Angèle Bénard
About
In The Last Decade
Angèle Bénard
15 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Immunology 1.1k
- Epidemiology 201
- Oncology 186
- Genetics 123
- Molecular Biology 87
Countries citing papers authored by Angèle Bénard
This map shows the geographic impact of Angèle Bénard'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 Angèle Bénard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angèle Bénard more than expected).
Fields of papers citing papers by Angèle Bénard
This network shows the impact of papers produced by Angèle Bénard. 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 Angèle Bénard. The network helps show where Angèle Bénard may publish in the future.
Co-authorship network of co-authors of Angèle Bénard
This figure shows the co-authorship network connecting the top 25 collaborators of Angèle Bénard. A scholar is included among the top collaborators of Angèle Bénard 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 Angèle Bénard. Angèle Bénard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 18 | |
| 9 | 92 | |
| 10 | 23 | |
| 11 | 33 | |
| 12 | 4 | |
| 13 | 27 | |
| 14 | Induction of FoxP3 and acquisition of T regulatory activity by stimulated human CD4+CD25– T cells breakdown → | 1007 |
| 15 | 82 |
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.