Michel Gilliet
- Immunology top 0.05%
- Molecular Biology top 2%
- Dermatology top 0.05%
- Oncology top 0.5%
- Physiology top 1%
- Co-authors
- Yong-Jun LiuFrank O. NestléYong‐Jun LiuCurdin ConradRoberto LandeGünter BurgBernhard HomeyWei Cao
- Topics
- Immunotherapy and Immune Responses (40 papers)T-cell and B-cell Immunology (37 papers)Immune Response and Inflammation (25 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Michel Gilliet
108 papers receiving 18.0k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Immunology 14.4k
- Molecular Biology 3.7k
- Dermatology 3.4k
- Oncology 2.8k
- Physiology 2.1k
Countries citing papers authored by Michel Gilliet
This map shows the geographic impact of Michel Gilliet'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 Michel Gilliet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel Gilliet more than expected).
Fields of papers citing papers by Michel Gilliet
This network shows the impact of papers produced by Michel Gilliet. 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 Michel Gilliet. The network helps show where Michel Gilliet may publish in the future.
Co-authorship network of co-authors of Michel Gilliet
This figure shows the co-authorship network connecting the top 25 collaborators of Michel Gilliet. A scholar is included among the top collaborators of Michel Gilliet 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 Michel Gilliet. Michel Gilliet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 16 | |
| 4 | 11 | |
| 5 | 32 | |
| 6 | The cGAS–STING pathway drives type I IFN immunopathology in COVID-19breakdown → | 371 |
| 7 | 35 | |
| 8 | 2 | |
| 9 | 46 | |
| 10 | 17 | |
| 11 | 22 | |
| 12 | 128 | |
| 13 | 196 | |
| 14 | 108 | |
| 15 | 29 | |
| 16 | 251 | |
| 17 | Self-RNA–antimicrobial peptide complexes activate human dendritic cells through TLR7 and TLR8breakdown → | 560 |
| 18 | 112 | |
| 19 | Plasmacytoid dendritic cells prime IL-10–producing T regulatory cells by inducible costimulator ligandbreakdown → | 503 |
| 20 | Maladie de Caroli monolobaire droite. | 1 |
About Michel Gilliet
Michel Gilliet is a scholar working on Dermatology, Immunology and Microbiology, having authored 114 papers that have together received 18.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (40 papers), T-cell and B-cell Immunology (37 papers) and Immune Response and Inflammation (25 papers). The work is most often cited by research in Immunology (14.4k citations), Dermatology (3.4k citations) and Immunology and Allergy (1.5k citations). Michel Gilliet has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Yong-Jun Liu, Frank O. Nestlé, Yong‐Jun Liu, Curdin Conrad, Roberto Lande, Günter Burg, Bernhard Homey, Wei Cao, Reinhard Dummer and Josh Gregorio. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.