Alessio Cantore
- Molecular Biology top 10%
- Genetics top 2%
- Oncology top 10%
- Cancer Research top 10%
- Immunology
- Co-authors
- Luigi NaldiniBrian D. BrownAndrea AnnoniAlessia BaccariniLucia Sergi SergiAnna ZingaleGiovanna LazzariBernhard Gentner
- Topics
- Virus-based gene therapy research (22 papers)CRISPR and Genetic Engineering (10 papers)CAR-T cell therapy research (9 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaBlood
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Alessio Cantore
29 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 1.2k
- Genetics 905
- Oncology 378
- Cancer Research 268
- Immunology 159
Countries citing papers authored by Alessio Cantore
This map shows the geographic impact of Alessio Cantore'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 Alessio Cantore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessio Cantore more than expected).
Fields of papers citing papers by Alessio Cantore
This network shows the impact of papers produced by Alessio Cantore. 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 Alessio Cantore. The network helps show where Alessio Cantore may publish in the future.
Co-authorship network of co-authors of Alessio Cantore
This figure shows the co-authorship network connecting the top 25 collaborators of Alessio Cantore. A scholar is included among the top collaborators of Alessio Cantore 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 Alessio Cantore. Alessio Cantore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 26 | |
| 7 | 19 | |
| 8 | 17 | |
| 9 | 25 | |
| 10 | 25 | |
| 11 | 91 | |
| 12 | 23 | |
| 13 | 63 | |
| 14 | 4 | |
| 15 | 44 | |
| 16 | 54 | |
| 17 | Integration-defective lentiviral vectors for hemophilia: a safer platform for immune tolerance inducation and reduced genotoxicity | 1 |
| 18 | Sustained therapeutic factor IX expression in liver using integration-deficient lentiviral vectors. | 1 |
| 19 | 194 | |
| 20 | 449 |
About Alessio Cantore
Alessio Cantore is a scholar working on Genetics, Hematology and Infectious Diseases, having authored 30 papers that have together received 1.7k indexed citations. Recurring topics across this work include Virus-based gene therapy research (22 papers), CRISPR and Genetic Engineering (10 papers) and CAR-T cell therapy research (9 papers). The work is most often cited by research in Genetics (905 citations), Molecular Biology (1.2k citations) and Cancer Research (268 citations). Alessio Cantore has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Luigi Naldini, Brian D. Brown, Andrea Annoni, Alessia Baccarini, Lucia Sergi Sergi, Anna Zingale, Giovanna Lazzari, Bernhard Gentner, Silvia Colleoni and Mario Amendola. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.
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.