Fabien Crauste
- Molecular Biology
- Modeling and Simulation top 1%
- Immunology top 10%
- Public Health, Environmental and Occupational Health top 10%
- Hematology top 5%
- Co-authors
- Olivier GandrillonChristophe ArpinJacqueline MarvelMostafa AdimySimon GirelShigui RuanVitaly VolpertO. Angulo
- Topics
- Mathematical Biology Tumor Growth (16 papers)T-cell and B-cell Immunology (14 papers)Mathematical and Theoretical Epidemiology and Ecology Models (13 papers)
- Partner nations
- FranceRussiaUnited States
In The Last Decade
Fabien Crauste
49 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 303
- Modeling and Simulation 262
- Immunology 255
- Public Health, Environmental and Occupational Health 246
- Hematology 162
Countries citing papers authored by Fabien Crauste
This map shows the geographic impact of Fabien Crauste'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 Fabien Crauste with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabien Crauste more than expected).
Fields of papers citing papers by Fabien Crauste
This network shows the impact of papers produced by Fabien Crauste. 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 Fabien Crauste. The network helps show where Fabien Crauste may publish in the future.
Co-authorship network of co-authors of Fabien Crauste
This figure shows the co-authorship network connecting the top 25 collaborators of Fabien Crauste. A scholar is included among the top collaborators of Fabien Crauste 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 Fabien Crauste. Fabien Crauste 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 | 1 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 17 | |
| 6 | 11 | |
| 7 | 12 | |
| 8 | 6 | |
| 9 | Model-Based Assessment of the Role of Uneven Partitioning of Molecular Content on Heterogeneity and Regulation of Differentiation in CD8 T-Cell Immune Responsesbreakdown → | 352 |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 14 | |
| 13 | 9 | |
| 14 | 7 | |
| 15 | 16 | |
| 16 | 16 | |
| 17 | 23 | |
| 18 | 36 | |
| 19 | 16 | |
| 20 | 54 |
About Fabien Crauste
Fabien Crauste is a scholar working on Modeling and Simulation, Immunology and Hematology, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (16 papers), T-cell and B-cell Immunology (14 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (13 papers). The work is most often cited by research in Modeling and Simulation (262 citations), Hematology (162 citations) and Immunology (255 citations). Fabien Crauste has collaborated with scholars based in France, Russia and United States. Frequent co-authors include Olivier Gandrillon, Christophe Arpin, Jacqueline Marvel, Mostafa Adimy, Simon Girel, Shigui Ruan, Vitaly Volpert, O. Angulo, Hédi Soula and Marine Jacquier. Their work appears in journals such as PLoS ONE, PLoS Medicine and Frontiers in 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.