Alessandro Sette
Impact in
- Virology top 0.05%
- HIV Research and Treatment
- Immunology top 0.01%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Immunology 254
- Immunotherapy and Immune Responses 133
- T-cell and B-cell Immunology 132
-
- SARS-CoV-2 and COVID-19 Research 132
- Tuberculosis Research and Epidemiology 54
- Co-authors
- John Sidney (251 shared papers)Bjoern Peters (251 shared papers)Scott Southwood (104 shared papers)Shane Crotty (36 shared papers)Howard M. Grey (70 shared papers)Daniela Weiskopf (98 shared papers)Søren Buus (30 shared papers)Jason Greenbaum (52 shared papers)
- Journals
- The Journal of Immunology (142 papers)Journal of Virology (51 papers)Frontiers in Immunology (44 papers)Proceedings of the National Academy of Sciences (28 papers)The Journal of Experimental Medicine (25 papers)
- Partner nations
- United StatesItalyDenmark
In The Last Decade
Alessandro Sette
1k papers receiving 96.3k citations
Alessandro Sette's Hit Papers
Peers
Comparison fields: 5 of 187
- Virology 6.6k
- Immunology 22.9k
- Infectious Diseases 22k
- Molecular Biology 32.2k
- Hepatology 2.5k
Countries citing papers authored by Alessandro Sette
This map shows the geographic impact of Alessandro Sette'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 Alessandro Sette with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Sette more than expected).
Fields of papers citing papers by Alessandro Sette
This network shows the impact of papers produced by Alessandro Sette. 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 Alessandro Sette. The network helps show where Alessandro Sette may publish in the future.
Co-authors
The 25 scholars most cited alongside Alessandro Sette, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 1k papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Targets of T Cell Responses to SARS-CoV-2 Coronavirus in Humans with COVID-19 Disease and Unexposed Individuals Hit paper breakdown → | 2020 | 2871 |
| 2 | Immunological memory to SARS-CoV-2 assessed for up to 8 months after infection Hit paper breakdown → | 2021 | 2037 |
| 3 | The Immune Epitope Database (IEDB): 2018 update Hit paper breakdown → | 2018 | 1591 |
| 4 | Antigen-Specific Adaptive Immunity to SARS-CoV-2 in Acute COVID-19 and Associations with Age and Disease Severity Hit paper breakdown → | 2020 | 1437 |
| 5 | ElliPro: a new structure-based tool for the prediction of antibody epitopes Hit paper breakdown → | 2008 | 1388 |
| 6 | Adaptive immunity to SARS-CoV-2 and COVID-19 Hit paper breakdown → | 2021 | 1374 |
| 7 | Selective and cross-reactive SARS-CoV-2 T cell epitopes in unexposed humans Hit paper breakdown → | 2020 | 893 |
| 8 | The immune epitope database (IEDB) 3.0 Hit paper breakdown → | 2014 | 876 |
| 9 | 2020 | 757 | |
| 10 | A Sequence Homology and Bioinformatic Approach Can Predict Candidate Targets for Immune Responses to SARS-CoV-2 Hit paper breakdown → | 2020 | 751 |
| 11 | The relationship between class I binding affinity and immunogenicity of potential cytotoxic T cell epitopes. Hit paper breakdown → | 1994 | 745 |
| 12 | Identifying specificity groups in the T cell receptor repertoire Hit paper breakdown → | 2017 | 745 |
| 13 | Predicting population coverage of T-cell epitope-based diagnostics and vaccines Hit paper breakdown → | 2006 | 740 |
| 14 | Human Circulating PD-1+CXCR3−CXCR5+ Memory Tfh Cells Are Highly Functional and Correlate with Broadly Neutralizing HIV Antibody Responses Hit paper breakdown → | 2013 | 719 |
| 15 | Properties of MHC Class I Presented Peptides That Enhance Immunogenicity Hit paper breakdown → | 2013 | 710 |
| 16 | T cells from patients with Parkinson’s disease recognize α-synuclein peptides Hit paper breakdown → | 2017 | 702 |
| 17 | A Systematic Assessment of MHC Class II Peptide Binding Predictions and Evaluation of a Consensus Approach Hit paper breakdown → | 2008 | 696 |
| 18 | SARS-CoV-2 vaccination induces immunological T cell memory able to cross-recognize variants from Alpha to Omicron Hit paper breakdown → | 2022 | 685 |
| 19 | mRNA vaccines induce durable immune memory to SARS-CoV-2 and variants of concern Hit paper breakdown → | 2021 | 682 |
| 20 | 2020 | 669 |
About Alessandro Sette
Alessandro Sette is a scholar working on Immunology, Infectious Diseases, Molecular Biology, Virology and Immunology and Allergy, having authored 1k papers that have together received 99.3k indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (408 papers), Immunotherapy and Immune Responses (133 papers), T-cell and B-cell Immunology (132 papers), SARS-CoV-2 and COVID-19 Research (132 papers), HIV Research and Treatment (58 papers), Tuberculosis Research and Epidemiology (54 papers), Mosquito-borne diseases and control (51 papers) and Allergic Rhinitis and Sensitization (38 papers). The work is most often cited by research in Virology (6.6k citations), Immunology (22.9k citations), Infectious Diseases (22k citations), Molecular Biology (32.2k citations) and Hepatology (2.5k citations). Alessandro Sette has collaborated with scholars based in United States, Italy and Denmark. Frequent co-authors include John Sidney, Bjoern Peters, Scott Southwood, Shane Crotty, Howard M. Grey, Daniela Weiskopf, Søren Buus, Jason Greenbaum, Alba Grifoni and Huynh‐Hoa Bui. Their work appears in journals such as The Journal of Immunology, Journal of Virology, Frontiers in Immunology, Proceedings of the National Academy of Sciences 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.