Antonio Lanzavecchia
- Immunology top 0.01%
- Molecular Biology top 0.2%
- Oncology top 0.05%
- Epidemiology top 0.05%
- Infectious Diseases top 0.05%
- Co-authors
- Federica SallustoMarina CellaDanielle LenigJens GeginatMartin LippCharles R. MackayReinhold FörsterGiorgio Napolitani
- Topics
- T-cell and B-cell Immunology (188 papers)Immune Cell Function and Interaction (145 papers)Immunotherapy and Immune Responses (135 papers)
- Partner nations
- SwitzerlandItalyUnited States
In The Last Decade
Antonio Lanzavecchia
343 papers receiving 75.1k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Immunology 57.5k
- Molecular Biology 13.1k
- Oncology 12.9k
- Epidemiology 9.6k
- Infectious Diseases 8.2k
Countries citing papers authored by Antonio Lanzavecchia
This map shows the geographic impact of Antonio Lanzavecchia'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 Antonio Lanzavecchia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Lanzavecchia more than expected).
Fields of papers citing papers by Antonio Lanzavecchia
This network shows the impact of papers produced by Antonio Lanzavecchia. 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 Antonio Lanzavecchia. The network helps show where Antonio Lanzavecchia may publish in the future.
Co-authorship network of co-authors of Antonio Lanzavecchia
This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Lanzavecchia. A scholar is included among the top collaborators of Antonio Lanzavecchia 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 Antonio Lanzavecchia. Antonio Lanzavecchia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 6 | |
| 3 | 85 | |
| 4 | 14 | |
| 5 | 82 | |
| 6 | 1 | |
| 7 | 39 | |
| 8 | Reengineering chimeric antigen receptor T cells for targeted therapy of autoimmune diseasebreakdown → | 512 |
| 9 | 135 | |
| 10 | 73 | |
| 11 | 239 | |
| 12 | 51 | |
| 13 | Development of a Human Adaptive Immune System in Cord Blood Cell-Transplanted Micebreakdown → | 786 |
| 14 | 464 | |
| 15 | 107 | |
| 16 | 122 | |
| 17 | 86 | |
| 18 | 104 | |
| 19 | 58 | |
| 20 | 32 |
About Antonio Lanzavecchia
Antonio Lanzavecchia is a scholar working on Immunology, Virology and Radiology, Nuclear Medicine and Imaging, having authored 349 papers that have together received 77.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (188 papers), Immune Cell Function and Interaction (145 papers) and Immunotherapy and Immune Responses (135 papers). The work is most often cited by research in Immunology (57.5k citations), Virology (3.9k citations) and Immunology and Allergy (2.9k citations). Antonio Lanzavecchia has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include Federica Sallusto, Marina Cella, Danielle Lenig, Jens Geginat, Martin Lipp, Charles R. Mackay, Reinhold Förster, Giorgio Napolitani, David Jarrossay and Antonella Viola. Their work appears in journals such as Nature, Science and Cell.
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.