Benjamin Barré

3.5k total citations
30 papers, 1.4k citations indexed

About

Benjamin Barré is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Benjamin Barré has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 12 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Benjamin Barré's work include Cancer-related Molecular Pathways (9 papers), Fungal and yeast genetics research (7 papers) and Cytokine Signaling Pathways and Interactions (5 papers). Benjamin Barré is often cited by papers focused on Cancer-related Molecular Pathways (9 papers), Fungal and yeast genetics research (7 papers) and Cytokine Signaling Pathways and Interactions (5 papers). Benjamin Barré collaborates with scholars based in France, Sweden and United Kingdom. Benjamin Barré's co-authors include Olivier Coqueret, Arnaud Vigneron, Érick Gamelin, Neil D. Perkins, Gianni Liti, Jonas Warringer, Catherine Guette, Ville Mustonen, F. Salinas and Anders Bergström and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Blood.

In The Last Decade

Benjamin Barré

29 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Barré France 20 851 410 219 205 193 30 1.4k
Emmanuel Conseiller France 16 794 0.9× 320 0.8× 74 0.3× 224 1.1× 44 0.2× 19 1.2k
Joshua C. Saldivar United States 17 1.7k 1.9× 520 1.3× 76 0.3× 187 0.9× 81 0.4× 25 2.0k
Teruo Iwasaki Japan 22 820 1.0× 264 0.6× 141 0.6× 311 1.5× 37 0.2× 104 1.7k
Kenta Masuda Japan 25 896 1.1× 278 0.7× 141 0.6× 496 2.4× 30 0.2× 77 1.7k
Haizhong Feng China 26 1.3k 1.5× 293 0.7× 229 1.0× 477 2.3× 21 0.1× 57 1.8k
Wei Gu China 24 1.5k 1.7× 178 0.4× 103 0.5× 198 1.0× 30 0.2× 56 1.8k
Ivan Babić United States 19 874 1.0× 181 0.4× 187 0.9× 278 1.4× 34 0.2× 49 1.2k
Laurent Baricault France 17 1.6k 1.8× 236 0.6× 179 0.8× 96 0.5× 55 0.3× 22 1.9k
Elton Zeqiraj United Kingdom 19 1.1k 1.3× 198 0.5× 139 0.6× 121 0.6× 25 0.1× 27 1.5k
Josep V. Forment United Kingdom 18 1.8k 2.1× 552 1.3× 74 0.3× 225 1.1× 30 0.2× 30 2.1k

Countries citing papers authored by Benjamin Barré

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Barré

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Barré

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Barré. A scholar is included among the top collaborators of Benjamin Barré 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 Benjamin Barré. Benjamin Barré 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.
Chiara, Matteo De, Benjamin Barré, Inigo Barrio‐Hernandez, et al.. (2025). Predicting natural variation in the yeast phenotypic landscape with machine learning. Molecular Systems Biology. 21(11). 1466–1489.
2.
Yue, Jia‐Xing, Matteo De Chiara, Benjamin Barré, et al.. (2022). Telomeres are shorter in wild Saccharomyces cerevisiae isolates than in domesticated ones. Genetics. 223(3). 6 indexed citations
3.
Chiara, Matteo De, Benjamin Barré, Karl Persson, et al.. (2022). Domestication reprogrammed the budding yeast life cycle. Nature Ecology & Evolution. 6(4). 448–460. 44 indexed citations
4.
Barré, Benjamin, Johan Hallin, Jia‐Xing Yue, et al.. (2020). Intragenic repeat expansion in the cell wall protein gene HPF1 controls yeast chronological aging. Genome Research. 30(5). 697–710. 22 indexed citations
5.
Chiara, Matteo De, Anne Friedrich, Benjamin Barré, et al.. (2020). Discordant evolution of mitochondrial and nuclear yeast genomes at population level. BMC Biology. 18(1). 49–49. 36 indexed citations
6.
Vázquez-Garćıa, Ignacio, F. Salinas, Jing Li, et al.. (2017). Clonal Heterogeneity Influences the Fate of New Adaptive Mutations. Cell Reports. 21(3). 732–744. 32 indexed citations
7.
Barré, Benjamin & Neil D. Perkins. (2014). Retraction Notice to: The Skp2 Promoter Integrates Signaling through the NF-κB, p53, and Akt/GSK3β Pathways to Regulate Autophagy and Apoptosis. Molecular Cell. 55(2). 342–342. 2 indexed citations
8.
Bergström, Anders, Jared T. Simpson, F. Salinas, et al.. (2014). A High-Definition View of Functional Genetic Variation from Natural Yeast Genomes. Molecular Biology and Evolution. 31(4). 872–888. 216 indexed citations
9.
Barré, Benjamin, et al.. (2013). pRb/E2F-1-mediated caspase-dependent induction of Noxa amplifies the apoptotic effects of the Bcl-2/Bcl-xL inhibitor ABT-737. Cell Death and Differentiation. 20(5). 755–764. 19 indexed citations
10.
Jonchère, Barbara, et al.. (2013). STAT3 as a new autophagy regulator. PubMed. 2(3). e24353–e24353. 41 indexed citations
11.
Lam, David, Benjamin Barré, Catherine Guette, & Olivier Coqueret. (2013). Circulating miRNAs as new activators of the JAK-STAT3 pathway. PubMed. 2(1). e22996–e22996. 3 indexed citations
12.
Corvaisier, Murielle, Yves Delneste, Laurence Preisser, et al.. (2012). IL-26 Is Overexpressed in Rheumatoid Arthritis and Induces Proinflammatory Cytokine Production and Th17 Cell Generation. PLoS Biology. 10(9). e1001395–e1001395. 137 indexed citations
13.
Campone, Mario, Cécile Couriaud, Morgan Grau, et al.. (2011). c-Myc dependent expression of pro-apoptotic Bim renders HER2-overexpressing breast cancer cells dependent on anti-apoptotic Mcl-1. Molecular Cancer. 10(1). 110–110. 34 indexed citations
14.
Trécesson, Sophie de Carné, Yannis Guillemin, Laurence Preisser, et al.. (2011). Escape from p21-mediated Oncogene-induced Senescence Leads to Cell Dedifferentiation and Dependence on Anti-apoptotic Bcl-xL and MCL1 Proteins. Journal of Biological Chemistry. 286(15). 12825–12838. 44 indexed citations
15.
Bracken, Cameron P., Steven J. Wall, Benjamin Barré, et al.. (2008). Regulation of Cyclin D1 RNA Stability by SNIP1. Cancer Research. 68(18). 7621–7628. 79 indexed citations
16.
Vigneron, Arnaud, et al.. (2006). The Cell Cycle Inhibitor p21 Binds to the myc and cdc25A Promoters upon DNA Damage and Induces Transcriptional Repression. Journal of Biological Chemistry. 281(46). 34742–34750. 56 indexed citations
17.
Barré, Benjamin, Arnaud Vigneron, Neil D. Perkins, et al.. (2006). The STAT3 oncogene as a predictive marker of drug resistance. Trends in Molecular Medicine. 13(1). 4–11. 107 indexed citations
18.
Bienvenu, Frédéric, Benjamin Barré, Sandrine Giraud, Sylvie Avril, & Olivier Coqueret. (2005). Transcriptional Regulation by a DNA-associated Form of Cyclin D1. Molecular Biology of the Cell. 16(4). 1850–1858. 39 indexed citations
19.
Barré, Benjamin, Arnaud Vigneron, & Olivier Coqueret. (2005). The STAT3 Transcription Factor Is a Target for the Myc and Riboblastoma Proteins on the Cdc25A Promoter. Journal of Biological Chemistry. 280(16). 15673–15681. 71 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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