Glioblastoma Cells. International Journal of Molecular Sciences. 15(2). 2172–2190. 31 indexed citations
14.
Dormoy-Raclet, Virginie, Anne Cammas, Barbara Celona, et al.. (2013). HuR and miR-1192 regulate myogenesis by modulating the translation of HMGB1 mRNA. Nature Communications. 4(1). 2388–2388. 69 indexed citations
15.
Marco, Sergio Di, Anne Cammas, Xian Jin Lian, et al.. (2012). The translation inhibitor pateamine A prevents cachexia-induced muscle wasting in mice. Nature Communications. 3(1). 896–896. 53 indexed citations
16.
Bergé, Yann, Ben Allal, Thomas Filleron, et al.. (2011). Formation of the eIF4F Translation–Initiation Complex Determines Sensitivity to Anticancer Drugs Targeting the EGFR and HER2 Receptors. Cancer Research. 71(12). 4068–4073. 45 indexed citations
17.
Durand, Tony, Gaétana Di Liberto, Hélène Loe Colman, et al.. (2010). Occult infection of peripheral B cells by hepatitis C variants which have low translational efficiency in cultured hepatocytes. Gut. 59(7). 934–942. 34 indexed citations
18.
Mackiewicz, Vincent, Anne Cammas, Delphine Desbois, et al.. (2010). Nucleotide Variability and Translation Efficiency of the 5′ Untranslated Region of Hepatitis A Virus: Update from Clinical Isolates Associated with Mild and Severe Hepatitis. Journal of Virology. 84(19). 10139–10147. 13 indexed citations
19.
Girard, Cyrille, Céline Verheggen, H. Bryan Neel, et al.. (2007). Characterization of a Short Isoform of Human Tgs1 Hypermethylase Associating with Small Nucleolar Ribonucleoprotein Core Proteins and Produced by Limited Proteolytic Processing. Journal of Biological Chemistry. 283(4). 2060–2069. 38 indexed citations
20.
Cammas, Anne, Frédéric Pileur, Sophie Bonnal, et al.. (2007). Cytoplasmic Relocalization of Heterogeneous Nuclear Ribonucleoprotein A1 Controls Translation Initiation of Specific mRNAs. Molecular Biology of the Cell. 18(12). 5048–5059. 125 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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