Vito Pistoia
- Immunology top 0.2%
- Genetics top 0.05%
- Molecular Biology top 1%
- Oncology top 0.5%
- Surgery top 1%
- Co-authors
- Antonio UccelliLorenzo MorettaLizzia RaffaghelloFabio MorandiAnna CorcioneElisa FerrettiGiovanna BianchiIgnazia Prigione
- Topics
- Neuroblastoma Research and Treatments (82 papers)Immune Cell Function and Interaction (80 papers)T-cell and B-cell Immunology (49 papers)
- Cited by
- GeneticsPhysiologyImmunology
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationThe Journal of Experimental Medicine
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Vito Pistoia
316 papers receiving 17.7k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Immunology 6.0k
- Genetics 5.5k
- Molecular Biology 5.3k
- Oncology 3.9k
- Surgery 2.4k
Countries citing papers authored by Vito Pistoia
This map shows the geographic impact of Vito Pistoia'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 Vito Pistoia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vito Pistoia more than expected).
Fields of papers citing papers by Vito Pistoia
This network shows the impact of papers produced by Vito Pistoia. 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 Vito Pistoia. The network helps show where Vito Pistoia may publish in the future.
Co-authorship network of co-authors of Vito Pistoia
This figure shows the co-authorship network connecting the top 25 collaborators of Vito Pistoia. A scholar is included among the top collaborators of Vito Pistoia 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 Vito Pistoia. Vito Pistoia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 6 | |
| 3 | 26 | |
| 4 | 68 | |
| 5 | 95 | |
| 6 | 39 | |
| 7 | 98 | |
| 8 | 17 | |
| 9 | 135 | |
| 10 | 123 | |
| 11 | 302 | |
| 12 | 60 | |
| 13 | 32 | |
| 14 | 38 | |
| 15 | 129 | |
| 16 | Mesenchymal stem cells in health and diseasebreakdown → | 2859 |
| 17 | Synovial membrane expression of matrix metalloproteinases and tissue inhibitor 1 in juvenile idiopathic arthritides. | 27 |
| 18 | 62 | |
| 19 | 4 | |
| 20 | 1 |
About Vito Pistoia
Vito Pistoia is a scholar working on Immunology, Neurology and Hematology, having authored 320 papers that have together received 18.1k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (82 papers), Immune Cell Function and Interaction (80 papers) and T-cell and B-cell Immunology (49 papers). The work is most often cited by research in Genetics (5.5k citations), Physiology (1.5k citations) and Immunology (6.0k citations). Vito Pistoia has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Antonio Uccelli, Lorenzo Moretta, Lizzia Raffaghello, Fabio Morandi, Anna Corcione, Elisa Ferretti, Giovanna Bianchi, Ignazia Prigione, Gianluigi Mancardi and Francesco Di Virgilio. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation 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.