Charlotte Boix

1.4k total citations
16 papers, 1.0k citations indexed

About

Charlotte Boix is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Charlotte Boix has authored 16 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Immunology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Charlotte Boix's work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Charlotte Boix is often cited by papers focused on Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Charlotte Boix collaborates with scholars based in France, United States and Canada. Charlotte Boix's co-authors include Carine Giovannangeli, Laurent Tesson, Jean‐Paul Concordet, Ignacio Anegón, Anne De Cian, Wolf H. Fridman, Jean‐Luc Teillaud, Jean-Baptiste Renaud, Christopher G. Mueller and Reynald Thinard and has published in prestigious journals such as Nature Communications, PLoS ONE and Cancer Research.

In The Last Decade

Charlotte Boix

16 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charlotte Boix France 14 737 261 187 176 170 16 1.0k
Geulah Livshits United States 13 877 1.2× 425 1.6× 186 1.0× 433 2.5× 63 0.4× 18 1.5k
Robin Graf Germany 9 531 0.7× 278 1.1× 157 0.8× 123 0.7× 22 0.1× 14 802
Samuel W. Du United States 12 611 0.8× 324 1.2× 231 1.2× 101 0.6× 43 0.3× 23 1.0k
Lupeng Ye China 17 966 1.3× 362 1.4× 227 1.2× 509 2.9× 18 0.1× 35 1.4k
Luisa Albano Italy 11 780 1.1× 108 0.4× 341 1.8× 438 2.5× 66 0.4× 22 1.1k
Irene Scarfò United States 15 1.1k 1.4× 553 2.1× 499 2.7× 1.4k 8.1× 77 0.5× 32 2.2k
Walker S. Lahr United States 11 731 1.0× 221 0.8× 269 1.4× 416 2.4× 17 0.1× 21 1.0k
Leng-Siew Yeap China 11 842 1.1× 270 1.0× 109 0.6× 135 0.8× 80 0.5× 16 1.1k
Bian Hu China 17 1.1k 1.5× 196 0.8× 360 1.9× 389 2.2× 10 0.1× 30 1.5k
Ludovic Deriano France 20 1.3k 1.7× 347 1.3× 130 0.7× 515 2.9× 33 0.2× 33 1.6k

Countries citing papers authored by Charlotte Boix

Since Specialization
Citations

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

Fields of papers citing papers by Charlotte Boix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charlotte Boix

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

All Works

16 of 16 papers shown
1.
Charpentier, Maud, Séverine Ménoret, A. Brion, et al.. (2018). CtIP fusion to Cas9 enhances transgene integration by homology-dependent repair. Nature Communications. 9(1). 1133–1133. 152 indexed citations
2.
Renaud, Jean-Baptiste, Charlotte Boix, Marine Charpentier, et al.. (2016). Improved Genome Editing Efficiency and Flexibility Using Modified Oligonucleotides with TALEN and CRISPR-Cas9 Nucleases. Cell Reports. 14(9). 2263–2272. 221 indexed citations
3.
Ménoret, Séverine, Anne De Cian, Laurent Tesson, et al.. (2015). Homology-directed repair in rodent zygotes using Cas9 and TALEN engineered proteins. Scientific Reports. 5(1). 14410–14410. 65 indexed citations
4.
Larcher, Thibaut, Aude Lafoux, Laurent Tesson, et al.. (2014). Characterization of Dystrophin Deficient Rats: A New Model for Duchenne Muscular Dystrophy. PLoS ONE. 9(10). e110371–e110371. 135 indexed citations
5.
Cornillon, Amélie, Martine Chartier, Ghislaine Béhar, et al.. (2013). Single-Domain Antibody–Based and Linker-Free Bispecific Antibodies Targeting FcγRIII Induce Potent Antitumor Activity without Recruiting Regulatory T Cells. Molecular Cancer Therapeutics. 12(8). 1481–1491. 58 indexed citations
6.
Barrio, María Marcela, Riad Abès, Marina Colombo, et al.. (2012). Human Macrophages and Dendritic Cells Can Equally Present MART-1 Antigen to CD8+ T Cells after Phagocytosis of Gamma-Irradiated Melanoma Cells. PLoS ONE. 7(7). e40311–e40311. 43 indexed citations
7.
Simon, Philippe, Stéphanie Bonneau, Patrizia Alberti, et al.. (2012). Flavin Conjugates for Delivery of Peptide Nucleic Acids. ChemBioChem. 13(17). 2593–2598. 10 indexed citations
8.
Cassard, Lydie, Joël F.G. Cohen-Solal, Emilie Fournier, et al.. (2008). Selective expression of inhibitory Fcγ receptor by metastatic melanoma impairs tumor susceptibility to IgG‐dependent cellular response. International Journal of Cancer. 123(12). 2832–2839. 23 indexed citations
9.
Béhar, Ghislaine, Sophie Sibéril, Patrick Chames, et al.. (2007). Isolation and characterization of anti-Fc RIII (CD16) llama single-domain antibodies that activate natural killer cells. Protein Engineering Design and Selection. 21(1). 1–10. 72 indexed citations
10.
Kwan, W. H., et al.. (2007). LPS induces rapid IL-10 release by M-CSF-conditioned tolerogenic dendritic cell precursors. Journal of Leukocyte Biology. 82(1). 133–141. 19 indexed citations
11.
Mueller, Christopher G., Charlotte Boix, W. H. Kwan, et al.. (2007). Critical role of monocytes to support normal B cell and diffuse large B cell lymphoma survival and proliferation. Journal of Leukocyte Biology. 82(3). 567–575. 65 indexed citations
12.
Sibéril, Sophie, Charles‐Antoine Dutertre, Charlotte Boix, et al.. (2006). Molecular aspects of human FcγR interactions with IgG: Functional and therapeutic consequences. Immunology Letters. 106(2). 111–118. 44 indexed citations
13.
Sibéril, Sophie, Charles‐Antoine Dutertre, Charlotte Boix, & Jean‐Luc Teillaud. (2005). Anticorps monoclonaux à usage thérapeutique : un peu d'histoire, beaucoup d'ingénierie, et … quelques succès cliniques. Transfusion Clinique et Biologique. 12(2). 114–122. 5 indexed citations
14.
Marmey, B, Charlotte Boix, Marie‐Caroline Dieu‐Nosjean, et al.. (2005). CD14 and CD169 expression in human lymph nodes and spleen: specific expansion of CD14+CD169− monocyte-derived cells in diffuse large B-cell lymphomas. Human Pathology. 37(1). 68–77. 39 indexed citations
15.
Tourneur, Léa, Charlotte Boix, Bruno Varet, et al.. (2005). Autologous peptides eluted from acute myeloid leukemia cells can be used to generate specific antileukemic CD4 helper and CD8 cytotoxic T lymphocyte responses in vitro.. PubMed. 90(8). 1050–62. 13 indexed citations
16.
Tourneur, Léa, Vincent Lévy, Françoise Valensi, et al.. (2004). Absence or Low Expression of Fas-Associated Protein with Death Domain in Acute Myeloid Leukemia Cells Predicts Resistance to Chemotherapy and Poor Outcome. Cancer Research. 64(21). 8101–8108. 65 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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