Anne Béghin

1.7k total citations · 1 hit paper
21 papers, 974 citations indexed

About

Anne Béghin is a scholar working on Biophysics, Oncology and Cell Biology. According to data from OpenAlex, Anne Béghin has authored 21 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biophysics, 8 papers in Oncology and 8 papers in Cell Biology. Recurrent topics in Anne Béghin's work include Cell Image Analysis Techniques (8 papers), 3D Printing in Biomedical Research (6 papers) and Advanced Fluorescence Microscopy Techniques (5 papers). Anne Béghin is often cited by papers focused on Cell Image Analysis Techniques (8 papers), 3D Printing in Biomedical Research (6 papers) and Advanced Fluorescence Microscopy Techniques (5 papers). Anne Béghin collaborates with scholars based in France, Singapore and United States. Anne Béghin's co-authors include Jean‐Baptiste Sibarita, Florian Levet, Corey Butler, Adel Kechkar, Daniel Choquet, Eric Hosy, Charles Dumontet, Rémi Galland, Jean‐Jacques Diaz and Laurent Bezin and has published in prestigious journals such as Nature Medicine, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Anne Béghin

21 papers receiving 955 citations

Hit Papers

Clinical applications of human organoids 2025 2026 2025 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne Béghin France 12 531 338 163 133 116 21 974
Zeno Lavagnino Italy 14 635 1.2× 562 1.7× 240 1.5× 141 1.1× 118 1.0× 22 1.2k
Alexia Ferrand Switzerland 10 638 1.2× 506 1.5× 262 1.6× 185 1.4× 188 1.6× 12 1.3k
Sinem K. Saka Germany 13 988 1.9× 356 1.1× 249 1.5× 120 0.9× 91 0.8× 19 1.3k
Ron A. Hoebe Netherlands 20 849 1.6× 481 1.4× 323 2.0× 82 0.6× 78 0.7× 48 1.7k
Chenglong Xia United States 10 956 1.8× 477 1.4× 183 1.1× 137 1.0× 154 1.3× 14 1.4k
Anna Szymborska Germany 11 1.0k 2.0× 311 0.9× 141 0.9× 168 1.3× 341 2.9× 13 1.5k
Oliver Beutel Germany 17 757 1.4× 263 0.8× 174 1.1× 101 0.8× 215 1.9× 23 1.2k
Douglas H. Roossien United States 9 539 1.0× 286 0.8× 96 0.6× 119 0.9× 175 1.5× 15 954
Felix Bestvater Germany 19 745 1.4× 274 0.8× 199 1.2× 72 0.5× 306 2.6× 43 1.4k
Wei Ji China 18 725 1.4× 605 1.8× 232 1.4× 325 2.4× 203 1.8× 44 1.4k

Countries citing papers authored by Anne Béghin

Since Specialization
Citations

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

Fields of papers citing papers by Anne Béghin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Béghin

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Béghin. A scholar is included among the top collaborators of Anne Béghin 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 Béghin. Anne Béghin 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.
Verstegen, Monique M.A., Robert P. Coppes, Anne Béghin, et al.. (2025). Clinical applications of human organoids. Nature Medicine. 31(2). 409–421. 49 indexed citations breakdown →
2.
Ong, Hui Ting, Gianluca Grenci, Alessandro Furlan, et al.. (2025). Digitalized organoids: integrated pipeline for high-speed 3D analysis of organoid structures using multilevel segmentation and cellular topology. Nature Methods. 22(6). 1343–1354. 6 indexed citations
3.
Racine, Victor, et al.. (2024). Organoids: Unveiling Insights with Volume Electron Microscopy. SHILAP Revista de lepidopterología. 129. 12004–12004. 1 indexed citations
4.
Barry, Thierno, Anne Béghin, Virgile Viasnoff, et al.. (2023). SalienceNet: An Unsupervised Image-to-Image Translation Method for Nuclei Saliency Enhancement in Microscopy Images. SPIRE - Sciences Po Institutional REpository. 41–51. 1 indexed citations
5.
Grenci, Gianluca, et al.. (2022). A High-Throughput Platform for Culture and 3D Imaging of Organoids. Journal of Visualized Experiments. 2 indexed citations
6.
Béghin, Anne, Gianluca Grenci, Su Guo, et al.. (2022). Automated high-speed 3D imaging of organoid cultures with multi-scale phenotypic quantification. Nature Methods. 19(7). 881–892. 75 indexed citations
7.
Grenci, Gianluca, et al.. (2022). A High-Throughput Platform for Culture and 3D Imaging of Organoids. Journal of Visualized Experiments. 1 indexed citations
8.
Boulan, Benoît, Anne Béghin, Jean‐Christophe Deloulme, et al.. (2020). AutoNeuriteJ: An ImageJ plugin for measurement and classification of neuritic extensions. PLoS ONE. 15(7). e0234529–e0234529. 28 indexed citations
9.
Levet, Florian, Rémi Galland, Corey Butler, et al.. (2019). A tessellation-based colocalization analysis approach for single-molecule localization microscopy. Nature Communications. 10(1). 2379–2379. 73 indexed citations
10.
Béghin, Anne, Adel Kechkar, Corey Butler, et al.. (2017). Localization-based super-resolution imaging meets high-content screening. Nature Methods. 14(12). 1184–1190. 83 indexed citations
11.
Levet, Florian, Eric Hosy, Adel Kechkar, et al.. (2015). SR-Tesseler: a method to segment and quantify localization-based super-resolution microscopy data. Nature Methods. 12(11). 1065–1071. 313 indexed citations
12.
Béghin, Anne, et al.. (2014). Automated immunohistochemical method to quantify neuronal density in brain sections: Application to neuronal loss after status epilepticus. Journal of Neuroscience Methods. 225. 32–41. 11 indexed citations
13.
Simon, Bertrand, Matthieu Debailleul, Anne Béghin, Yves Tourneur, & Olivier Haeberlé. (2010). High‐resolution tomographic diffractive microscopy of biological samples. Journal of Biophotonics. 3(7). 462–467. 53 indexed citations
14.
Degot, Sébastien, et al.. (2010). Improved Visualization and Quantitative Analysis of Drug Effects Using Micropatterned Cells. Journal of Visualized Experiments. 11 indexed citations
15.
Béghin, Anne, Stéphane Belin, Sophie Goddard, et al.. (2009). ADP Ribosylation Factor Like 2 (Arl2) Regulates Breast Tumor Aggressivity in Immunodeficient Mice. PLoS ONE. 4(10). e7478–e7478. 18 indexed citations
16.
Belin, Stéphane, Anne Béghin, Eduardo Solano-Gonzàlez, et al.. (2009). Dysregulation of Ribosome Biogenesis and Translational Capacity Is Associated with Tumor Progression of Human Breast Cancer Cells. PLoS ONE. 4(9). e7147–e7147. 171 indexed citations
17.
Béghin, Anne, et al.. (2008). Expression of Arl2 is associated with p53 localization and chemosensitivity in a breast cancer cell line. Cell Cycle. 7(19). 3074–3082. 25 indexed citations
18.
Béghin, Anne, Carlos M. Galmarini, & Charles Dumontet. (2007). Tubulin Folding Pathways: Implication in the Regulation of Microtubule Dynamics. Current Cancer Drug Targets. 7(8). 697–703. 12 indexed citations
19.
Béghin, Anne, et al.. (2006). ADP ribosylation factor like 2 (Arl2) protein influences microtubule dynamics in breast cancer cells. Experimental Cell Research. 313(3). 473–485. 32 indexed citations
20.
Galmarini, Carlos M., Benjamin Pierre Bouchet, Carole Audoynaud, et al.. (2006). A p21/WAF1 mutation favors the appearance of drug resistance to paclitaxel in human noncancerous epithelial mammary cells. International Journal of Cancer. 119(1). 60–66. 7 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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