Anne Biton

2.7k total citations
25 papers, 1.2k citations indexed

About

Anne Biton is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Anne Biton has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Cancer Research. Recurrent topics in Anne Biton's work include Gene expression and cancer classification (5 papers), Bioinformatics and Genomic Networks (3 papers) and MicroRNA in disease regulation (3 papers). Anne Biton is often cited by papers focused on Gene expression and cancer classification (5 papers), Bioinformatics and Genomic Networks (3 papers) and MicroRNA in disease regulation (3 papers). Anne Biton collaborates with scholars based in France, United States and United Kingdom. Anne Biton's co-authors include Lin He, Terence P. Speed, John E. Wilkinson, Noah Zaitlen, Biao He, Chao‐Po Lin, Nobuhiro Okada, Xingyue He, Marcelo C. Ribeiro and David M. Jablons and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Anne Biton

25 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne Biton France 15 856 370 124 119 79 25 1.2k
Ya Cui China 17 730 0.9× 270 0.7× 135 1.1× 260 2.2× 77 1.0× 44 1.2k
Elizabeth Guruceaga Spain 25 1.1k 1.3× 513 1.4× 202 1.6× 216 1.8× 117 1.5× 64 1.6k
David R. Loiselle United States 21 927 1.1× 245 0.7× 111 0.9× 175 1.5× 66 0.8× 31 1.3k
Ruitao Zhang China 19 420 0.5× 254 0.7× 137 1.1× 55 0.5× 96 1.2× 53 949
Toma Tebaldi Italy 24 1.6k 1.8× 342 0.9× 229 1.8× 223 1.9× 86 1.1× 64 2.0k
Jong Heon Kim South Korea 19 988 1.2× 595 1.6× 124 1.0× 90 0.8× 160 2.0× 51 1.3k
Liang Zhou China 21 737 0.9× 179 0.5× 214 1.7× 114 1.0× 116 1.5× 79 1.2k
Yasuhiro Tomaru Japan 20 1.1k 1.2× 504 1.4× 63 0.5× 81 0.7× 92 1.2× 41 1.4k
Chih-Hung Hsu China 16 1.7k 2.0× 533 1.4× 233 1.9× 99 0.8× 149 1.9× 30 2.0k
Idit Kosti United States 16 725 0.8× 185 0.5× 74 0.6× 114 1.0× 125 1.6× 20 1.0k

Countries citing papers authored by Anne Biton

Since Specialization
Citations

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

Fields of papers citing papers by Anne Biton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Biton

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Biton. A scholar is included among the top collaborators of Anne Biton 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 Anne Biton. Anne Biton 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.
Biton, Anne, Benoît Forget, Fabrice de Chaumont, et al.. (2023). Excessive self-grooming, gene dysregulation and imbalance between the striosome and matrix compartments in the striatum of Shank3 mutant mice. Frontiers in Molecular Neuroscience. 16. 1139118–1139118. 12 indexed citations
2.
Biton, Anne, Bryan Brancotte, Yoann Dufresne, et al.. (2023). BioConvert: a comprehensive format converter for life sciences. NAR Genomics and Bioinformatics. 5(3). lqad074–lqad074. 3 indexed citations
3.
Freyer, Laina, et al.. (2022). Erythro-myeloid progenitor origin of Hofbauer cells in the early mouse placenta. Development. 149(8). 13 indexed citations
4.
Grzelak, Ludivine, Ferdinand Roesch, Amaury Vaysse, et al.. (2022). IRF8 regulates efficacy of therapeutic anti‐CD20 monoclonal antibodies. European Journal of Immunology. 52(10). 1648–1661. 7 indexed citations
5.
Siegel, David, Olivier Le Tonquèze, Anne Biton, Noah Zaitlen, & David J. Erle. (2021). Massively parallel analysis of human 3′ UTRs reveals that AU-rich element length and registration predict mRNA destabilization. G3 Genes Genomes Genetics. 12(1). 34 indexed citations
6.
Xue, Bin, Chen-Hua Chuang, Haydn M. Prosser, et al.. (2021). miR-200 deficiency promotes lung cancer metastasis by activating Notch signaling in cancer-associated fibroblasts. Genes & Development. 35(15-16). 1109–1122. 52 indexed citations
7.
Modzelewski, A, Wanqing Shao, Jingqi Chen, et al.. (2021). A mouse-specific retrotransposon drives a conserved Cdk2ap1 isoform essential for development. Cell. 184(22). 5541–5558.e22. 61 indexed citations
8.
Iturri, Lorea, et al.. (2021). Megakaryocyte production is sustained by direct differentiation from erythromyeloid progenitors in the yolk sac until midgestation. Immunity. 54(7). 1433–1446.e5. 28 indexed citations
9.
Jabs, Sabrina, Anne Biton, Christophe Bécavin, et al.. (2020). Impact of the gut microbiota on the m6A epitranscriptome of mouse cecum and liver. Nature Communications. 11(1). 1344–1344. 85 indexed citations
10.
Matteis, Laura De, Anne Biton, Anne Danckaert, et al.. (2019). Tri-mannose grafting of chitosan nanocarriers remodels the macrophage response to bacterial infection. Journal of Nanobiotechnology. 17(1). 15–15. 14 indexed citations
11.
Goubran‐Botros, Hany, Anne Danckaert, Jean-Yves Tinévez, et al.. (2019). Altered spinogenesis in iPSC-derived cortical neurons from patients with autism carrying de novo SHANK3 mutations. Scientific Reports. 9(1). 94–94. 46 indexed citations
12.
Pérot, Philippe, Anne Biton, André Nazac, et al.. (2019). Broad-Range Papillomavirus Transcriptome as a Biomarker of Papillomavirus-Associated Cervical High-Grade Cytology. Journal of Molecular Diagnostics. 21(5). 768–781. 3 indexed citations
13.
Boettcher, Michael, Sergio Covarrubias, Anne Biton, et al.. (2019). Tracing cellular heterogeneity in pooled genetic screens via multi-level barcoding. BMC Genomics. 20(1). 107–107. 10 indexed citations
14.
Boettcher, Michael, Ruilin Tian, Ryan T. Wagner, et al.. (2018). Dual gene activation and knockout screen reveals directional dependencies in genetic networks. Nature Biotechnology. 36(2). 170–178. 101 indexed citations
15.
Zhao, Wenxue, David Siegel, Anne Biton, et al.. (2017). CRISPR–Cas9-mediated functional dissection of 3′-UTRs. Nucleic Acids Research. 45(18). 10800–10810. 32 indexed citations
16.
Okada, Nobuhiro, Chao‐Po Lin, Marcelo C. Ribeiro, et al.. (2014). A positive feedback between p53 and miR-34 miRNAs mediates tumor suppression. Genes & Development. 28(5). 438–450. 246 indexed citations
17.
Biton, Anne, Isabelle Bernard‐Pierrot, Yinjun Lou, et al.. (2014). Independent Component Analysis Uncovers the Landscape of the Bladder Tumor Transcriptome and Reveals Insights into Luminal and Basal Subtypes. Cell Reports. 9(4). 1235–1245. 117 indexed citations
18.
Clavel, Joanne, Nicolas Poulet, Emmanuelle Porcher, et al.. (2013). A New Freshwater Biodiversity Indicator Based on Fish Community Assemblages. PLoS ONE. 8(11). e80968–e80968. 13 indexed citations
19.
Olive, Virginie, Erich Sabio, M Bennett, et al.. (2013). A component of the mir-17-92 polycistronic oncomir promotes oncogene-dependent apoptosis. eLife. 2. e00822–e00822. 63 indexed citations
20.
Servant, Nicolas, Eléonore Gravier, Pierre Gestraud, et al.. (2010). EMA - A R package for Easy Microarray data analysis. BMC Research Notes. 3(1). 277–277. 39 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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