Christian Bonnerot
- Immunology top 0.5%
- Molecular Biology top 2%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Cancer Research top 2%
- Immunology and Allergy top 1%
- Co-authors
- Danielle LankarSebastián AmigorenaGraça RaposoWolf H. FridmanMarc DaëronDaniel ChoquetPaola Ricciardi‐CastagnoliClotilde Théry
- Topics
- Monoclonal and Polyclonal Antibodies Research (42 papers)T-cell and B-cell Immunology (31 papers)Glycosylation and Glycoproteins Research (19 papers)
- Journals
- NatureScienceNucleic Acids Research
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Christian Bonnerot
62 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Immunology 3.2k
- Molecular Biology 3.2k
- Radiology, Nuclear Medicine and Imaging 1.6k
- Cancer Research 1.1k
- Immunology and Allergy 381
Countries citing papers authored by Christian Bonnerot
This map shows the geographic impact of Christian Bonnerot'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 Christian Bonnerot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Bonnerot more than expected).
Fields of papers citing papers by Christian Bonnerot
This network shows the impact of papers produced by Christian Bonnerot. 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 Christian Bonnerot. The network helps show where Christian Bonnerot may publish in the future.
Co-authorship network of co-authors of Christian Bonnerot
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Bonnerot. A scholar is included among the top collaborators of Christian Bonnerot 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 Christian Bonnerot. Christian Bonnerot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 48 | |
| 2 | 40 | |
| 3 | Exosomal-like vesicles are present in human blood plasmabreakdown → | 1085 |
| 4 | 26 | |
| 5 | 104 | |
| 6 | 105 | |
| 7 | 68 | |
| 8 | 60 | |
| 9 | 63 | |
| 10 | 18 | |
| 11 | 15 | |
| 12 | 23 | |
| 13 | 32 | |
| 14 | 8 | |
| 15 | 9 | |
| 16 | 115 | |
| 17 | 6 | |
| 18 | 23 | |
| 19 | 73 | |
| 20 | 2 |
About Christian Bonnerot
Christian Bonnerot is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 62 papers that have together received 5.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (42 papers), T-cell and B-cell Immunology (31 papers) and Glycosylation and Glycoproteins Research (19 papers). The work is most often cited by research in Immunology (3.2k citations), Cancer Research (1.1k citations) and Radiology, Nuclear Medicine and Imaging (1.6k citations). Christian Bonnerot has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Danielle Lankar, Sebastián Amigorena, Graça Raposo, Wolf H. Fridman, Marc Daëron, Daniel Choquet, Paola Ricciardi‐Castagnoli, Clotilde Théry, Sjef Verbeek and María Rescigno. Their work appears in journals such as Nature, Science and Nucleic Acids Research.
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.