E Chabrol
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Virology top 10%
- HIV Research and Treatment
Papers in
-
- Glycosylation and Glycoproteins Research 7
- Protein purification and stability 2
-
- Immunotherapy and Immune Responses 6
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Co-authors
- Franck Fieschi (7 shared papers)Ieva Sutkevičiu̅tė (4 shared papers)Javier Rojo (4 shared papers)Anna Bernardi (4 shared papers)Pedro M. Nieto (3 shared papers)Michel Thépaut (4 shared papers)Jesús Angulo (2 shared papers)Norbert Varga (2 shared papers)
In The Last Decade
E Chabrol
14 papers receiving 598 citations
Peers
Comparison fields: 5 of 63
- Immunology 247
- Virology 47
- Molecular Biology 382
- Organic Chemistry 144
- Radiology, Nuclear Medicine and Imaging 90
Countries citing papers authored by E Chabrol
This map shows the geographic impact of E Chabrol'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 E Chabrol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E Chabrol more than expected).
Fields of papers citing papers by E Chabrol
This network shows the impact of papers produced by E Chabrol. 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 E Chabrol. The network helps show where E Chabrol may publish in the future.
Co-authors
The 25 scholars most cited alongside E Chabrol, 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 | 2019 | 92 | |
| 2 | 2013 | 72 | |
| 3 | 2011 | 63 | |
| 4 | 2014 | 61 | |
| 5 | 2015 | 60 | |
| 6 | 2017 | 56 | |
| 7 | 2011 | 55 | |
| 8 | 2014 | 48 | |
| 9 | 2012 | 42 | |
| 10 | 2019 | 15 | |
| 11 | 2019 | 14 | |
| 12 | 2007 | 12 | |
| 13 | 2015 | 12 | |
| 14 | 2021 | 3 | |
| 15 | [The dissociated action of aureomycin and other antibiotics in the treatment of liver cirrhosis]. | 2004 | 0 |
About E Chabrol
E Chabrol is a scholar working on Molecular Biology, Immunology, Virology, Radiology, Nuclear Medicine and Imaging and Organic Chemistry, having authored 15 papers that have together received 605 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (7 papers), Immunotherapy and Immune Responses (6 papers), HIV Research and Treatment (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Protein purification and stability (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and Carbohydrate Chemistry and Synthesis (2 papers). The work is most often cited by research in Immunology (247 citations), Virology (47 citations), Molecular Biology (382 citations), Organic Chemistry (144 citations) and Radiology, Nuclear Medicine and Imaging (90 citations). E Chabrol has collaborated with scholars based in France, Spain and Italy. Frequent co-authors include Franck Fieschi, Ieva Sutkevičiu̅tė, Javier Rojo, Anna Bernardi, Pedro M. Nieto, Michel Thépaut, Jesús Angulo, Norbert Varga, Romain R. Vivès and Éric Girard. Their work appears in journals such as Journal of the American Chemical Society, Protein Science, ACS Chemical Biology, Analytical Biochemistry and AIDS.
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.