Julien Cherfils‐Vicini
- Immunology top 2%
- Oncology top 5%
- Molecular Biology
- Cancer Research top 10%
- Physiology top 2%
- Co-authors
- Isabelle CremerWolf H. FridmanCatherine Sautès‐FridmanDiane DamotteMarie‐Caroline Dieu‐NosjeanÉric GilsonPierre ValidireVincent Vieillard
- Topics
- Immune Cell Function and Interaction (9 papers)Immune Response and Inflammation (6 papers)Immune cells in cancer (5 papers)
- Cited by
- ImmunologyPhysiologyOncology
- Journals
- Journal of Clinical InvestigationNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- FranceUnited StatesMalaysia
In The Last Decade
Julien Cherfils‐Vicini
19 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Immunology 1.3k
- Oncology 556
- Molecular Biology 413
- Cancer Research 211
- Physiology 138
Countries citing papers authored by Julien Cherfils‐Vicini
This map shows the geographic impact of Julien Cherfils‐Vicini'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 Julien Cherfils‐Vicini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julien Cherfils‐Vicini more than expected).
Fields of papers citing papers by Julien Cherfils‐Vicini
This network shows the impact of papers produced by Julien Cherfils‐Vicini. 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 Julien Cherfils‐Vicini. The network helps show where Julien Cherfils‐Vicini may publish in the future.
Co-authorship network of co-authors of Julien Cherfils‐Vicini
This figure shows the co-authorship network connecting the top 25 collaborators of Julien Cherfils‐Vicini. A scholar is included among the top collaborators of Julien Cherfils‐Vicini 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 Julien Cherfils‐Vicini. Julien Cherfils‐Vicini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | Neutrophil extracellular traps formed during chemotherapy confer treatment resistance via TGF-β activationbreakdown → | 148 |
| 4 | 64 | |
| 5 | 14 | |
| 6 | 0 | |
| 7 | 9 | |
| 8 | 49 | |
| 9 | 11 | |
| 10 | 96 | |
| 11 | 88 | |
| 12 | 65 | |
| 13 | The metabolic checkpoint kinase mTOR is essential for IL-15 signaling during the development and activation of NK cellsbreakdown → | 462 |
| 14 | 6 | |
| 15 | 381 | |
| 16 | 91 | |
| 17 | 181 | |
| 18 | 4 | |
| 19 | 23 | |
| 20 | 55 |
About Julien Cherfils‐Vicini
Julien Cherfils‐Vicini is a scholar working on Immunology, Aging and Physiology, having authored 22 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), Immune Response and Inflammation (6 papers) and Immune cells in cancer (5 papers). The work is most often cited by research in Immunology (1.3k citations), Physiology (138 citations) and Oncology (556 citations). Julien Cherfils‐Vicini has collaborated with scholars based in France, United States and Malaysia. Frequent co-authors include Isabelle Cremer, Wolf H. Fridman, Catherine Sautès‐Fridman, Diane Damotte, Marie‐Caroline Dieu‐Nosjean, Éric Gilson, Pierre Validire, Vincent Vieillard, Éric Vivier and Marco Alifano. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.
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.