Lionel Apétoh

36.8k citations
107 papers · 17.5k indexed · 8 hit papers · h-index 52

Lionel Apétoh

106 papers receiving 17.3k citations

Hit Papers

Signalling strength determines proapop...376200620262012201950010001.5k2.0k2.5k

Peers

Lionel Apétoh
Comparison fields: 5 of 138
  • Immunology 10.9k
  • Oncology 8.6k
  • Physiology 615
  • Biological Psychiatry 319
  • Cancer Research 1.1k
Replace Paulo C. Rodrı́guez with:
Paulo C. Rodrı́guez United States
Mario P. Colombo Italy
Jonathan D. Powell United States
Vincenzo Bronte Italy
Suzanne Ostrand‐Rosenberg United States
Abhishek D. Garg Belgium
Erika L. Pearce United States
Augusto C. Ochoa United States
Jeffrey C. Rathmell United States
Karl Welte Germany
Lionel Apétoh relative to Paulo C. Rodrı́guez United States Paulo C. Rodrı́guez's profile →
Citations per field
00.5×1.5×1.8×
Paulo C. Rodrı́guez · 1×
Citations per year

Countries citing papers authored by Lionel Apétoh

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Lionel Apétoh, 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 Lionel Apétoh Line = papers co-authored together Lionel Apétoh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20257
3 202312
4 20239
5 202113
6 20216
7 20205
8 201969
9 201989
10 201748
11
Signalling strength determines proapoptotic functions of STINGbreakdown →
2017376
12 201768
13 201752
14 201620
15 2016213
16 201640
17 2015299
18 201347
19
5-Fluorouracil Selectively Kills Tumor-Associated Myeloid-Derived Suppressor Cells Resulting in Enhanced T Cell–Dependent Antitumor Immunitybreakdown →
2010969
20
Immunogenic chemotherapy: discovery of a critical protein through proteomic analyses of tumor cells.
200722

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), Immunotherapy and Immune Responses (39 papers), T-cell and B-cell Immunology (19 papers), Immune cells in cancer (13 papers), CAR-T cell therapy research (10 papers), Inflammasome and immune disorders (10 papers) and Phagocytosis and Immune Regulation (10 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.

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