Guillaume Thibault
- Structural Biology top 10%
- Advanced Electron Microscopy Techniques and Applications 8
- Biophysics top 5%
- Cell Image Analysis Techniques 8
- Advanced Fluorescence Microscopy Techniques 4
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers 5
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- Radiomics and Machine Learning in Medical Imaging 4
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- Single-cell and spatial transcriptomics 8
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- AI in cancer detection 7
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- Electron and X-Ray Spectroscopy Techniques 6
- Co-authors
- Young Hwan ChangJoe W. GrayTakahiro TsujikawaAmanda W. LundJulia FemelKoei ChinMotomi MoriJennifer Eng
- Cited by
- Structural BiologyBiophysicsOncology
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Guillaume Thibault
32 papers receiving 633 citations
Peers
Comparison fields: 5 of 82
- Structural Biology 22
- Biophysics 81
- Oncology 324
- Cancer Research 81
- Radiology, Nuclear Medicine and Imaging 117
Countries citing papers authored by Guillaume Thibault
This map shows the geographic impact of Guillaume Thibault'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 Guillaume Thibault with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillaume Thibault more than expected).
Fields of papers citing papers by Guillaume Thibault
This network shows the impact of papers produced by Guillaume Thibault. 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 Guillaume Thibault. The network helps show where Guillaume Thibault may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guillaume Thibault, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 3 | |
| 6 | 2021 | 20 | |
| 7 | 2020 | 24 | |
| 8 | 2020 | 2 | |
| 9 | 2020 | 15 | |
| 10 | 2020 | 5 | |
| 11 | 2020 | 25 | |
| 12 | 2020 | 22 | |
| 13 | 2019 | 21 | |
| 14 | 2019 | 1 | |
| 15 | 2019 | 29 | |
| 16 | 2019 | 192 | |
| 17 | 2018 | 126 | |
| 18 | 2018 | 0 | |
| 19 | 2017 | 12 | |
| 20 | 2017 | 53 |
About Guillaume Thibault
Guillaume Thibault is a scholar working on Structural Biology, Biophysics and Surfaces, Coatings and Films, having authored 33 papers that have together received 640 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (8 papers), Cell Image Analysis Techniques (8 papers), Advanced Electron Microscopy Techniques and Applications (8 papers), AI in cancer detection (7 papers), Electron and X-Ray Spectroscopy Techniques (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). The work is most often cited by research in Structural Biology (22 citations), Biophysics (81 citations) and Oncology (324 citations). Guillaume Thibault has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Young Hwan Chang, Joe W. Gray, Takahiro Tsujikawa, Amanda W. Lund, Julia Femel, Koei Chin, Motomi Mori, Jennifer Eng, Christopher P. Loo and Ryan S. Lane. Their work appears in journals such as The Journal of Experimental Medicine, PLoS ONE and Cancer Research.
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.