Auguste Genovesio

4.8k total citations
71 papers, 2.8k citations indexed

About

Auguste Genovesio is a scholar working on Molecular Biology, Biophysics and Media Technology. According to data from OpenAlex, Auguste Genovesio has authored 71 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 24 papers in Biophysics and 12 papers in Media Technology. Recurrent topics in Auguste Genovesio's work include Cell Image Analysis Techniques (22 papers), Image Processing Techniques and Applications (12 papers) and Microtubule and mitosis dynamics (10 papers). Auguste Genovesio is often cited by papers focused on Cell Image Analysis Techniques (22 papers), Image Processing Techniques and Applications (12 papers) and Microtubule and mitosis dynamics (10 papers). Auguste Genovesio collaborates with scholars based in France, South Korea and United States. Auguste Genovesio's co-authors include Jean‐Christophe Olivo‐Marín, Ghislain G. Cabal, Shantanu Singh, Anne E. Carpenter, Ulf Nehrbass, Nathalie Spassky, Christophe Zimmer, Frank Feuerbach, Olivier Gadal and Susana Rodríguez‐Navarro and has published in prestigious journals such as Nature, Science and Nucleic Acids Research.

In The Last Decade

Auguste Genovesio

69 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Auguste Genovesio France 26 1.6k 531 300 300 271 71 2.8k
Holger Erfle Germany 28 1.8k 1.1× 614 1.2× 204 0.7× 134 0.4× 407 1.5× 87 2.8k
Timo Zimmermann Germany 19 1.7k 1.1× 697 1.3× 147 0.5× 197 0.7× 571 2.1× 45 3.0k
Thibault Lagache France 20 1.2k 0.7× 459 0.9× 199 0.7× 114 0.4× 400 1.5× 44 2.3k
Pascal Roux France 29 1.8k 1.2× 209 0.4× 453 1.5× 405 1.4× 358 1.3× 39 4.1k
Alexandre Dufour France 21 974 0.6× 811 1.5× 187 0.6× 180 0.6× 416 1.5× 44 2.5k
Hirotaka Kuwata Japan 23 1.6k 1.0× 507 1.0× 341 1.1× 198 0.7× 433 1.6× 59 3.9k
Marko Lampe Germany 20 972 0.6× 358 0.7× 204 0.7× 359 1.2× 316 1.2× 38 1.8k
Nicolas Chenouard France 17 1.1k 0.7× 491 0.9× 164 0.5× 71 0.2× 364 1.3× 35 2.3k
Vannary Meas‐Yedid France 24 834 0.5× 593 1.1× 193 0.6× 147 0.5× 386 1.4× 47 2.6k
Beth A. Cimini United States 16 3.0k 1.9× 1.1k 2.1× 183 0.6× 99 0.3× 409 1.5× 44 4.6k

Countries citing papers authored by Auguste Genovesio

Since Specialization
Citations

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

Fields of papers citing papers by Auguste Genovesio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Auguste Genovesio

This figure shows the co-authorship network connecting the top 25 collaborators of Auguste Genovesio. A scholar is included among the top collaborators of Auguste Genovesio 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 Auguste Genovesio. Auguste Genovesio 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.
Bardes, Adrien, et al.. (2024). Exploring self-supervised learning biases for microscopy image representation. SHILAP Revista de lepidopterología. 4. e12–e12.
2.
Yang, Xiaohong, Agnès Groisillier, Chris Bowler, et al.. (2023). The model diatom Phaeodactylum tricornutum provides insights into the diversity and function of microeukaryotic DNA methyltransferases. Communications Biology. 6(1). 253–253. 10 indexed citations
3.
Weil, Dominique, et al.. (2023). Evolution is not Uniform Along Coding Sequences. Molecular Biology and Evolution. 40(3). 8 indexed citations
4.
Franco, Cláudio A., et al.. (2023). Cell painting transfer increases screening hit rate. SHILAP Revista de lepidopterología. 3. e4–e4. 3 indexed citations
5.
Zhao, Xue, Achal Rastogi, Ouardia Aït-Mohamed, et al.. (2020). Genome wide natural variation of H3K27me3 selectively marks genes predicted to be important for cell differentiation in Phaeodactylum tricornutum. New Phytologist. 229(6). 3208–3220. 15 indexed citations
6.
Noël, Benoît, et al.. (2020). Coordination of transcriptional and translational regulations in human epithelial cells infected by Listeria monocytogenes. RNA Biology. 17(10). 1492–1507. 4 indexed citations
7.
Chaigne, Agathe, Gaëlle Letort, Marion Manil-Ségalen, et al.. (2020). Artificially decreasing cortical tension generates aneuploidy in mouse oocytes. Nature Communications. 11(1). 1649–1649. 26 indexed citations
8.
Bahin, Mathieu, Benoît Noël, Valentine Murigneux, et al.. (2019). ALFA: annotation landscape for aligned reads. BMC Genomics. 20(1). 250–250. 7 indexed citations
9.
Almonacid, Maria, Adel Al Jord, Stephany El‐Hayek, et al.. (2019). Active Fluctuations of the Nuclear Envelope Shape the Transcriptional Dynamics in Oocytes. Developmental Cell. 51(2). 145–157.e10. 39 indexed citations
10.
Berrabah, Wahiba, et al.. (2018). High‐Throughput Optical Mapping of Replicating DNA. Small Methods. 2(9). 21 indexed citations
11.
Jord, Adel Al, ASM Shihavuddin, Marion Faucourt, et al.. (2017). Calibrated mitotic oscillator drives motile ciliogenesis. Science. 358(6364). 803–806. 58 indexed citations
12.
Lombardot, Benoît, et al.. (2015). High-Throughput In Vivo Genotoxicity Testing: An Automated Readout System for the Somatic Mutation and Recombination Test (SMART). PLoS ONE. 10(4). e0121287–e0121287. 14 indexed citations
13.
Ljosa, Vebjorn, Peter D. Caie, Rob ter Horst, et al.. (2013). Comparison of Methods for Image-Based Profiling of Cellular Morphological Responses to Small-Molecule Treatment. SLAS DISCOVERY. 18(10). 1321–1329. 119 indexed citations
14.
Hansen, Michael A. E., et al.. (2012). An Image-Based Drug Susceptibility Assay Targeting the Placental Sequestration of Plasmodium falciparum-Infected Erythrocytes. PLoS ONE. 7(8). e41765–e41765. 1 indexed citations
15.
16.
Genovesio, Auguste, Miriam A. Giardini, Yong‐Jun Kwon, et al.. (2011). Visual Genome-Wide RNAi Screening to Identify Human Host Factors Required for Trypanosoma cruzi Infection. PLoS ONE. 6(5). e19733–e19733. 26 indexed citations
17.
Siqueira-Neto, Jair L., Ok‐Ryul Song, Jeong‐Hun Sohn, et al.. (2010). Antileishmanial High-Throughput Drug Screening Reveals Drug Candidates with New Scaffolds. PLoS neglected tropical diseases. 4(5). e675–e675. 127 indexed citations
18.
Contreras-Domínguez, Monica, et al.. (2010). A modified fluorescence in situ hybridization protocol for Plasmodium falciparum greatly improves nuclear architecture conservation. Molecular and Biochemical Parasitology. 173(1). 48–52. 4 indexed citations
19.
Dorval, Thierry, et al.. (2007). Three‐dimensional point spread function model for line‐scanning confocal microscope with high‐aperture objective. Journal of Microscopy. 228(2). 132–138. 29 indexed citations
20.
Arhel, Nathalie J., Auguste Genovesio, Kyeong-Ae Kim, et al.. (2006). Quantitative four-dimensional tracking of cytoplasmic and nuclear HIV-1 complexes. Nature Methods. 3(10). 817–824. 225 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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