Fabien Aubé

566 total citations
9 papers, 381 citations indexed

About

Fabien Aubé is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Oncology. According to data from OpenAlex, Fabien Aubé has authored 9 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 1 paper in Cardiology and Cardiovascular Medicine and 1 paper in Oncology. Recurrent topics in Fabien Aubé's work include RNA and protein synthesis mechanisms (5 papers), RNA Research and Splicing (5 papers) and RNA modifications and cancer (4 papers). Fabien Aubé is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), RNA Research and Splicing (5 papers) and RNA modifications and cancer (4 papers). Fabien Aubé collaborates with scholars based in France, Luxembourg and United States. Fabien Aubé's co-authors include Emiliano P. Ricci, Antoine Corbin, Valérie Risson, Théophile Ohlmann, Laurent Schaeffer, Juliana Blin, Hakim Mireau, Martine Quadrado, Marie Teixeira and Christian Pinset and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Genome Research.

In The Last Decade

Fabien Aubé

7 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fabien Aubé France	7	350	95	31	27	22	9	381
Jérémy Loehr Canada	7	359 1.0×	75 0.8×	31 1.0×	32 1.2×	21 1.0×	13	407
Grégoire Cullot France	5	389 1.1×	108 1.1×	31 1.0×	40 1.5×	14 0.6×	10	418
Shuming Yin China	9	233 0.7×	102 1.1×	28 0.9×	12 0.4×	13 0.6×	12	269
Minerva E. Sanchez United States	4	272 0.8×	101 1.1×	21 0.7×	21 0.8×	17 0.8×	4	342
Changchang Xin China	8	339 1.0×	56 0.6×	36 1.2×	35 1.3×	11 0.5×	14	374
Tarun S. Nambiar United States	4	372 1.1×	113 1.2×	44 1.4×	42 1.6×	9 0.4×	4	381
Alessandro Migliara Italy	2	332 0.9×	81 0.9×	22 0.7×	22 0.8×	12 0.5×	3	352
Tanja Rothgangl Switzerland	8	281 0.8×	111 1.2×	14 0.5×	21 0.8×	13 0.6×	9	303
Chih-Chung Kuo United States	2	311 0.9×	59 0.6×	18 0.6×	23 0.9×	13 0.6×	4	339
Madina Karimova Germany	7	249 0.7×	86 0.9×	16 0.5×	25 0.9×	12 0.5×	11	328

Countries citing papers authored by Fabien Aubé

Since Specialization

Citations

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

Fields of papers citing papers by Fabien Aubé

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabien Aubé

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

All Works

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9 of 9 papers shown

1.

Aubé, Fabien, et al.. (2024). Metabolism-dependent secondary effect of anti-MAPK cancer therapy on DNA repair. NAR Cancer. 6(2). zcae019–zcae019.

2.

Mercier, Blandine C., David Cluet, Alicia A. Bicknell, et al.. (2024). Translation-dependent and -independent mRNA decay occur through mutually exclusive pathways defined by ribosome density during T cell activation. Genome Research. 34(3). 394–409. 7 indexed citations

3.

Chardon, G, Gwendal Cueff, Étienne Delannoy, et al.. (2020). The Consequences of a Disruption in Cyto-Nuclear Coadaptation on the Molecular Response to a Nitrate Starvation in Arabidopsis. Plants. 9(5). 573–573.

4.

Aubé, Fabien, Jean‐Baptiste Claude, Hélène Polvèche, et al.. (2019). Characterizing the interplay between gene nucleotide composition bias and splicing. Genome biology. 20(1). 259–259. 15 indexed citations

5.

Aubé, Fabien, Jean‐Baptiste Claude, Hélène Polvèche, et al.. (2019). Interplay between coding and exonic splicing regulatory sequences. Genome Research. 29(5). 711–722. 12 indexed citations

6.

Mangeot, Philippe, Valérie Risson, Floriane Fusil, et al.. (2018). Genome editing in primary cells and in vivo using viral-derived Nanoblades loaded with Cas9-sgRNA ribonucleoproteins. Nature Communications. 10(1). 45–45. 233 indexed citations

7.

Aubé, Fabien, et al.. (2018). Three new pentatricopeptide repeat proteins facilitate the splicing of mitochondrial transcripts and complex I biogenesis in Arabidopsis. Journal of Experimental Botany. 69(21). 5131–5140. 34 indexed citations

8.

Tranchevent, Léon-Charles, Fabien Aubé, Clara Benoit‐Pilven, et al.. (2017). Identification of protein features encoded by alternative exons using Exon Ontology. Genome Research. 27(6). 1087–1097. 44 indexed citations

9.

Aubé, Fabien, et al.. (2017). The pentatricopeptide repeat protein MTSF2 stabilizes a nad1 precursor transcript and defines the 3΄ end of its 5΄-half intron. Nucleic Acids Research. 45(10). 6119–6134. 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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