J C Mazié
- Molecular Biology top 10%
- Immunology top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Public Health, Environmental and Occupational Health top 5%
- Infectious Diseases top 10%
- Co-authors
- Sylvie RouyreFarida NatoPierre LafayeStratis AvraméasGuillaume DighieroPascale CossartCaroline DemangelA Bussard
- Topics
- Monoclonal and Polyclonal Antibodies Research (30 papers)T-cell and B-cell Immunology (10 papers)Glycosylation and Glycoproteins Research (9 papers)
- Cited by
- EndocrinologyImmunologyBiotechnology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Experimental Medicine
- Partner nations
- FranceUnited StatesChile
In The Last Decade
J C Mazié
65 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 785
- Immunology 588
- Radiology, Nuclear Medicine and Imaging 583
- Public Health, Environmental and Occupational Health 284
- Infectious Diseases 238
Countries citing papers authored by J C Mazié
This map shows the geographic impact of J C Mazié'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 J C Mazié with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J C Mazié more than expected).
Fields of papers citing papers by J C Mazié
This network shows the impact of papers produced by J C Mazié. 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 J C Mazié. The network helps show where J C Mazié may publish in the future.
Co-authorship network of co-authors of J C Mazié
This figure shows the co-authorship network connecting the top 25 collaborators of J C Mazié. A scholar is included among the top collaborators of J C Mazié 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 J C Mazié. J C Mazié is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 7 | |
| 3 | 110 | |
| 4 | 76 | |
| 5 | 11 | |
| 6 | 84 | |
| 7 | 21 | |
| 8 | 1 | |
| 9 | 14 | |
| 10 | 19 | |
| 11 | 12 | |
| 12 | 4 | |
| 13 | 12 | |
| 14 | 10 | |
| 15 | 31 | |
| 16 | 2 | |
| 17 | 5 | |
| 18 | 11 | |
| 19 | 7 | |
| 20 | 23 |
About J C Mazié
J C Mazié is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Allergy and Immunology, having authored 66 papers that have together received 2.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (30 papers), T-cell and B-cell Immunology (10 papers) and Glycosylation and Glycoproteins Research (9 papers). The work is most often cited by research in Endocrinology (221 citations), Immunology (588 citations) and Biotechnology (222 citations). J C Mazié has collaborated with scholars based in France, United States and Chile. Frequent co-authors include Sylvie Rouyre, Farida Nato, Pierre Lafaye, Stratis Avraméas, Guillaume Dighiero, Pascale Cossart, Caroline Demangel, A Bussard, Gillian Butler‐Browne and Robert G. Whalen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.