Carole Masurier
- Molecular Biology top 5%
- Genetics top 2%
- Immunology top 5%
- Cancer Research top 5%
- Oncology top 5%
- Co-authors
- P. VéronSylvie BoutinChristian LeborgneOlivier BenvénisteMarie MontusCaroline FlamentLaurence ZitvogelSebastián Amigorena
- Topics
- Virus-based gene therapy research (13 papers)Immunotherapy and Immune Responses (11 papers)RNA Interference and Gene Delivery (8 papers)
- Cited by
- ImmunologyCancer ResearchGenetics
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Carole Masurier
23 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Molecular Biology 2.0k
- Genetics 978
- Immunology 807
- Cancer Research 541
- Oncology 501
Countries citing papers authored by Carole Masurier
This map shows the geographic impact of Carole Masurier'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 Carole Masurier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carole Masurier more than expected).
Fields of papers citing papers by Carole Masurier
This network shows the impact of papers produced by Carole Masurier. 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 Carole Masurier. The network helps show where Carole Masurier may publish in the future.
Co-authorship network of co-authors of Carole Masurier
This figure shows the co-authorship network connecting the top 25 collaborators of Carole Masurier. A scholar is included among the top collaborators of Carole Masurier 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 Carole Masurier. Carole Masurier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 80 | |
| 2 | 12 | |
| 3 | 41 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 163 | |
| 7 | 13 | |
| 8 | 5 | |
| 9 | Prevalence of Serum IgG and Neutralizing Factors Against Adeno-Associated Virus (AAV) Types 1, 2, 5, 6, 8, and 9 in the Healthy Population: Implications for Gene Therapy Using AAV Vectorsbreakdown → | 753 |
| 10 | 18 | |
| 11 | 2 | |
| 12 | 41 | |
| 13 | 12 | |
| 14 | 26 | |
| 15 | Tumor-derived exosomes are a source of shared tumor rejection antigens for CTL cross-primingbreakdown → | 1347 |
| 16 | 6 | |
| 17 | 93 | |
| 18 | 30 | |
| 19 | 2 | |
| 20 | [Approach of cellular mechanisms of glomerulosclerosis in a model of accelerated aging the obese Zucker rat]. | 3 |
About Carole Masurier
Carole Masurier is a scholar working on Immunology, Genetics and Virology, having authored 23 papers that have together received 2.8k indexed citations. Recurring topics across this work include Virus-based gene therapy research (13 papers), Immunotherapy and Immune Responses (11 papers) and RNA Interference and Gene Delivery (8 papers). The work is most often cited by research in Immunology (807 citations), Cancer Research (541 citations) and Genetics (978 citations). Carole Masurier has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include P. Véron, Sylvie Boutin, Christian Leborgne, Olivier Benvéniste, Marie Montus, Caroline Flament, Laurence Zitvogel, Sebastián Amigorena, Graça Raposo and Clotilde Théry. Their work appears in journals such as Nature Medicine, The Journal of Immunology and PLoS ONE.
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.