Benoît Thibault
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Oncology top 10%
- Cancer Cells and Metastasis
Papers in
- Oncology 9
- Cancer Cells and Metastasis 3
- Cancer-related Molecular Pathways 2
- Pancreatic and Hepatic Oncology Research 2
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- Cell death mechanisms and regulation 3
- PI3K/AKT/mTOR signaling in cancer 3
- Co-authors
- Bettina Couderc (12 shared papers)Jean‐Pierre Delord (7 shared papers)Magali Castells (4 shared papers)Julie Guillermet‐Guibert (9 shared papers)Elvire Pons‐Tostivint (2 shared papers)Eliane Mery-Lamarche (6 shared papers)Augustin Le Naour (4 shared papers)Jean Pierre Delord (5 shared papers)
- Journals
- Journal of Ovarian Research (3 papers)Oncotarget (2 papers)Scientific Reports (2 papers)Cancer Letters (2 papers)Cancers (2 papers)
- Partner nations
- FranceSwitzerlandCanada
In The Last Decade
Benoît Thibault
21 papers receiving 821 citations
Peers
Comparison fields: 5 of 74
- Cancer Research 167
- Oncology 280
- Reproductive Medicine 87
- Genetics 69
- Immunology 140
Countries citing papers authored by Benoît Thibault
This map shows the geographic impact of Benoît 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 Benoît Thibault with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Thibault more than expected).
Fields of papers citing papers by Benoît Thibault
This network shows the impact of papers produced by Benoît 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 Benoît Thibault. The network helps show where Benoît Thibault may publish in the future.
Co-authors
The 25 scholars most cited alongside Benoît 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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 246 | |
| 2 | 2013 | 152 | |
| 3 | 2017 | 111 | |
| 4 | 2013 | 55 | |
| 5 | 2018 | 52 | |
| 6 | 2019 | 46 | |
| 7 | 2012 | 36 | |
| 8 | 2023 | 21 | |
| 9 | 2017 | 20 | |
| 10 | 2015 | 20 | |
| 11 | 2014 | 19 | |
| 12 | 2017 | 12 | |
| 13 | 2021 | 11 | |
| 14 | 2018 | 9 | |
| 15 | 2018 | 9 | |
| 16 | 2025 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2021 | 2 | |
| 19 | 2015 | 1 | |
| 20 | 2020 | 1 |
About Benoît Thibault
Benoît Thibault is a scholar working on Oncology, Molecular Biology, Cancer Research, Immunology and Reproductive Medicine, having authored 22 papers that have together received 830 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Cancer Cells and Metastasis (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cancer Genomics and Diagnostics (2 papers), Cancer-related Molecular Pathways (2 papers), Immune cells in cancer (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Cancer Research (167 citations), Oncology (280 citations), Reproductive Medicine (87 citations), Genetics (69 citations) and Immunology (140 citations). Benoît Thibault has collaborated with scholars based in France, Switzerland and Canada. Frequent co-authors include Bettina Couderc, Jean‐Pierre Delord, Magali Castells, Julie Guillermet‐Guibert, Elvire Pons‐Tostivint, Eliane Mery-Lamarche, Augustin Le Naour, Jean Pierre Delord, J.P. Delord and Arash Rafii. Their work appears in journals such as Journal of Ovarian Research, Oncotarget, Scientific Reports, Cancer Letters and Cancers.
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.