Fabrice Chrétien
- Molecular Biology top 2%
- Epidemiology top 2%
- Infectious Diseases top 1%
- Genetics top 1%
- Surgery top 5%
- Co-authors
- Bénédicte ChazaudShahragim TajbakhshRomain K. GherardiMadly BrigitteTarek SharsharBarbara Gayraud-MorelFrançoise DromerFrançois‐Jérôme Authier
- Topics
- Muscle Physiology and Disorders (26 papers)Glioma Diagnosis and Treatment (19 papers)Mesenchymal stem cell research (10 papers)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Fabrice Chrétien
101 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 2.7k
- Epidemiology 1.2k
- Infectious Diseases 1.1k
- Genetics 949
- Surgery 917
Countries citing papers authored by Fabrice Chrétien
This map shows the geographic impact of Fabrice Chrétien'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 Fabrice Chrétien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabrice Chrétien more than expected).
Fields of papers citing papers by Fabrice Chrétien
This network shows the impact of papers produced by Fabrice Chrétien. 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 Fabrice Chrétien. The network helps show where Fabrice Chrétien may publish in the future.
Co-authorship network of co-authors of Fabrice Chrétien
This figure shows the co-authorship network connecting the top 25 collaborators of Fabrice Chrétien. A scholar is included among the top collaborators of Fabrice Chrétien 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 Fabrice Chrétien. Fabrice Chrétien is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 20 | |
| 4 | 1 | |
| 5 | 164 | |
| 6 | 20 | |
| 7 | 19 | |
| 8 | 73 | |
| 9 | 94 | |
| 10 | 56 | |
| 11 | 18 | |
| 12 | 162 | |
| 13 | 13 | |
| 14 | 69 | |
| 15 | 3 | |
| 16 | 55 | |
| 17 | A Mouse Model for Chikungunya: Young Age and Inefficient Type-I Interferon Signaling Are Risk Factors for Severe Diseasebreakdown → | 486 |
| 18 | 12 | |
| 19 | Muscle Satellite Cells and Endothelial Cells: Close Neighbors and Privileged Partnersbreakdown → | 512 |
| 20 | 182 |
About Fabrice Chrétien
Fabrice Chrétien is a scholar working on Genetics, Critical Care and Intensive Care Medicine and Neurology, having authored 103 papers that have together received 6.3k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (26 papers), Glioma Diagnosis and Treatment (19 papers) and Mesenchymal stem cell research (10 papers). The work is most often cited by research in Genetics (949 citations), Critical Care and Intensive Care Medicine (382 citations) and Neurology (556 citations). Fabrice Chrétien has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Bénédicte Chazaud, Shahragim Tajbakhsh, Romain K. Gherardi, Madly Brigitte, Tarek Sharshar, Barbara Gayraud-Morel, Françoise Dromer, François‐Jérôme Authier, Rana Abou-Khalil and Pierre Rocheteau. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.
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.