Lionel Apétoh
- Immunology top 0.05%
- Oncology top 0.1%
- Molecular Biology top 1%
- Pulmonary and Respiratory Medicine top 1%
- Biomedical Engineering top 2%
- Co-authors
- François GhiringhelliLaurence ZitvogelGuido KroemerVijay K. KuchrooGrégoire MignotAntoine TesnièreSylvain LadoireAna C. Anderson
- Topics
- Immune Cell Function and Interaction (50 papers)Cancer Immunotherapy and Biomarkers (41 papers)Immunotherapy and Immune Responses (39 papers)
- Cited by
- ImmunologyOncologyPhysiology
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Medicine
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Lionel Apétoh
106 papers receiving 17.3k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Immunology 10.9k
- Oncology 8.6k
- Molecular Biology 4.4k
- Pulmonary and Respiratory Medicine 1.5k
- Biomedical Engineering 1.5k
Countries citing papers authored by Lionel Apétoh
This map shows the geographic impact of Lionel Apétoh'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 Lionel Apétoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lionel Apétoh more than expected).
Fields of papers citing papers by Lionel Apétoh
This network shows the impact of papers produced by Lionel Apétoh. 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 Lionel Apétoh. The network helps show where Lionel Apétoh may publish in the future.
Co-authorship network of co-authors of Lionel Apétoh
This figure shows the co-authorship network connecting the top 25 collaborators of Lionel Apétoh. A scholar is included among the top collaborators of Lionel Apétoh 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 Lionel Apétoh. Lionel Apétoh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 12 | |
| 4 | 9 | |
| 5 | 13 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 69 | |
| 9 | 89 | |
| 10 | 48 | |
| 11 | Signalling strength determines proapoptotic functions of STINGbreakdown → | 376 |
| 12 | 68 | |
| 13 | 52 | |
| 14 | 20 | |
| 15 | 213 | |
| 16 | 40 | |
| 17 | 299 | |
| 18 | 47 | |
| 19 | 5-Fluorouracil Selectively Kills Tumor-Associated Myeloid-Derived Suppressor Cells Resulting in Enhanced T Cell–Dependent Antitumor Immunitybreakdown → | 969 |
| 20 | Immunogenic chemotherapy: discovery of a critical protein through proteomic analyses of tumor cells. | 22 |
About Lionel Apétoh
Lionel Apétoh is a scholar working on Immunology, Oncology and Physiology, having authored 107 papers that have together received 17.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (50 papers), Cancer Immunotherapy and Biomarkers (41 papers) and Immunotherapy and Immune Responses (39 papers). The work is most often cited by research in Immunology (10.9k citations), Oncology (8.6k citations) and Physiology (615 citations). Lionel Apétoh has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include François Ghiringhelli, Laurence Zitvogel, Guido Kroemer, Vijay K. Kuchroo, Grégoire Mignot, Antoine Tesnière, Sylvain Ladoire, Ana C. Anderson, Theocharis Panaretakis and Kaori Sakuishi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.
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.