Virginie Mieulet

3.4k total citations · 1 hit paper
17 papers, 2.6k citations indexed

About

Virginie Mieulet is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Virginie Mieulet has authored 17 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Virginie Mieulet's work include PI3K/AKT/mTOR signaling in cancer (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Melanoma and MAPK Pathways (2 papers). Virginie Mieulet is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Melanoma and MAPK Pathways (2 papers). Virginie Mieulet collaborates with scholars based in France, Canada and United Kingdom. Virginie Mieulet's co-authors include Mario Pende, Fatima Mechta‐Grigoriou, Géraldine Gentric, Richard F. Lamb, Jürgen Mestan, Stefano Fumagalli, Sung Hee Um, Valerie L. Goss, George Thomas and Matthias Mueller and has published in prestigious journals such as Nature Communications, The EMBO Journal and Molecular Cell.

In The Last Decade

Virginie Mieulet

17 papers receiving 2.6k citations

Hit Papers

S6K1 −/− / S6K2 −/− Mice Exhibit Perinatal Lethality and ... 2004 2026 2011 2018 2004 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. S6K1 −/− / S6K2 −/− Mice Exhibit Perinatal Lethality and Rapamycin-Sensitive 5′-Terminal Oligopyrimidine mRNA Translation and Reveal a Mitogen-Activated Protein Kinase-Dependent S6 Kinase Pathway
    2004 623 citations Mario Pende, Sung Hee Um et al. Molecular and Cellular Biology profile →

Peers

Virginie Mieulet
Valerie Christiaens Belgium
Chun Cheng China
Fred E. Indig United States
Giovanni Perini Italy
Christine C. Hudson United States
Qingyuan Ge United States
David Shahbazian United States
John Easton United States
Barak Rotblat Israel
Mickaël Ohanna France
Valerie Christiaens Belgium
Virginie Mieulet
Citations per year, relative to Virginie Mieulet Virginie Mieulet (= 1×) peers Valerie Christiaens

Countries citing papers authored by Virginie Mieulet

Since Specialization
Citations

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

Fields of papers citing papers by Virginie Mieulet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginie Mieulet

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

All Works

17 of 17 papers shown
1.
Dayot, Stéphane, Alexandre Houy, Sylvain Martineau, et al.. (2022). Glycolysis Dependency as a Hallmark of SF3B1-Mutated Cells. Cancers. 14(9). 2113–2113. 8 indexed citations
2.
Mieulet, Virginie, Yann Kieffer, Thomas Guilbert, et al.. (2021). Stiffness increases with myofibroblast content and collagen density in mesenchymal high grade serous ovarian cancer. Scientific Reports. 11(1). 4219–4219. 53 indexed citations
3.
Kieffer, Yann, Alix Scholer‐Dahirel, Philémon Sirven, et al.. (2018). miR200-regulated CXCL12β promotes fibroblast heterogeneity and immunosuppression in ovarian cancers. Nature Communications. 9(1). 1056–1056. 208 indexed citations
4.
Gentric, Géraldine, Yann Kieffer, Virginie Mieulet, et al.. (2018). PML-Regulated Mitochondrial Metabolism Enhances Chemosensitivity in Human Ovarian Cancers. Cell Metabolism. 29(1). 156–173.e10. 197 indexed citations
5.
Gruosso, Tina, Virginie Mieulet, Mélissa Cardon, et al.. (2016). Chronic oxidative stress promotes H2 AX protein degradation and enhances chemosensitivity in breast cancer patients. EMBO Molecular Medicine. 8(5). 527–549. 126 indexed citations
6.
Gentric, Géraldine, Virginie Mieulet, & Fatima Mechta‐Grigoriou. (2016). Heterogeneity in Cancer Metabolism: New Concepts in an Old Field. Antioxidants and Redox Signaling. 26(9). 462–485. 170 indexed citations
7.
Gruosso, Tina, Yann Kieffer, Dorine Bellanger, et al.. (2015). MAP3K8/TPL-2/COT is a potential predictive marker for MEK inhibitor treatment in high-grade serous ovarian carcinomas. Nature Communications. 6(1). 8583–8583. 38 indexed citations
8.
Chauvin, Camille, Virginie Mieulet, Coralie Hoareau‐Aveilla, et al.. (2013). Ribosomal protein S6 kinase activity controls the ribosome biogenesis transcriptional program. Oncogene. 33(4). 474–483. 227 indexed citations
9.
Yan, Lijun, Virginie Mieulet, Darren J. Burgess, et al.. (2010). PP2AT61ɛ Is an Inhibitor of MAP4K3 in Nutrient Signaling to mTOR. Molecular Cell. 37(5). 633–642. 95 indexed citations
10.
Mieulet, Virginie & Richard F. Lamb. (2010). Tuberous sclerosis complex: linking cancer to metabolism. Trends in Molecular Medicine. 16(7). 329–335. 35 indexed citations
11.
Mieulet, Virginie, Lijun Yan, Caroline Choisy, et al.. (2010). TPL-2–Mediated Activation of MAPK Downstream of TLR4 Signaling Is Coupled to Arginine Availability. Science Signaling. 3(135). ra61–ra61. 41 indexed citations
12.
Mieulet, Virginie & Richard F. Lamb. (2008). Shooting the Messenger: CULLIN' Insulin Signaling with Fbw8. Developmental Cell. 14(6). 816–817. 3 indexed citations
13.
Mieulet, Virginie, Mila Roceri, Athanassia Sotiropoulos, et al.. (2007). S6 kinase inactivation impairs growth and translational target phosphorylation in muscle cells maintaining proper regulation of protein turnover. American Journal of Physiology-Cell Physiology. 293(2). C712–C722. 78 indexed citations
14.
Findlay, Greg M., Lijun Yan, Julia Procter, Virginie Mieulet, & Richard F. Lamb. (2007). A MAP4 kinase related to Ste20 is a nutrient-sensitive regulator of mTOR signalling. Biochemical Journal. 403(1). 13–20. 195 indexed citations
15.
Shahbazian, David, Philippe P. Roux, Virginie Mieulet, et al.. (2006). The mTOR/PI3K and MAPK pathways converge on eIF4B to control its phosphorylation and activity. The EMBO Journal. 25(12). 2781–2791. 403 indexed citations
16.
Pende, Mario, Sung Hee Um, Virginie Mieulet, et al.. (2004). S6K1 −/− / S6K2 −/− Mice Exhibit Perinatal Lethality and Rapamycin-Sensitive 5′-Terminal Oligopyrimidine mRNA Translation and Reveal a Mitogen-Activated Protein Kinase-Dependent S6 Kinase Pathway. Molecular and Cellular Biology. 24(8). 3112–3124. 623 indexed citations breakdown →
17.
Guillet-Deniau, Isabelle, Virginie Mieulet, Soazig Le Lay, et al.. (2002). Sterol Regulatory Element Binding Protein-1c Expression and Action in Rat Muscles: Insulin-Like Effects on the Control of Glycolytic and Lipogenic Enzymes and UCP3 Gene Expression. Diabetes. 51(6). 1722–1728. 103 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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