Silvia Tanzarella
- Immunology top 5%
- Molecular Biology
- Oncology top 10%
- Genetics
- Hematology
- Co-authors
- Catia TraversariVincenzo RussoClaudio BordignonFrancisco Ruiz‐CabelloFederico GarridoRosa MéndezKatharina FleischhauerPiero Dalerba
- Topics
- Immunotherapy and Immune Responses (11 papers)T-cell and B-cell Immunology (9 papers)Immune Cell Function and Interaction (6 papers)
- Cited by
- ImmunologyOncologyMolecular Biology
In The Last Decade
Silvia Tanzarella
11 papers receiving 680 citations
Peers
Comparison fields: 5 of 48
- Immunology 558
- Molecular Biology 342
- Oncology 240
- Genetics 40
- Hematology 28
Countries citing papers authored by Silvia Tanzarella
This map shows the geographic impact of Silvia Tanzarella'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 Silvia Tanzarella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Tanzarella more than expected).
Fields of papers citing papers by Silvia Tanzarella
This network shows the impact of papers produced by Silvia Tanzarella. 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 Silvia Tanzarella. The network helps show where Silvia Tanzarella may publish in the future.
Co-authorship network of co-authors of Silvia Tanzarella
This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Tanzarella. A scholar is included among the top collaborators of Silvia Tanzarella 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 Silvia Tanzarella. Silvia Tanzarella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 170 | |
| 4 | 202 | |
| 5 | 123 | |
| 6 | Identification of a promiscuous T-cell epitope encoded by multiple members of the MAGE family. | 47 |
| 7 | 32 | |
| 8 | Functional heterogeneity of HLA-A*02 subtypes revealed by presentation of a MAGE-3-encoded peptide to cytotoxic T cell clones. | 37 |
| 9 | 24 | |
| 10 | Multiple HLA-A alleles can present an immunodominant peptide of the human melanoma antigen Melan-A/MART-1 to a peptide-specific HLA-A*0201+ cytotoxic T cell line. | 46 |
| 11 | 3 |
About Silvia Tanzarella
Silvia Tanzarella is a scholar working on Immunology, Oncology and Molecular Biology, having authored 11 papers that have together received 692 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (11 papers), T-cell and B-cell Immunology (9 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Immunology (558 citations), Oncology (240 citations) and Molecular Biology (342 citations). Silvia Tanzarella has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include Catia Traversari, Vincenzo Russo, Claudio Bordignon, Francisco Ruiz‐Cabello, Federico Garrido, Rosa Méndez, Katharina Fleischhauer, Piero Dalerba, Maresa Altomonte and Luca Sigalotti. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Cancer 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.