Benoît Lombardot

579 total citations
11 papers, 312 citations indexed

About

Benoît Lombardot is a scholar working on Molecular Biology, Biophysics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Benoît Lombardot has authored 11 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Biophysics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Benoît Lombardot's work include Cell Image Analysis Techniques (5 papers), Single-cell and spatial transcriptomics (2 papers) and Advanced Vision and Imaging (2 papers). Benoît Lombardot is often cited by papers focused on Cell Image Analysis Techniques (5 papers), Single-cell and spatial transcriptomics (2 papers) and Advanced Vision and Imaging (2 papers). Benoît Lombardot collaborates with scholars based in France, Germany and Spain. Benoît Lombardot's co-authors include Manfred W. Kilimann, Nereo Kalebic, Barbara K. Stepien, Anna Shevchenko, Wieland Β. Huttner, Marta Florio, Michaela Wilsch‐Bräuninger, Katherine R. Long, Barbara Langen and Pauline Wimberger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Development.

In The Last Decade

Benoît Lombardot

11 papers receiving 310 citations

Peers

Benoît Lombardot
Darshan Sapkota United States
Eugenia M. Khorosheva United States
Fritz Buck Germany
Lerna Uzasci United States
Laura Lee United States
Mary Ellen Pusateri United States
Darshan Sapkota United States
Benoît Lombardot
Citations per year, relative to Benoît Lombardot Benoît Lombardot (= 1×) peers Darshan Sapkota

Countries citing papers authored by Benoît Lombardot

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Lombardot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Lombardot

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

All Works

11 of 11 papers shown
1.
Pastor-Escuredo, David, Benoît Lombardot, Thierry Savy, et al.. (2025). Unsupervised spatiotemporal classification of deformation patterns of embryonic tissues matches their fate map. iScience. 28(3). 111753–111753. 1 indexed citations
2.
Grasskamp, Andreas T., Benoît Lombardot, Jan S. Schuhmacher, et al.. (2020). Live-cell lipid biochemistry reveals a role of diacylglycerol side-chain composition for cellular lipid dynamics and protein affinities. Proceedings of the National Academy of Sciences. 117(14). 7729–7738. 50 indexed citations
3.
Kalebic, Nereo, Carlotta Gilardi, Barbara K. Stepien, et al.. (2019). Neocortical Expansion Due to Increased Proliferation of Basal Progenitors Is Linked to Changes in Their Morphology. Cell stem cell. 24(4). 535–550.e9. 100 indexed citations
4.
Boland, Sebastian, Sider Penkov, Júlio L. Sampaio, et al.. (2016). NAD+ Is a Food Component That Promotes Exit from Dauer Diapause in Caenorhabditis elegans. PLoS ONE. 11(12). e0167208–e0167208. 16 indexed citations
5.
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
6.
Stapel, L. Carine, Benoît Lombardot, Coleman Broaddus, et al.. (2015). Automated detection and quantification of single RNAs at cellular resolution in zebrafish embryos. Development. 143(3). 540–6. 27 indexed citations
7.
Cruz, Deu John M., Joo Hwan No, Benoît Lombardot, et al.. (2013). Identification of Novel Compounds Inhibiting Chikungunya Virus-Induced Cell Death by High Throughput Screening of a Kinase Inhibitor Library. PLoS neglected tropical diseases. 7(10). e2471–e2471. 60 indexed citations
8.
Luengo-Oroz, Miguel, David Pastor-Escuredo, Carlos Castro‐González, et al.. (2012). <formula formulatype="inline"><tex Notation="TeX">$3D+t$</tex></formula> Morphological Processing: Applications to Embryogenesis Image Analysis. IEEE Transactions on Image Processing. 21(8). 3518–3530. 14 indexed citations
9.
Faure, Emmanuel, Carla Taramasco, Jacques Demongeot, et al.. (2010). Global Strategy of Active Machine Learning for Complex Systems: Embryogenesis Application on Cell Division Detection. 5367. 802–809. 1 indexed citations
10.
Luengo-Oroz, Miguel, Benoît Lombardot, Louise Duloquin, et al.. (2009). Cell tracking in fluorescence images of embryogenesis processes with morphological reconstruction by 4D-tubular structuring elements. PubMed. 58. 970–973. 6 indexed citations
11.
Lombardot, Benoît, B Rizzi, Federico Veronesi, et al.. (2007). Cells tracking in a live zebrafish embryo. Conference proceedings. 2007. 1631–1634. 23 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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