Luc Teyton
- Immunology top 0.02%
- Immune Cell Function and Interaction 121
- T-cell and B-cell Immunology 98
- Immunotherapy and Immune Responses 38
- Immune Response and Inflammation 9
- Oncology top 1%
- CAR-T cell therapy research 12
- Virology top 2%
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- Monoclonal and Polyclonal Antibodies Research 25
- Hematology top 2%
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- Diabetes and associated disorders 25
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- Pancreatic function and diabetes 10
- Co-authors
- Albert BendelacPaul B. SavageIan A. WilsonK. Christopher GarcíaKamel BenlaghaPer A. PetersonMichael B. A. OldstoneMassimo Degano
- Cited by
- ImmunologyOncologyVirology
- Journals
- The Journal of Immunology (15 papers)The Journal of Experimental Medicine (15 papers)Immunity (10 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Luc Teyton
157 papers receiving 17.9k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Immunology 14.9k
- Oncology 2.7k
- Virology 429
- Radiology, Nuclear Medicine and Imaging 1.5k
- Hematology 609
Countries citing papers authored by Luc Teyton
This map shows the geographic impact of Luc Teyton'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 Luc Teyton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luc Teyton more than expected).
Fields of papers citing papers by Luc Teyton
This network shows the impact of papers produced by Luc Teyton. 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 Luc Teyton. The network helps show where Luc Teyton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Luc Teyton, 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 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 19 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 52 | |
| 7 | 2020 | 24 | |
| 8 | 2018 | 22 | |
| 9 | 2010 | 166 | |
| 10 | Novel functional roles for JAML and CAR in epithelial {gamma}{delta} T cell-specific costimulation | 2009 | 1 |
| 11 | 2009 | 1 | |
| 12 | Lysosomal Glycosphingolipid Recognition by NKT Cellsbreakdown → | 2004 | 780 |
| 13 | 2003 | 263 | |
| 14 | 2003 | 75 | |
| 15 | 2003 | 76 | |
| 16 | 2003 | 45 | |
| 17 | 2003 | 43 | |
| 18 | 2002 | 10 | |
| 19 | 2002 | 65 | |
| 20 | 2000 | 110 |
About Luc Teyton
Luc Teyton is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 160 papers that have together received 18.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (121 papers), T-cell and B-cell Immunology (98 papers), Immunotherapy and Immune Responses (38 papers), Diabetes and associated disorders (25 papers), Monoclonal and Polyclonal Antibodies Research (25 papers), CAR-T cell therapy research (12 papers), Pancreatic function and diabetes (10 papers) and Immune Response and Inflammation (9 papers). The work is most often cited by research in Immunology (14.9k citations), Oncology (2.7k citations) and Virology (429 citations). Luc Teyton has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Albert Bendelac, Paul B. Savage, Ian A. Wilson, K. Christopher García, Kamel Benlagha, Per A. Peterson, Michael B. A. Oldstone, Massimo Degano, Anders Brunmark and Michael R. Jackson. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Immunity, Science and Journal of Molecular Biology.
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.