Christine Gouarin
- Immunology top 5%
- Genetics top 5%
- Surgery
- Molecular Biology
- Oncology
- Co-authors
- Jean‐François BachAndré HerbelinLucienne ChatenoudMarie‐Alexandra AlyanakianYasuhiko KoezukaMaria Leite‐de‐MoraesAgathe HamegJean‐Marc Gombert
- Topics
- T-cell and B-cell Immunology (6 papers)Immune Cell Function and Interaction (6 papers)Diabetes and associated disorders (3 papers)
- Partner nations
- FranceJapanUnited States
In The Last Decade
Christine Gouarin
10 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Immunology 875
- Genetics 352
- Surgery 128
- Molecular Biology 115
- Oncology 97
Countries citing papers authored by Christine Gouarin
This map shows the geographic impact of Christine Gouarin'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 Christine Gouarin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine Gouarin more than expected).
Fields of papers citing papers by Christine Gouarin
This network shows the impact of papers produced by Christine Gouarin. 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 Christine Gouarin. The network helps show where Christine Gouarin may publish in the future.
Co-authorship network of co-authors of Christine Gouarin
This figure shows the co-authorship network connecting the top 25 collaborators of Christine Gouarin. A scholar is included among the top collaborators of Christine Gouarin 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 Christine Gouarin. Christine Gouarin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Transforming growth factor-beta and natural killer T-cells are involved in the protective effect of a bacterial extract on type 1 diabetes. | 69 |
| 2 | 65 | |
| 3 | 181 | |
| 4 | 90 | |
| 5 | Activation of natural killer T cells by α-galactosylceramide treatment prevents the onset and recurrence of autoimmune Type 1 diabetesbreakdown → | 512 |
| 6 | 96 | |
| 7 | 6 | |
| 8 | 42 | |
| 9 | Anti-GBM disease: predictive value of clinical, histological and serological data. | 68 |
| 10 | Antineutrophil cytoplasm antibodies: diversity and clinical applications. | 2 |
About Christine Gouarin
Christine Gouarin is a scholar working on Immunology, Emergency Medical Services and Pharmacy, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers) and Diabetes and associated disorders (3 papers). The work is most often cited by research in Immunology (875 citations), Genetics (352 citations) and Emergency Medical Services (44 citations). Christine Gouarin has collaborated with scholars based in France, Japan and United States. Frequent co-authors include Jean‐François Bach, André Herbelin, Lucienne Chatenoud, Marie‐Alexandra Alyanakian, Yasuhiko Koezuka, Maria Leite‐de‐Moraes, Agathe Hameg, Jean‐Marc Gombert, Corinne Garcia and Sylvaine You. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and The Journal of Immunology.
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.