Jérôme Barbier

523 total citations
9 papers, 395 citations indexed

About

Jérôme Barbier is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jérôme Barbier has authored 9 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Oncology. Recurrent topics in Jérôme Barbier's work include RNA Research and Splicing (8 papers), MicroRNA in disease regulation (3 papers) and Molecular Biology Techniques and Applications (3 papers). Jérôme Barbier is often cited by papers focused on RNA Research and Splicing (8 papers), MicroRNA in disease regulation (3 papers) and Molecular Biology Techniques and Applications (3 papers). Jérôme Barbier collaborates with scholars based in France, Japan and Russia. Jérôme Barbier's co-authors include Gabriel Sanchez, Didier Auboeuf, Martin Dutertre, Laurent Corcos, Lise Gratadou, Danielle Bittencourt, Étienne Dardenne, Marie‐Cécile De Cian, Catherine Le Jossic-Corcos and Gwendal Dujardin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Molecular and Cellular Biology.

In The Last Decade

Jérôme Barbier

9 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jérôme Barbier France 8 336 76 47 41 19 9 395
Eric Kusnadi Australia 10 284 0.8× 51 0.7× 77 1.6× 32 0.8× 21 1.1× 12 362
Binny Bhandary United States 9 178 0.5× 85 1.1× 52 1.1× 24 0.6× 19 1.0× 17 285
Laura Andrejka United States 9 280 0.8× 64 0.8× 93 2.0× 54 1.3× 16 0.8× 18 352
Isabelle Kaufmann Switzerland 5 360 1.1× 44 0.6× 20 0.4× 34 0.8× 19 1.0× 6 413
Alexandra C Vítor Portugal 4 399 1.2× 69 0.9× 56 1.2× 41 1.0× 17 0.9× 4 450
Charlène Lemaître France 7 475 1.4× 52 0.7× 52 1.1× 32 0.8× 11 0.6× 8 497
Kendra K. Maaß Germany 7 231 0.7× 111 1.5× 44 0.9× 33 0.8× 15 0.8× 19 307
Zhenhua Zou China 5 373 1.1× 44 0.6× 61 1.3× 18 0.4× 31 1.6× 12 420
Yusuke Tarumoto Japan 10 371 1.1× 46 0.6× 50 1.1× 14 0.3× 34 1.8× 32 468
Caila Ryan United States 9 385 1.1× 51 0.7× 67 1.4× 26 0.6× 36 1.9× 9 456

Countries citing papers authored by Jérôme Barbier

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Barbier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérôme Barbier

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

All Works

9 of 9 papers shown
1.
Bize, Ariane, et al.. (2022). Fate of SARS-CoV-2 coronavirus in wastewater treatment sludge during storage and thermophilic anaerobic digestion. Environmental Research. 214(Pt 4). 114057–114057. 7 indexed citations
2.
Franckhauser, Céline, et al.. (2022). NF90 interacts with components of RISC and modulates association of Ago2 with mRNA. BMC Biology. 20(1). 194–194. 4 indexed citations
3.
Higuchi, Takuma, Jérôme Barbier, Gabriel Sanchez, et al.. (2020). NF90 modulates processing of a subset of human pri-miRNAs. Nucleic Acids Research. 48(12). 6874–6888. 21 indexed citations
4.
Barbier, Jérôme, Xin Chen, Gabriel Sanchez, et al.. (2018). An NF90/NF110-mediated feedback amplification loop regulates dicer expression and controls ovarian carcinoma progression. Cell Research. 28(5). 556–571. 27 indexed citations
5.
Dutertre, Martin, Gabriel Sanchez, Jérôme Barbier, Laurent Corcos, & Didier Auboeuf. (2011). The emerging role of pre-messenger RNA splicing in stress responses: Sending alternative messages and silent messengers. RNA Biology. 8(5). 740–747. 76 indexed citations
6.
Dutertre, Martin, Gabriel Sanchez, Marie‐Cécile De Cian, et al.. (2010). Cotranscriptional exon skipping in the genotoxic stress response. Nature Structural & Molecular Biology. 17(11). 1358–1366. 127 indexed citations
7.
Bittencourt, Danielle, Martin Dutertre, Gabriel Sanchez, et al.. (2008). Cotranscriptional Splicing Potentiates the mRNA Production from a Subset of Estradiol-Stimulated Genes. Molecular and Cellular Biology. 28(18). 5811–5824. 21 indexed citations
8.
Sanchez, Gabriel, Danielle Bittencourt, Karine Laud, et al.. (2008). Alteration of cyclin D1 transcript elongation by a mutated transcription factor up-regulates the oncogenic D1b splice isoform in cancer. Proceedings of the National Academy of Sciences. 105(16). 6004–6009. 76 indexed citations
9.
Barbier, Jérôme, Martin Dutertre, Danielle Bittencourt, et al.. (2007). Regulation of H-ras Splice Variant Expression by Cross Talk between the p53 and Nonsense-Mediated mRNA Decay Pathways. Molecular and Cellular Biology. 27(20). 7315–7333. 36 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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2026