Vito Barbieri
Impact in
- Gastroenterology top 5%
- Gastrointestinal motility and disorders
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- PARP inhibition in cancer therapy
Papers in
- Oncology 21
- Cancer Immunotherapy and Biomarkers 9
- CAR-T cell therapy research 3
- Co-authors
- Pierfrancesco Tassone (20 shared papers)Salvatore Venuta (8 shared papers)Francesco Costanzo (5 shared papers)Barbara Quaresima (4 shared papers)Pierosandro Tagliaferri (2 shared papers)Antonio Rosato (8 shared papers)Ajay Goel (1 shared paper)Marialuisa Martelli (1 shared paper)
- Journals
- Human Mutation (3 papers)Cancers (2 papers)Journal of Clinical Oncology (2 papers)Frontiers in Oncology (2 papers)EJNMMI Physics (1 paper)
- Partner nations
- ItalyUnited StatesGreece
In The Last Decade
Vito Barbieri
45 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 102
- Gastroenterology 123
- Oncology 548
- Cancer Research 220
- Biological Psychiatry 22
- Pharmacy 40
Countries citing papers authored by Vito Barbieri
This map shows the geographic impact of Vito Barbieri'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 Barbieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vito Barbieri more than expected).
Fields of papers citing papers by Vito Barbieri
This network shows the impact of papers produced by Vito Barbieri. 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 Barbieri. The network helps show where Vito Barbieri may publish in the future.
Co-authors
The 25 scholars most cited alongside Vito Barbieri, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 281 | |
| 2 | 2013 | 246 | |
| 3 | 2006 | 100 | |
| 4 | 2001 | 81 | |
| 5 | 2013 | 75 | |
| 6 | 2020 | 69 | |
| 7 | 2007 | 53 | |
| 8 | 2022 | 48 | |
| 9 | 2013 | 42 | |
| 10 | 2018 | 40 | |
| 11 | 2019 | 37 | |
| 12 | 2018 | 35 | |
| 13 | 2019 | 34 | |
| 14 | 2015 | 33 | |
| 15 | 2013 | 32 | |
| 16 | 2018 | 32 | |
| 17 | 2021 | 31 | |
| 18 | 2018 | 29 | |
| 19 | 2009 | 27 | |
| 20 | 2004 | 25 |
About Vito Barbieri
Vito Barbieri is a scholar working on Oncology, Molecular Biology, Immunology, Cancer Research and Pathology and Forensic Medicine, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (9 papers), Immunotherapy and Immune Responses (6 papers), Cancer Genomics and Diagnostics (3 papers), BRCA gene mutations in cancer (3 papers), Cancer, Lipids, and Metabolism (3 papers), Immune Cell Function and Interaction (3 papers), CAR-T cell therapy research (3 papers) and Lung Cancer Treatments and Mutations (3 papers). The work is most often cited by research in Gastroenterology (123 citations), Oncology (548 citations), Cancer Research (220 citations), Biological Psychiatry (22 citations) and Pharmacy (40 citations). Vito Barbieri has collaborated with scholars based in Italy, United States and Greece. Frequent co-authors include Pierfrancesco Tassone, Salvatore Venuta, Francesco Costanzo, Barbara Quaresima, Pierosandro Tagliaferri, Antonio Rosato, Ajay Goel, Marialuisa Martelli, Simona Blotta and C. Richard Boland. Their work appears in journals such as Human Mutation, Cancers, Journal of Clinical Oncology, Frontiers in Oncology and EJNMMI Physics.
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.