Gabriel Leprivier

3.0k total citations
35 papers, 1.5k citations indexed

About

Gabriel Leprivier is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Gabriel Leprivier has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 18 papers in Cancer Research and 8 papers in Oncology. Recurrent topics in Gabriel Leprivier's work include Cancer, Hypoxia, and Metabolism (11 papers), PI3K/AKT/mTOR signaling in cancer (7 papers) and RNA Research and Splicing (7 papers). Gabriel Leprivier is often cited by papers focused on Cancer, Hypoxia, and Metabolism (11 papers), PI3K/AKT/mTOR signaling in cancer (7 papers) and RNA Research and Splicing (7 papers). Gabriel Leprivier collaborates with scholars based in Germany, Canada and Israel. Gabriel Leprivier's co-authors include Barak Rotblat, Poul H. Sorensen, Jonathan Lim, Thomas G. P. Grünewald, Silvia von Karstedt, Alberto Delaidelli, Gian Luca Negri, Debjit Khan, William W. Lockwood and Milena Čolović 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

Gabriel Leprivier

35 papers receiving 1.5k citations

Peers

Gabriel Leprivier
Shuo Qie United States
Lingtao Jin United States
Loredana Moro Italy
Lynn Kirkpatrick United States
Sharanya Sivanand United States
Jérôme Durivault France
Naiara Santana-Codina United States
Edward L. LaGory United States
Dana Napier United States
Oona Delpuech United Kingdom
Shuo Qie United States
Gabriel Leprivier
Citations per year, relative to Gabriel Leprivier Gabriel Leprivier (= 1×) peers Shuo Qie

Countries citing papers authored by Gabriel Leprivier

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Leprivier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Leprivier

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Leprivier. A scholar is included among the top collaborators of Gabriel Leprivier 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 Gabriel Leprivier. Gabriel Leprivier 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.
Picard, Daniel, Martin F. Orth, Marc Remke, et al.. (2022). EIF4EBP1 is transcriptionally upregulated by MYCN and associates with poor prognosis in neuroblastoma. Cell Death Discovery. 8(1). 157–157. 6 indexed citations
2.
Picard, Daniel, Julian Musa, Marc Remke, et al.. (2022). Eukaryotic translation initiation factor 4E binding protein 1 (EIF4EBP1) expression in glioblastoma is driven by ETS1- and MYBL2-dependent transcriptional activation. Cell Death Discovery. 8(1). 91–91. 10 indexed citations
3.
Müller, Fabienne, Jonathan Lim, Christina M. Bebber, et al.. (2022). Elevated FSP1 protects KRAS-mutated cells from ferroptosis during tumor initiation. Cell Death and Differentiation. 30(2). 442–456. 91 indexed citations
4.
Leprivier, Gabriel & Barak Rotblat. (2020). How does mTOR sense glucose starvation? AMPK is the usual suspect. Cell Death Discovery. 6(1). 27–27. 70 indexed citations
5.
Levin, Liron, et al.. (2020). 4EBP1/2 are active under standard cell culture conditions to regulate the translation of specific mRNAs. Cell Death and Disease. 11(11). 968–968. 3 indexed citations
6.
Levin, Liron, Daniel Picard, Ulvi Ahmadov, et al.. (2019). The lncRNA TP73-AS1 is linked to aggressiveness in glioblastoma and promotes temozolomide resistance in glioblastoma cancer stem cells. Cell Death and Disease. 10(3). 246–246. 133 indexed citations
7.
Lim, Jonathan & Gabriel Leprivier. (2019). The impact of oncogenic RAS on redox balance and implications for cancer development. Cell Death and Disease. 10(12). 955–955. 76 indexed citations
8.
9.
Leprivier, Gabriel, et al.. (2018). Puromycin labeling does not allow protein synthesis to be measured in energy-starved cells. Cell Death and Disease. 9(2). 39–39. 23 indexed citations
10.
Delaidelli, Alberto, Gian Luca Negri, Asad Jan, et al.. (2017). MYCN amplified neuroblastoma requires the mRNA translation regulator eEF2 kinase to adapt to nutrient deprivation. Cell Death and Differentiation. 24(9). 1564–1576. 20 indexed citations
11.
Musa, Julian, Martin F. Orth, Marlene Dallmayer, et al.. (2016). Eukaryotic initiation factor 4E-binding protein 1 (4E-BP1): a master regulator of mRNA translation involved in tumorigenesis. Oncogene. 35(36). 4675–4688. 127 indexed citations
12.
Delaidelli, Alberto, et al.. (2016). OS5 - 173 Inhibition of eEF2K as a Novel Therapeutic Strategy in Neuroblastoma and Medulloblastoma. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 43(S4). S3–S3. 2 indexed citations
13.
Leprivier, Gabriel, Barak Rotblat, Debjit Khan, Eric Jan, & Poul H. Sorensen. (2014). Stress-mediated translational control in cancer cells. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1849(7). 845–860. 98 indexed citations
14.
Somasekharan, Syam Prakash, Nikolay Stoynov, Barak Rotblat, et al.. (2012). Identification and quantification of newly synthesized proteins translationally regulated by YB-1 using a novel Click–SILAC approach. Journal of Proteomics. 77. e1–e10. 34 indexed citations
15.
Rotblat, Barak, Gabriel Leprivier, & Poul H. Sorensen. (2011). A possible role for long non-coding RNA in modulating signaling pathways. Medical Hypotheses. 77(6). 962–965. 13 indexed citations
16.
Leprivier, Gabriel, Alessandra Rufini, Ana J. García-Sáez, Christoph Borner, & Barak Rotblat. (2011). 7th Tuscany Retreat on Cancer Research: Genetic profiling, resistance mechanism and novel treatment concepts in cancer. Cell Death and Differentiation. 19(3). 546–548. 1 indexed citations
17.
Leprivier, Gabriel, Connie Chow, Matthew J. Martin, et al.. (2011). The AMPK stress response pathway mediates anoikis resistance through inhibition of mTOR and suppression of protein synthesis. Cell Death and Differentiation. 19(3). 501–510. 100 indexed citations
18.
Laitem, Clélia, Gabriel Leprivier, Agnès Bégué, et al.. (2009). Ets-1 p27: a novel Ets-1 isoform with dominant-negative effects on the transcriptional properties and the subcellular localization of Ets-1 p51. Oncogene. 28(20). 2087–2099. 39 indexed citations
19.
Baillat, David, et al.. (2008). Ets-1 binds cooperatively to the palindromic Ets-binding sites in the p53 promoter. Biochemical and Biophysical Research Communications. 378(2). 213–217. 29 indexed citations
20.
Baillat, David, Gabriel Leprivier, Daniel Régnier, et al.. (2006). Stromelysin-1 expression is activated in vivo by Ets-1 through palindromic head-to-head Ets binding sites present in the promoter. Oncogene. 25(42). 5764–5776. 26 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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