Thierry Pécot

1.3k total citations
34 papers, 502 citations indexed

About

Thierry Pécot is a scholar working on Molecular Biology, Biophysics and Oncology. According to data from OpenAlex, Thierry Pécot has authored 34 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Biophysics and 9 papers in Oncology. Recurrent topics in Thierry Pécot's work include Cell Image Analysis Techniques (10 papers), AI in cancer detection (6 papers) and Advanced Fluorescence Microscopy Techniques (5 papers). Thierry Pécot is often cited by papers focused on Cell Image Analysis Techniques (10 papers), AI in cancer detection (6 papers) and Advanced Fluorescence Microscopy Techniques (5 papers). Thierry Pécot collaborates with scholars based in United States, France and Canada. Thierry Pécot's co-authors include Gustavo Leone, Raghu Machiraju, Kun Huang, Michael C. Ostrowski, Charles Kervrann, Jean Salamero, Raleigh D. Kladney, Jérôme Boulanger, Chao Wang and Debra L. Zynger and has published in prestigious journals such as PLoS ONE, Nature Cell Biology and Biomaterials.

In The Last Decade

Thierry Pécot

29 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thierry Pécot United States	13	262	131	100	67	67	34	502
Gerald Fontenay United States	10	288 1.1×	143 1.1×	124 1.2×	77 1.1×	56 0.8×	17	479
Mervi Jumppanen Finland	4	211 0.8×	215 1.6×	180 1.8×	89 1.3×	46 0.7×	5	555
Kerri‐Ann Norton United States	13	239 0.9×	307 2.3×	115 1.1×	112 1.7×	37 0.6×	22	632
Nicole B. Johnson United States	9	140 0.5×	81 0.6×	93 0.9×	112 1.7×	133 2.0×	27	580
Clinton J.V. Campbell Canada	14	265 1.0×	126 1.0×	85 0.8×	184 2.7×	44 0.7×	31	809
Rikke Riber‐Hansen Denmark	15	268 1.0×	349 2.7×	125 1.3×	115 1.7×	74 1.1×	34	654
Laura M Drogowski United States	8	135 0.5×	165 1.3×	94 0.9×	97 1.4×	37 0.6×	9	361
Gillian O’Hurley Ireland	10	198 0.8×	68 0.5×	67 0.7×	50 0.7×	25 0.4×	15	369
Harry Ho Man Ng Singapore	4	220 0.8×	170 1.3×	52 0.5×	32 0.5×	148 2.2×	8	536
Henrik Failmezger Germany	9	337 1.3×	122 0.9×	117 1.2×	211 3.1×	116 1.7×	15	671

Countries citing papers authored by Thierry Pécot

Since Specialization

Citations

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

Fields of papers citing papers by Thierry Pécot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thierry Pécot

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

All Works

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20 of 20 papers shown

Pinot, Mathieu, et al.. (2025). Regulation of cell shape and mechanics by Rho GEFs and GAPs in a proliferative epithelial tissue. Journal of Cell Science. 138(19).

Mocaer, Karel, Claire Heichette, Laurence Duchesne, et al.. (2025). Optimized expansion microscopy reveals species-specific spindle microtubule organization in Xenopus egg extracts. Molecular Biology of the Cell. 36(6). ar73–ar73.

Gaber, Mohamed, Adam Wilson, Valerie Payne, et al.. (2025). Obesity increases DNA damage in the breast epithelium. Breast Cancer Research. 27(1). 11–11. 3 indexed citations

Rose, Sophie, Frédéric Ezan, Ludovic Huot, et al.. (2025). Computerized predictive approaches of genotoxicity and mutagenesis in 3D Hepoid of normal and transformed human hepatocytes. Toxicology. 517. 154242–154242.

Uguen, Arnaud, Thierry Pécot, Sophie Prévôt, et al.. (2024). Enquête nationale de la Société française de pathologie sur la recherche et l’utilisation de l’intelligence artificielle (IA) appliquée à la pathologie. Annales de Pathologie. 45(3). 224–232.

Pécot, Thierry, Céline Garrec, Alexis F. Guédon, et al.. (2023). Deep Learning for Detecting BRCA Mutations in High-Grade Ovarian Cancer Based on an Innovative Tumor Segmentation Method From Whole Slide Images. Modern Pathology. 36(11). 100304–100304. 19 indexed citations

Acosta, Oscar, R. de Crevoisier, Delphine Loussouarn, et al.. (2023). Deep Learning Methodologies Applied to Digital Pathology in Prostate Cancer: A Systematic Review. Diagnostics. 13(16). 2676–2676. 22 indexed citations

Pécot, Thierry, Nathalie Hinfray, Rémy Beaudouin, et al.. (2023). An end-to-end pipeline based on open source deep learning tools for reliable analysis of complex 3D images of ovaries. Development. 150(7). 6 indexed citations

Wu, Jinghai, Xin Liu, Julie W. Reeser, et al.. (2022). Stromal p53 Regulates Breast Cancer Development, the Immune Landscape, and Survival in an Oncogene-Specific Manner. Molecular Cancer Research. 20(8). 1233–1246. 5 indexed citations

10.

Kent, Lindsey N., Christopher S. Koivisto, Thierry Pécot, et al.. (2022). Imaging Mass Spectrometry Reveals Alterations in N-Linked Glycosylation That Are Associated With Histopathological Changes in Nonalcoholic Steatohepatitis in Mouse and Human. Molecular & Cellular Proteomics. 21(5). 100225–100225. 14 indexed citations

11.

Bouvrais, Hélène, et al.. (2021). The coordination of spindle‐positioning forces during the asymmetric division of the Caenorhabditis elegans zygote. EMBO Reports. 22(5). e50770–e50770. 5 indexed citations

12.

Chen, Xun, Yang Li, Zheng Zhang, et al.. (2021). Deep learning provides high accuracy in automated chondrocyte viability assessment in articular cartilage using nonlinear optical microscopy. Biomedical Optics Express. 12(5). 2759–2759. 12 indexed citations

13.

Tang, Xing, Huayang Liu, Arunima Srivastava, et al.. (2016). Transcriptome regulation and chromatin occupancy by E2F3 and MYC in mice. Scientific Data. 3(1). 160008–160008. 5 indexed citations

14.

Liu, Huayang, Xing Tang, Arunima Srivastava, et al.. (2015). Redeployment of Myc and E2f1–3 drives Rb-deficient cell cycles. Nature Cell Biology. 17(8). 1036–1048. 55 indexed citations

15.

Jones, Desirée, Mirela Anghelina, Thierry Pécot, et al.. (2015). Actin grips: Circular actin-rich cytoskeletal structures that mediate the wrapping of polymeric microfibers by endothelial cells. Biomaterials. 52. 395–406. 13 indexed citations

16.

Wang, Chao, Thierry Pécot, Debra L. Zynger, et al.. (2013). Identifying survival associated morphological features of triple negative breast cancer using multiple datasets. Journal of the American Medical Informatics Association. 20(4). 680–687. 36 indexed citations

17.

Ouseph, Madhu M., Jing Li, Hui-Zi Chen, et al.. (2012). Atypical E2F Repressors and Activators Coordinate Placental Development. Developmental Cell. 22(4). 849–862. 79 indexed citations

18.

Singh, Shantanu, Firdaus Janoos, Thierry Pécot, et al.. (2011). Non-parametric population analysis of cellular phenotypes. Lecture notes in computer science. 343–351. 3 indexed citations

19.

Singh, Shantanu, Firdaus Janoos, Thierry Pécot, et al.. (2011). Identifying Nuclear Phenotypes Using Semi-supervised Metric Learning. Lecture notes in computer science. 22. 398–410. 10 indexed citations

20.

Pécot, Thierry, Charles Kervrann, Sabine Bardin, Bruno Goud, & Jean Salamero. (2008). Patch-Based Markov Models for Event Detection in Fluorescence Bioimaging. Lecture notes in computer science. 11(Pt 2). 95–103. 3 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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