Thierry Pécot

1.3k citations

34 papers · 502 indexed · h-index 13

Impact in

Biophysics top 5%
- Cell Image Analysis Techniques
Health Informatics

Papers in ⓘ

Biophysics 10
- Cell Image Analysis Techniques 10
- Advanced Fluorescence Microscopy Techniques 5
Health Informatics 2

Co-authors: Gustavo Leone (12 shared papers)Raghu Machiraju (9 shared papers)Kun Huang (8 shared papers)Michael C. Ostrowski (5 shared papers)Charles Kervrann (6 shared papers)Jean Salamero (5 shared papers)Raleigh D. Kladney (3 shared papers)Jérôme Boulanger (4 shared papers)
Journals: Toxicology (1 paper)Cell Reports (1 paper)Molecular & Cellular Proteomics (1 paper)IEEE Transactions on Image Processing (1 paper)Breast Cancer Research (1 paper)
Partner nations: United States France Canada

In The Last Decade

Thierry Pécot

29 papers receiving 495 citations

Peers

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-authors

The 25 scholars most cited alongside Thierry Pécot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thierry Pécot Line = papers co-authored together Thierry Pécot links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Atypical E2F Repressors and Activators Coordinate Placental Development Developmental Cell ·Madhu M. Ouseph, Jing Li, Hui-Zi Chen, Thierry Pécot, Pamela L. Wenzel, J. Thompson, Grant Comstock, Veda Chokshi, Morgan Byrne, Braxton Forde, Jean-Leon Chong, Kun Huang, Raghu Machiraju, Alain de Bruin, Gustavo Leone	2012	79
2	Redeployment of Myc and E2f1–3 drives Rb-deficient cell cycles Nature Cell Biology ·Huayang Liu, Xing Tang, Arunima Srivastava, Thierry Pécot, Piotr Daniel, Benjamin T. Hemmelgarn, Stephan Reyes, Nicholas Fackler, Amneet Bajwa, Raleigh D. Kladney, Christopher S. Koivisto, Zhong Chen, Qianben Wang, Kun Huang, Raghu Machiraju, Maria Teresa Sáenz-Robles, Paul G. Cantalupo, James M. Pipas, Gustavo Leone	2015	55
3	Two Distinct E2F Transcriptional Modules Drive Cell Cycles and Differentiation Cell Reports ·Maria C. Cuitiño, Thierry Pécot, Daokun Sun, Raleigh D. Kladney, Takayuki Okano‐Uchida, Neelam Shinde, Resham Saeed, Antonio Perez-Castro, Amy Webb, Tom Liu, Soo In Bae, Linda Clijsters, Nicholas G Selner, Vincenzo Coppola, Cynthia Timmers, Michael C. Ostrowski, Michele Pagano, Gustavo Leone	2019	44
4	E2f3 in tumor macrophages promotes lung metastasis Oncogene ·Prashant Trikha, Nidhi Sharma, Carolina Mejia Peña, Alejandro Reyes, Thierry Pécot, Safiya Khurshid, Maysoon Rawahneh, J Moffitt, J A Stephens, S. A. Fernandez, Michael C. Ostrowski, Gustavo Leone	2015	44
5	Identifying survival associated morphological features of triple negative breast cancer using multiple datasets Journal of the American Medical Informatics Association ·Chao Wang, Thierry Pécot, Debra L. Zynger, Raghu Machiraju, Charles L. Shapiro, Kun Huang	2013	36
6	Ets2 in Tumor Fibroblasts Promotes Angiogenesis in Breast Cancer PLoS ONE ·Julie A. Wallace, Fu Li, Subhasree Balakrishnan, Carmen Z. Cantemir-Stone, Thierry Pécot, Chelsea K. Martin, Raleigh D. Kladney, Sudarshana M. Sharma, Anthony J. Trimboli, Soledad Fernández, Lianbo Yu, Thomas J. Rosol, Paul C. Stromberg, Robert Lesurf, Michael Hallett, Morag Park, Gustavo Leone, Michael C. Ostrowski	2013	29
7	Deep Learning Methodologies Applied to Digital Pathology in Prostate Cancer: A Systematic Review Diagnostics ·Noémie Rabilloud, Pierre Allaume, Oscar Acosta, R. de Crevoisier, Raphaël Bourgade, Delphine Loussouarn, Nathalie Rioux‐Leclercq, Z. Khene, Romain Mathiéu, Karim Bensalah, Thierry Pécot, Solène‐Florence Kammerer‐Jacquet	2023	22
8	Deep Learning for Detecting BRCA Mutations in High-Grade Ovarian Cancer Based on an Innovative Tumor Segmentation Method From Whole Slide Images Modern Pathology ·Raphaël Bourgade, Noémie Rabilloud, Tanguy Perennec, Thierry Pécot, Céline Garrec, Alexis F. Guédon, Capucine Delnatte, Stéphane Bezieau, Alexandra Lespagnol, Marie de Tayrac, Sébastien Henno, Christine Sagan, Claire Toquet, Jean‐François Mosnier, Solène‐Florence Kammerer‐Jacquet, Delphine Loussouarn	2023	19
9	Background Fluorescence Estimation and Vesicle Segmentation in Live Cell Imaging With Conditional Random Fields IEEE Transactions on Image Processing ·Thierry Pécot, Patrick Bouthémy, Jérôme Boulanger, Anatole Chessel, Sabine Bardin, Jean Salamero, Charles Kervrann	2014	18
10	A quantitative approach for analyzing the spatio-temporal distribution of 3D intracellular events in fluorescence microscopy eLife ·Thierry Pécot, Zengzhen Liu, Jérôme Boulanger, Jean Salamero, Charles Kervrann	2018	16
11	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 ·Shaaron Ochoa-Rios, Ian P. O'Connor, Lindsey N. Kent, Julian M. Clouse, Yannis Hadjiyannis, Christopher S. Koivisto, Thierry Pécot, Peggi M. Angel, Richard R. Drake, Gustavo Leone, Anand S. Mehta, Don C. Rockey	2022	14
12	Actin grips: Circular actin-rich cytoskeletal structures that mediate the wrapping of polymeric microfibers by endothelial cells Biomaterials ·Desirée Jones, DoYoung Park, Mirela Anghelina, Thierry Pécot, Raghu Machiraju, Ruipeng Xue, John J. Lannutti, Jessica Thomas, Sara L. Cole, Leni Moldovan, Nicanor I. Moldovan	2015	13
13	Targeting the KRAS α4-α5 allosteric interface inhibits pancreatic cancer tumorigenesis Small GTPases ·Imran Khan, Catherine Marelia-Bennet, Julia E. Lefler, Mariyam Zuberi, Eric Denbaum, Akiko Koide, Dean M. Connor, Ann‐Marie Broome, Thierry Pécot, Cynthia Timmers, Michael C. Ostrowski, Shohei Koide, John P. O’Bryan	2021	13
14	Deep learning provides high accuracy in automated chondrocyte viability assessment in articular cartilage using nonlinear optical microscopy Biomedical Optics Express ·Xun Chen, Yang Li, Nicole Wyman, Zheng Zhang, Hongming Fan, Michael Truong Le, Steven Gannon, Chelsea Rose, Zhao Zhang, Jeremy Mercuri, Hai Yao, Bruce Z. Gao, Shane K. Woolf, Thierry Pécot, Tong Ye	2021	12
15	Artificial Intelligence in Predicting Microsatellite Instability and KRAS, BRAF Mutations from Whole-Slide Images in Colorectal Cancer: A Systematic Review Diagnostics ·Theo Guitton, Pierre Allaume, Noémie Rabilloud, (unknown), Sébastien Henno, Bruno Turlin, Marie-Dominique Galibert-Anne, Astrid Lièvre, Alexandra Lespagnol, Thierry Pécot, Solène‐Florence Kammerer‐Jacquet	2023	11
16	Artificial Intelligence-Based Opportunities in Liver Pathology—A Systematic Review Diagnostics ·Pierre Allaume, Noémie Rabilloud, Bruno Turlin, Edouard Bardou‐Jacquet, Olivier Loréal, Julien Caldéraro, Z. Khene, Oscar Acosta, R. de Crevoisier, (unknown), Thierry Pécot, Solène‐Florence Kammerer‐Jacquet	2023	11
17	Identifying Nuclear Phenotypes Using Semi-supervised Metric Learning Lecture notes in computer science ·Shantanu Singh, Firdaus Janoos, Thierry Pécot, Enrico Caserta, Gustavo Leone, Jens Rittscher, Raghu Machiraju	2011	10
18	Non-parametric Population Analysis of Cellular Phenotypes Lecture notes in computer science ·Shantanu Singh, Firdaus Janoos, Thierry Pécot, Enrico Caserta, Kun Huang, Jens Rittscher, Gustavo Leone, Raghu Machiraju	2011	8
19	A signal processing approach for enriched region detection in RNA polymerase II ChIP-seq data BMC Bioinformatics ·Zhi Han, Lü Tian, Thierry Pécot, Tim H.‐M. Huang, Raghu Machiraju, Kun Huang	2012	7
20	Deep learning tools and modeling to estimate the temporal expression of cell cycle proteins from 2D still images PLoS Computational Biology ·Thierry Pécot, Maria C. Cuitiño, Roger H. Johnson, Cynthia Timmers, Gustavo Leone	2022	7

About Thierry Pécot

Thierry Pécot is a scholar working on Biophysics, Health Informatics, Aging, Media Technology and Cell Biology, having authored 34 papers that have together received 502 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (10 papers), AI in cancer detection (6 papers), Cancer-related Molecular Pathways (5 papers), Advanced Fluorescence Microscopy Techniques (5 papers), Image Processing Techniques and Applications (4 papers), Cellular Mechanics and Interactions (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Biophysics (67 citations), Health Informatics (9 citations), Cancer Research (100 citations), Oncology (131 citations) and Molecular Biology (262 citations). Thierry Pécot has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Gustavo Leone, Raghu Machiraju, Kun Huang, Michael C. Ostrowski, Charles Kervrann, Jean Salamero, Raleigh D. Kladney, Jérôme Boulanger, Charles L. Shapiro and Chao Wang. Their work appears in journals such as Toxicology, Cell Reports, Molecular & Cellular Proteomics, IEEE Transactions on Image Processing and Breast Cancer Research.

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