Séverine Perian

447 total citations
9 papers, 290 citations indexed

About

Séverine Perian is a scholar working on Molecular Biology, Genetics and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Séverine Perian has authored 9 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Genetics and 2 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Séverine Perian's work include Virus-based gene therapy research (3 papers), Effects and risks of endocrine disrupting chemicals (2 papers) and Estrogen and related hormone effects (2 papers). Séverine Perian is often cited by papers focused on Virus-based gene therapy research (3 papers), Effects and risks of endocrine disrupting chemicals (2 papers) and Estrogen and related hormone effects (2 papers). Séverine Perian collaborates with scholars based in France, Germany and Belgium. Séverine Perian's co-authors include Florent Lassalle, Laurent Duret, Vincent Daubin, Xavier Nesme, Thomas Bataillon, Jean-Marc Vanacker, Catherine Cerutti, Violaine Tribollet, Christelle Forcet and Floriane Fusil and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Séverine Perian

8 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Séverine Perian France 6 208 112 42 40 33 9 290
Desheng Gong China 9 230 1.1× 42 0.4× 16 0.4× 23 0.6× 53 1.6× 17 343
Anton Svetlanov United States 12 362 1.7× 184 1.6× 17 0.4× 36 0.9× 40 1.2× 13 488
Li Jan Lo China 9 246 1.2× 48 0.4× 13 0.3× 18 0.5× 37 1.1× 15 373
Aayushi Jain India 6 215 1.0× 41 0.4× 31 0.7× 29 0.7× 51 1.5× 9 299
M. Ehn Sweden 8 261 1.3× 39 0.3× 32 0.8× 56 1.4× 22 0.7× 9 375
Kieran Bransfield United Kingdom 3 178 0.9× 37 0.3× 24 0.6× 21 0.5× 28 0.8× 3 304
Yalbi Itzel Balderas-Martínez Mexico 10 193 0.9× 97 0.9× 7 0.2× 30 0.8× 21 0.6× 22 318
Xinyuan Zhu China 10 281 1.4× 134 1.2× 34 0.8× 52 1.3× 10 0.3× 16 409

Countries citing papers authored by Séverine Perian

Since Specialization
Citations

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

Fields of papers citing papers by Séverine Perian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Séverine Perian

This figure shows the co-authorship network connecting the top 25 collaborators of Séverine Perian. A scholar is included among the top collaborators of Séverine Perian 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 Séverine Perian. Séverine Perian 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.
Gutiérrez-Guerrero, Alejandra, Séverine Perian, Caroline Costa, et al.. (2025). Ligand-modified rAAV6 vectors with nanoblades allow high-level gene knockin in HSPCs without compromising cell survival. Molecular Therapy — Nucleic Acids. 36(2). 102495–102495.
2.
3.
Agarwal, Shiwani, Séverine Perian, Floriane Fusil, et al.. (2021). Genetic in vivo engineering of human T lymphocytes in mouse models. Nature Protocols. 16(7). 3210–3240. 28 indexed citations
4.
Gutiérrez-Guerrero, Alejandra, Philippe Mangeot, Caroline Costa, et al.. (2021). Baboon Envelope Pseudotyped “Nanoblades” Carrying Cas9/gRNA Complexes Allow Efficient Genome Editing in Human T, B, and CD34+ Cells and Knock-in of AAV6-Encoded Donor DNA in CD34+ Cells. SHILAP Revista de lepidopterología. 3. 604371–604371. 31 indexed citations
5.
Perian, Séverine, Catherine Cerutti, Christelle Forcet, Violaine Tribollet, & Jean-Marc Vanacker. (2020). A Cell-Based Method to Detect Agonist and Antagonist Activities of Endocrine-Disrupting Chemicals on GPER. Frontiers in Endocrinology. 11. 547–547. 5 indexed citations
6.
Perian, Séverine & Jean-Marc Vanacker. (2020). GPER as a Receptor for Endocrine-Disrupting Chemicals (EDCs). Frontiers in Endocrinology. 11. 545–545. 27 indexed citations
7.
Zhang, Ling, Julie Carnesecchi, Catherine Cerutti, et al.. (2018). LSD1-ERRα complex requires NRF1 to positively regulate transcription and cell invasion. Scientific Reports. 8(1). 10041–10041. 13 indexed citations
8.
Tribollet, Violaine, Bruno Barenton, Séverine Vincent, et al.. (2016). miR-135a Inhibits the Invasion of Cancer Cells via Suppression of ERRα. PLoS ONE. 11(5). e0156445–e0156445. 36 indexed citations
9.
Lassalle, Florent, Séverine Perian, Thomas Bataillon, et al.. (2015). GC-Content Evolution in Bacterial Genomes: The Biased Gene Conversion Hypothesis Expands. PLoS Genetics. 11(2). e1004941–e1004941. 145 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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