Anne Beugnet

2.6k total citations · 1 hit paper
19 papers, 2.0k citations indexed

About

Anne Beugnet is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Anne Beugnet has authored 19 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Immunology. Recurrent topics in Anne Beugnet's work include Monoclonal and Polyclonal Antibodies Research (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Anne Beugnet is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Anne Beugnet collaborates with scholars based in Italy, France and Slovenia. Anne Beugnet's co-authors include Christopher G. Proud, Stefano Biffo, Xuemin Wang, Elisa Pesce, Peter M. Taylor, Andrew R. Tee, Annarita Miluzio, Stefania Fedele, Claudio Santoro and Claudia Carrieri and has published in prestigious journals such as Nature, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Anne Beugnet

18 papers receiving 2.0k citations

Hit Papers

Long non-coding antisense RNA controls Uchl1 translation ... 2012 2026 2016 2021 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne Beugnet Italy 15 1.7k 700 176 151 126 19 2.0k
Andrew Jakymiw United States 20 1.6k 0.9× 687 1.0× 176 1.0× 142 0.9× 94 0.7× 25 1.9k
Ania Wilczynska United Kingdom 26 2.0k 1.2× 602 0.9× 175 1.0× 129 0.9× 182 1.4× 44 2.6k
Keith A. Spriggs United Kingdom 22 2.5k 1.5× 470 0.7× 194 1.1× 190 1.3× 149 1.2× 36 3.0k
Luc Furic Australia 28 2.4k 1.4× 465 0.7× 257 1.5× 158 1.0× 203 1.6× 48 3.0k
Mark Stoneley United Kingdom 23 2.3k 1.4× 337 0.5× 177 1.0× 155 1.0× 147 1.2× 28 2.6k
Antje Ostareck‐Lederer Germany 28 2.4k 1.4× 364 0.5× 247 1.4× 134 0.9× 135 1.1× 41 2.9k
Elliot Drobetsky Canada 26 1.8k 1.0× 498 0.7× 174 1.0× 141 0.9× 204 1.6× 58 2.4k
Yasuhiro Murakawa Japan 23 2.5k 1.4× 559 0.8× 320 1.8× 113 0.7× 154 1.2× 51 3.0k
Shengxi Guan United States 19 1.4k 0.8× 238 0.3× 124 0.7× 159 1.1× 160 1.3× 33 1.8k
Anabella Srebrow Argentina 23 1.6k 0.9× 362 0.5× 163 0.9× 176 1.2× 116 0.9× 32 2.0k

Countries citing papers authored by Anne Beugnet

Since Specialization
Citations

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

Fields of papers citing papers by Anne Beugnet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Beugnet

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

All Works

19 of 19 papers shown
1.
Moutel, Sandrine, Anne Beugnet, Bérangère Lombard, et al.. (2020). Surface LSP-1 Is a Phenotypic Marker Distinguishing Human Classical versus Monocyte-Derived Dendritic Cells. iScience. 23(4). 100987–100987. 7 indexed citations
2.
Veggiani, Gianluca, Anne Beugnet, Christophe Pichon, et al.. (2017). Whole-cell biopanning with a synthetic phage display library of nanobodies enabled the recovery of follicle-stimulating hormone receptor inhibitors. Biochemical and Biophysical Research Communications. 493(4). 1567–1572. 22 indexed citations
3.
Zou, Tao, Anne Beugnet, Lucie Sengmanivong, et al.. (2015). Nanobody-functionalized PEG-b-PCL polymersomes and their targeting study. Journal of Biotechnology. 214. 147–155. 53 indexed citations
4.
Zou, Tao, et al.. (2015). Nanobody-functionalized polymersomes. Journal of Controlled Release. 213. e79–e80. 6 indexed citations
5.
8.
Volta, Viviana, Anne Beugnet, Simone Gallo, et al.. (2012). RACK1 depletion in a mouse model causes lethality, pigmentation deficits and reduction in protein synthesis efficiency. Cellular and Molecular Life Sciences. 70(8). 1439–1450. 64 indexed citations
9.
Carrieri, Claudia, Laura Cimatti, Marta Biagioli, et al.. (2012). Long non-coding antisense RNA controls Uchl1 translation through an embedded SINEB2 repeat. Nature. 491(7424). 454–457. 783 indexed citations breakdown →
10.
Miluzio, Annarita, Anne Beugnet, Stefano Grosso, et al.. (2011). Impairment of Cytoplasmic eIF6 Activity Restricts Lymphomagenesis and Tumor Progression without Affecting Normal Growth. Cancer Cell. 19(6). 765–775. 78 indexed citations
11.
Grosso, Stefano, Elisa Pesce, Daniela Brina, et al.. (2011). Sensitivity of Global Translation to mTOR Inhibition in REN Cells Depends on the Equilibrium between eIF4E and 4E-BP1. PLoS ONE. 6(12). e29136–e29136. 21 indexed citations
12.
Gallo, Simone, Anne Beugnet, & Stefano Biffo. (2010). Tagging of functional ribosomes in living cells by HaloTag® technology. In Vitro Cellular & Developmental Biology - Animal. 47(2). 132–138. 9 indexed citations
13.
Miluzio, Annarita, Anne Beugnet, Viviana Volta, & Stefano Biffo. (2009). Eukaryotic initiation factor 6 mediates a continuum between 60S ribosome biogenesis and translation. EMBO Reports. 10(5). 459–465. 91 indexed citations
14.
Gandin, Valentina, Annarita Miluzio, Anna Maria Barbieri, et al.. (2008). Eukaryotic initiation factor 6 is rate-limiting in translation, growth and transformation. Nature. 455(7213). 684–688. 179 indexed citations
15.
Wang, Xuemin, Anne Beugnet, Mirei Murakami, Shinya Yamanaka, & Christopher G. Proud. (2005). Distinct Signaling Events Downstream of mTOR Cooperate To Mediate the Effects of Amino Acids and Insulin on Initiation Factor 4E-Binding Proteins. Molecular and Cellular Biology. 25(7). 2558–2572. 174 indexed citations
16.
Beugnet, Anne, Xuemin Wang, & Christopher G. Proud. (2003). Target of Rapamycin (TOR)-signaling and RAIP Motifs Play Distinct Roles in the Mammalian TOR-dependent Phosphorylation of Initiation Factor 4E-binding Protein 1. Journal of Biological Chemistry. 278(42). 40717–40722. 99 indexed citations
17.
Wang, Xuemin, Wěi Li, Josep-Lluís Parra, Anne Beugnet, & Christopher G. Proud. (2003). The C Terminus of Initiation Factor 4E-Binding Protein 1 Contains Multiple Regulatory Features That Influence Its Function and Phosphorylation. Molecular and Cellular Biology. 23(5). 1546–1557. 86 indexed citations
18.
Beugnet, Anne, Andrew R. Tee, Peter M. Taylor, & Christopher G. Proud. (2003). Regulation of targets of mTOR (mammalian target of rapamycin) signalling by intracellular amino acid availability. Biochemical Journal. 372(2). 555–566. 245 indexed citations
19.
Wang, Xuemin, Maarten L. Janmaat, Anne Beugnet, F. Paulin, & Christopher G. Proud. (2002). Evidence that the dephosphorylation of Ser535 in the ∊-subunit of eukaryotic initiation factor (eIF) 2B is insufficient for the activation of eIF2B by insulin. Biochemical Journal. 367(2). 475–481. 39 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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