Gilbert Mazza
- Immunology top 5%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Plant Science top 10%
- Oncology
- Co-authors
- Karen G. WelinderBernard MalissenClaude GrégoireJuan C. Fontecilla‐CampsDominique HoussetJean‐Baptiste ReiserClaudine DarnaultThomas Mosser
- Topics
- T-cell and B-cell Immunology (11 papers)Immune Cell Function and Interaction (9 papers)Monoclonal and Polyclonal Antibodies Research (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationThe EMBO Journal
- Partner nations
- FranceDenmarkUnited States
In The Last Decade
Gilbert Mazza
31 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 101
- Immunology 861
- Molecular Biology 493
- Radiology, Nuclear Medicine and Imaging 298
- Plant Science 236
- Oncology 204
Countries citing papers authored by Gilbert Mazza
This map shows the geographic impact of Gilbert Mazza'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 Gilbert Mazza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gilbert Mazza more than expected).
Fields of papers citing papers by Gilbert Mazza
This network shows the impact of papers produced by Gilbert Mazza. 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 Gilbert Mazza. The network helps show where Gilbert Mazza may publish in the future.
Co-authorship network of co-authors of Gilbert Mazza
This figure shows the co-authorship network connecting the top 25 collaborators of Gilbert Mazza. A scholar is included among the top collaborators of Gilbert Mazza 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 Gilbert Mazza. Gilbert Mazza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 211 | |
| 2 | 177 | |
| 3 | 177 | |
| 4 | 19 | |
| 5 | 16 | |
| 6 | 21 | |
| 7 | 23 | |
| 8 | 208 | |
| 9 | 17 | |
| 10 | Genetic and structural basis of idiotype network. The 'GAT' model. | 2 |
| 11 | 22 | |
| 12 | 12 | |
| 13 | 7 | |
| 14 | 6 | |
| 15 | 23 | |
| 16 | 28 | |
| 17 | 18 | |
| 18 | 50 | |
| 19 | 54 | |
| 20 | 143 |
About Gilbert Mazza
Gilbert Mazza is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (9 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). The work is most often cited by research in Immunology (861 citations), Radiology, Nuclear Medicine and Imaging (298 citations) and Electrochemistry (50 citations). Gilbert Mazza has collaborated with scholars based in France, Denmark and United States. Frequent co-authors include Karen G. Welinder, Bernard Malissen, Claude Grégoire, Juan C. Fontecilla‐Camps, Dominique Housset, Jean‐Baptiste Reiser, Claudine Darnault, Thomas Mosser, Jean Le Gall and Anne‐Marie Schmitt‐Verhulst. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The EMBO Journal.
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.