Brahim Belbellaa

574 total citations
8 papers, 434 citations indexed

About

Brahim Belbellaa is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Brahim Belbellaa has authored 8 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Genetics. Recurrent topics in Brahim Belbellaa's work include Virus-based gene therapy research (4 papers), Mitochondrial Function and Pathology (4 papers) and Genetic Neurodegenerative Diseases (4 papers). Brahim Belbellaa is often cited by papers focused on Virus-based gene therapy research (4 papers), Mitochondrial Function and Pathology (4 papers) and Genetic Neurodegenerative Diseases (4 papers). Brahim Belbellaa collaborates with scholars based in France, United States and Germany. Brahim Belbellaa's co-authors include Hélène Puccio, Laurent Monassier, Laurence Reutenauer, Nadia Messaddeq, Philippe Moullier, Fabienne Rolling, Knut Stieger, Patrick Aubourg, Nathalie Cartier and Ronald G. Crystal and has published in prestigious journals such as Nature Medicine, Advanced Drug Delivery Reviews and Human Molecular Genetics.

In The Last Decade

Brahim Belbellaa

8 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brahim Belbellaa France 6 367 201 150 43 40 8 434
Larry Fromm United States 13 438 1.2× 106 0.5× 75 0.5× 28 0.7× 12 0.3× 19 536
Alisa A. Shaimardanova Russia 8 257 0.7× 31 0.2× 176 1.2× 11 0.3× 30 0.8× 13 426
van Ommen Gj Netherlands 4 327 0.9× 51 0.3× 134 0.9× 8 0.2× 42 1.1× 5 445
Greg Martin United States 7 482 1.3× 53 0.3× 100 0.7× 8 0.2× 12 0.3× 8 593
Cyriaque Beley France 14 573 1.6× 122 0.6× 183 1.2× 13 0.3× 104 2.6× 18 653
Lorelei Stoica United States 7 256 0.7× 49 0.2× 175 1.2× 58 1.3× 23 0.6× 8 355
Karen Bulaklak United States 6 513 1.4× 31 0.2× 212 1.4× 11 0.3× 54 1.4× 7 599
Anna Manfredi Italy 11 400 1.1× 66 0.3× 171 1.1× 4 0.1× 11 0.3× 19 477
Kirsten E. Coleman United States 10 211 0.6× 32 0.2× 184 1.2× 8 0.2× 39 1.0× 14 333
Ute Nonhoff Germany 7 513 1.4× 283 1.4× 30 0.2× 181 4.2× 14 0.3× 8 649

Countries citing papers authored by Brahim Belbellaa

Since Specialization
Citations

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

Fields of papers citing papers by Brahim Belbellaa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brahim Belbellaa

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

All Works

8 of 8 papers shown
1.
Belbellaa, Brahim, Laurence Reutenauer, Nadia Messaddeq, Laurent Monassier, & Hélène Puccio. (2020). High Levels of Frataxin Overexpression Lead to Mitochondrial and Cardiac Toxicity in Mouse Models. Molecular Therapy — Methods & Clinical Development. 19. 120–138. 46 indexed citations
2.
Bennett, Antonette, Annahita Keravala, Justin Kurian, et al.. (2019). Structure comparison of the chimeric AAV2.7m8 vector with parental AAV2. Journal of Structural Biology. 209(2). 107433–107433. 25 indexed citations
3.
Belbellaa, Brahim, Laurence Reutenauer, Laurent Monassier, & Hélène Puccio. (2018). Correction of half the cardiomyocytes fully rescue Friedreich ataxia mitochondrial cardiomyopathy through cell-autonomous mechanisms. Human Molecular Genetics. 28(8). 1274–1285. 24 indexed citations
4.
Belbellaa, Brahim & Hélène Puccio. (2014). Vers une thérapie génique pour la cardiomyopathie associée à l’ataxie de Friedreich. médecine/sciences. 30(10). 842–845. 1 indexed citations
5.
Belbellaa, Brahim, Laurent Monassier, Laurence Reutenauer, et al.. (2014). Prevention and reversal of severe mitochondrial cardiomyopathy by gene therapy in a mouse model of Friedreich's ataxia. Nature Medicine. 20(5). 542–547. 172 indexed citations
6.
Joussemet, Béatrice, Brahim Belbellaa, Alexandra Mendes-Madeira, et al.. (2011). Neonatal systemic delivery of scAAV9 in rodents and large animals results in gene transfer to RPE cells in the retina. Experimental Eye Research. 93(4). 491–502. 4 indexed citations
7.
Stieger, Knut, Brahim Belbellaa, Caroline Le Guiner, Philippe Moullier, & Fabienne Rolling. (2009). In vivo gene regulation using tetracycline-regulatable systems. Advanced Drug Delivery Reviews. 61(7-8). 527–541. 89 indexed citations
8.
Stieger, Knut, Josef Schroeder, Nathalie Provost, et al.. (2008). Detection of Intact rAAV Particles up to 6 Years After Successful Gene Transfer in the Retina of Dogs and Primates. Molecular Therapy. 17(3). 516–523. 73 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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