Thierry Pécot
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
-
- Epigenetics and DNA Methylation 3
- Gene expression and cancer classification 3
- Biophysics 10
- Cell Image Analysis Techniques 10
- Advanced Fluorescence Microscopy Techniques 5
- Co-authors
- Gustavo Leone (12 shared papers)Raghu Machiraju (9 shared papers)Kun Huang (8 shared papers)Jean Salamero (5 shared papers)Michael C. Ostrowski (5 shared papers)Charles Kervrann (6 shared papers)Jérôme Boulanger (4 shared papers)Raleigh D. Kladney (3 shared papers)
- Journals
- Oncogene (1 paper)Breast Cancer Research (1 paper)Scientific Data (1 paper)Multiscale Modeling and Simulation (1 paper)Molecular & Cellular Proteomics (1 paper)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Thierry Pécot
30 papers receiving 522 citations
Peers
Comparison fields: 5 of 74
- Biophysics 71
- Health Informatics 9
- Cancer Research 87
- Oncology 121
- Molecular Biology 254
Countries citing papers authored by Thierry Pécot
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
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.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 85 | |
| 2 | 2015 | 56 | |
| 3 | 2015 | 46 | |
| 4 | 2019 | 45 | |
| 5 | 2013 | 38 | |
| 6 | 2013 | 31 | |
| 7 | 2014 | 24 | |
| 8 | 2023 | 22 | |
| 9 | 2023 | 21 | |
| 10 | 2018 | 17 | |
| 11 | 2022 | 17 | |
| 12 | 2023 | 14 | |
| 13 | 2015 | 13 | |
| 14 | 2021 | 13 | |
| 15 | 2021 | 12 | |
| 16 | 2023 | 11 | |
| 17 | 2011 | 9 | |
| 18 | 2011 | 8 | |
| 19 | 2012 | 7 | |
| 20 | 2022 | 7 |
About Thierry Pécot
Thierry Pécot is a scholar working on Molecular Biology, Biophysics, Oncology, Cell Biology and Artificial Intelligence, having authored 35 papers that have together received 533 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (10 papers), Advanced Fluorescence Microscopy Techniques (5 papers), Image Processing Techniques and Applications (4 papers), AI in cancer detection (4 papers), Cancer-related Molecular Pathways (4 papers), Cellular Mechanics and Interactions (4 papers), Epigenetics and DNA Methylation (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Biophysics (71 citations), Health Informatics (9 citations), Cancer Research (87 citations), Oncology (121 citations) and Molecular Biology (254 citations). Thierry Pécot has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Gustavo Leone, Raghu Machiraju, Kun Huang, Jean Salamero, Michael C. Ostrowski, Charles Kervrann, Jérôme Boulanger, Raleigh D. Kladney, Alain de Bruin and Chao Wang. Their work appears in journals such as Oncogene, Breast Cancer Research, Scientific Data, Multiscale Modeling and Simulation and Molecular & Cellular Proteomics.
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.