Sylvie Darche
- Immunology top 1%
- Molecular Biology top 10%
- Epidemiology top 5%
- Parasitology top 1%
- Oncology top 10%
- Co-authors
- Philippe KourilskyChristophe PannetierMadeleine CochetArmanda CasrougeMargot ZöllerSylvie DelassusNathalie CourretIsabelle Tardieux
- Topics
- Immune Cell Function and Interaction (16 papers)T-cell and B-cell Immunology (10 papers)Toxoplasma gondii Research Studies (9 papers)
- Cited by
- ParasitologyImmunologyVirology
- Partner nations
- FranceUnited StatesJapan
In The Last Decade
Sylvie Darche
34 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Immunology 1.7k
- Molecular Biology 787
- Epidemiology 599
- Parasitology 542
- Oncology 310
Countries citing papers authored by Sylvie Darche
This map shows the geographic impact of Sylvie Darche'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 Sylvie Darche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvie Darche more than expected).
Fields of papers citing papers by Sylvie Darche
This network shows the impact of papers produced by Sylvie Darche. 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 Sylvie Darche. The network helps show where Sylvie Darche may publish in the future.
Co-authorship network of co-authors of Sylvie Darche
This figure shows the co-authorship network connecting the top 25 collaborators of Sylvie Darche. A scholar is included among the top collaborators of Sylvie Darche 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 Sylvie Darche. Sylvie Darche is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 57 | |
| 2 | 85 | |
| 3 | TLR4- and TLR2-mediated B cell responses control the clearance of the bacterial pathogen, Leptospira interrogans. | 5 |
| 4 | 100 | |
| 5 | 8 | |
| 6 | 85 | |
| 7 | 112 | |
| 8 | 106 | |
| 9 | TLR9 is required for the gut-associated lymphoid tissue response following oral infection of Toxoplasma gondii | 4 |
| 10 | 302 | |
| 11 | 64 | |
| 12 | NKT cells are critical for the initiation of an inflammatory bowel response against Toxoplasma gondii | 3 |
| 13 | 50 | |
| 14 | 140 | |
| 15 | 26 | |
| 16 | 103 | |
| 17 | 2 | |
| 18 | 20 | |
| 19 | 139 | |
| 20 | 14 |
About Sylvie Darche
Sylvie Darche is a scholar working on Parasitology, Immunology and Epidemiology, having authored 34 papers that have together received 3.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (10 papers) and Toxoplasma gondii Research Studies (9 papers). The work is most often cited by research in Parasitology (542 citations), Immunology (1.7k citations) and Virology (109 citations). Sylvie Darche has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Philippe Kourilsky, Christophe Pannetier, Madeleine Cochet, Armanda Casrouge, Margot Zöller, Sylvie Delassus, Nathalie Courret, Isabelle Tardieux, P. Sonigo and Geneviève Milon. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.