Sabine Charrier
- Genetics top 2%
- Virus-based gene therapy research 14
- Immunology top 5%
- Oncology top 5%
- CAR-T cell therapy research 11
- Cancer Treatment and Pharmacology 6
- Cancer Research top 10%
- Breast Cancer Treatment Studies 7
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation 4
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- RNA Interference and Gene Delivery 8
- CRISPR and Genetic Engineering 4
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- Breast Lesions and Carcinomas 4
- Co-authors
- Anne GalyWilliam VainchenkerAdrian J. ThrasherAxel SchambachJuan A. BuerenJ DauplatSusana NavarroUte Modlich
- Cited by
- GeneticsImmunologyOncology
- Journals
- Blood (5 papers)PLoS ONE (1 paper)American Journal of Physiology-Endocrinology and Metabolism (1 paper)
- Partner nations
- FranceGermanyUnited Kingdom
In The Last Decade
Sabine Charrier
36 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 94
- Genetics 755
- Immunology 432
- Oncology 529
- Cancer Research 233
- Hematology 167
Countries citing papers authored by Sabine Charrier
This map shows the geographic impact of Sabine Charrier'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 Sabine Charrier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabine Charrier more than expected).
Fields of papers citing papers by Sabine Charrier
This network shows the impact of papers produced by Sabine Charrier. 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 Sabine Charrier. The network helps show where Sabine Charrier may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sabine Charrier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 28 | |
| 2 | 2018 | 33 | |
| 3 | 2017 | 42 | |
| 4 | 2015 | 18 | |
| 5 | 2015 | 6 | |
| 6 | 2013 | 6 | |
| 7 | 2010 | 31 | |
| 8 | 2010 | 72 | |
| 9 | 2009 | 13 | |
| 10 | 2009 | 58 | |
| 11 | 2009 | 289 | |
| 12 | 2006 | 79 | |
| 13 | 2005 | 39 | |
| 14 | 2005 | 7 | |
| 15 | 2004 | 98 | |
| 16 | 2003 | 82 | |
| 17 | 2003 | 19 | |
| 18 | 2000 | 2 | |
| 19 | Chrono-pharmacocinétique du 5-fluoro-uracile dans le traitement des cancers colorectaux métastatiques et indicateurs de réponse métabolique | 1999 | 1 |
| 20 | 1998 | 4 |
About Sabine Charrier
Sabine Charrier is a scholar working on Oncology, Genetics and Cancer Research, having authored 38 papers that have together received 1.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (14 papers), CAR-T cell therapy research (11 papers), RNA Interference and Gene Delivery (8 papers), Breast Cancer Treatment Studies (7 papers), Cancer Treatment and Pharmacology (6 papers), CRISPR and Genetic Engineering (4 papers), Hematopoietic Stem Cell Transplantation (4 papers) and Breast Lesions and Carcinomas (4 papers). The work is most often cited by research in Genetics (755 citations), Immunology (432 citations) and Oncology (529 citations). Sabine Charrier has collaborated with scholars based in France, Germany and United Kingdom. Frequent co-authors include Anne Galy, William Vainchenker, Adrian J. Thrasher, Axel Schambach, Juan A. Bueren, J Dauplat, Susana Navarro, Ute Modlich, Daniela Zychlinski and Sabine Knoess. Their work appears in journals such as Blood, PLoS ONE and American Journal of Physiology-Endocrinology and Metabolism.
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.