Aymeric Duclert

3.2k total citations · 1 hit paper
35 papers, 2.3k citations indexed

About

Aymeric Duclert is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Aymeric Duclert has authored 35 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 9 papers in Oncology and 6 papers in Genetics. Recurrent topics in Aymeric Duclert's work include CRISPR and Genetic Engineering (18 papers), CAR-T cell therapy research (9 papers) and RNA and protein synthesis mechanisms (7 papers). Aymeric Duclert is often cited by papers focused on CRISPR and Genetic Engineering (18 papers), CAR-T cell therapy research (9 papers) and RNA and protein synthesis mechanisms (7 papers). Aymeric Duclert collaborates with scholars based in France, United Kingdom and United States. Aymeric Duclert's co-authors include Jean‐Pierre Changeux, Philippe Duchâteau, Laurent Poirot, Alexandre Juillerat, Julien Valton, Sylvain Arnould, Alan Maréchal, Julianne Smith, Frédéric Pâques and Jean-Charles Epinat and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Aymeric Duclert

34 papers receiving 2.2k citations

Hit Papers

Multiplex Genome-Edited T-cell Manufacturing Platform for... 2015 2026 2018 2022 2015 100 200 300 400

Peers

Aymeric Duclert
Samira Kiani United States
Isaac B. Hilton United States
Daniel P. Dever United States
Hui Shen China
George E. Katibah United States
Jessie R. Davis United States
Ramón Vidal Germany
Peyton B. Randolph United States
Samira Kiani United States
Aymeric Duclert
Citations per year, relative to Aymeric Duclert Aymeric Duclert (= 1×) peers Samira Kiani

Countries citing papers authored by Aymeric Duclert

Since Specialization
Citations

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

Fields of papers citing papers by Aymeric Duclert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aymeric Duclert

This figure shows the co-authorship network connecting the top 25 collaborators of Aymeric Duclert. A scholar is included among the top collaborators of Aymeric Duclert 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 Aymeric Duclert. Aymeric Duclert 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.
Boyne, Alex, Diane Tkach, Robert Hong, et al.. (2022). Efficient multitool/multiplex gene engineering with TALE-BE. Frontiers in Bioengineering and Biotechnology. 10. 1033669–1033669. 6 indexed citations
2.
Valton, Julien, Valérie Guyot, Bijan Boldajipour, et al.. (2018). A Versatile Safeguard for Chimeric Antigen Receptor T-Cell Immunotherapies. Scientific Reports. 8(1). 8972–8972. 28 indexed citations
3.
Juillerat, Alexandre, et al.. (2017). Fine and Predictable Tuning of TALEN Gene Editing Targeting for Improved T Cell Adoptive Immunotherapy. Molecular Therapy — Nucleic Acids. 9. 312–321. 38 indexed citations
4.
Juillerat, Alexandre, Alan Maréchal, Julien Valton, et al.. (2016). Design of chimeric antigen receptors with integrated controllable transient functions. Scientific Reports. 6(1). 18950–18950. 74 indexed citations
5.
Poirot, Laurent, Brian Philip, Cécile Schiffer-Mannioui, et al.. (2015). Multiplex Genome-Edited T-cell Manufacturing Platform for “Off-the-Shelf” Adoptive T-cell Immunotherapies. Cancer Research. 75(18). 3853–3864. 468 indexed citations breakdown →
6.
Valton, Julien, Valérie Guyot, Alan Maréchal, et al.. (2015). A Multidrug-resistant Engineered CAR T Cell for Allogeneic Combination Immunotherapy. Molecular Therapy. 23(9). 1507–1518. 87 indexed citations
7.
Juillerat, Alexandre, Gwendoline Dubois, Valérie Guyot, et al.. (2015). Optimized tuning of TALEN specificity using non-conventional RVDs. Scientific Reports. 5(1). 8150–8150. 30 indexed citations
8.
Juillerat, Alexandre, Gwendoline Dubois, Julien Valton, et al.. (2014). Comprehensive analysis of the specificity of transcription activator-like effector nucleases. Nucleic Acids Research. 42(8). 5390–5402. 75 indexed citations
9.
Juillerat, Alexandre, Marine Beurdeley, Julien Valton, et al.. (2014). Exploring the transcription activator-like effectors scaffold versatility to expand the toolbox of designer nucleases. BMC Molecular Biology. 15(1). 13–13. 3 indexed citations
10.
Zaslavskiy, Mikhail, Claudia Bertonati, Philippe Duchâteau, Aymeric Duclert, & George H. Silva. (2014). Efficient design of meganucleases using a machine learning approach. BMC Bioinformatics. 15(1). 191–191. 8 indexed citations
11.
Valton, Julien, Jean‐Pierre Cabaniols, Román Galetto, et al.. (2014). Efficient strategies for TALEN-mediated genome editing in mammalian cell lines. Methods. 69(2). 151–170. 13 indexed citations
12.
Grizot, Sylvestre, Aymeric Duclert, Séverine Thomas, Philippe Duchâteau, & Frédéric Pâques. (2011). Context dependence between subdomains in the DNA binding interface of the I-CreI homing endonuclease. Nucleic Acids Research. 39(14). 6124–6136. 12 indexed citations
13.
Arnould, Sylvain, Christophe Perez, Jean‐Pierre Cabaniols, et al.. (2007). Engineered I-CreI Derivatives Cleaving Sequences from the Human XPC Gene can Induce Highly Efficient Gene Correction in Mammalian Cells. Journal of Molecular Biology. 371(1). 49–65. 107 indexed citations
14.
Smith, Julianne, Sylvestre Grizot, Sylvain Arnould, et al.. (2006). A combinatorial approach to create artificial homing endonucleases cleaving chosen sequences. Nucleic Acids Research. 34(22). e149–e149. 231 indexed citations
15.
Arnould, Sylvain, Patrick Chames, Christophe Perez, et al.. (2005). Engineering of Large Numbers of Highly Specific Homing Endonucleases that Induce Recombination on Novel DNA Targets. Journal of Molecular Biology. 355(3). 443–458. 145 indexed citations
16.
Duclert, Aymeric, et al.. (1996). Identification of an Element Crucial for the Sub-synaptic Expression of the Acetylcholine Receptor ε-Subunit Gene. Journal of Biological Chemistry. 271(29). 17433–17438. 87 indexed citations
17.
Piette, Jacques, Monique Huchet, Aymeric Duclert, Atsuko Fujisawa‐Sehara, & Jean‐Pierre Changeux. (1992). Localization of mRNAs coding for CMD1, myogenin and the α-subunit of the acetylcholine receptor during skeletal muscle development in the chicken. Mechanisms of Development. 37(1-2). 95–106. 33 indexed citations
18.
Duclert, Aymeric, Jacques Piette, & Jean‐Pierre Changeux. (1991). Influence of innervation of myogenic factors and acetylcholine receptor α-subunit mRNAs. Neuroreport. 2(1). 25–28. 73 indexed citations
19.
Changeux, Jean Pierre, C. Babinet, Jean‐Louis Bessereau, et al.. (1990). Compartmentalization of Acetylcholine Receptor Gene Expression during Development of the Neuromuscular Junction. Cold Spring Harbor Symposia on Quantitative Biology. 55(0). 381–396. 24 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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