Vito Barbieri
Impact in
- Gastroenterology top 5%
- Gastrointestinal motility and disorders
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- PARP inhibition in cancer therapy
Papers in
- Oncology 25
- Cancer Immunotherapy and Biomarkers 10
- Lung Cancer Research Studies 5
- Cancer Cells and Metastasis 3
- Immunology 13
- Immunotherapy and Immune Responses 7
- Immune Cell Function and Interaction 4
- Co-authors
- Pierfrancesco TassoneSalvatore VenutaFrancesco CostanzoBarbara QuaresimaPierosandro TagliaferriAntonio RosatoC. Richard BolandMarialuisa Martelli
- Journals
- Human Mutation (3 papers)Cancers (2 papers)Frontiers in Oncology (2 papers)Journal of Clinical Oncology (2 papers)EJNMMI Physics (1 paper)
- Partner nations
- ItalyUnited StatesGreece
In The Last Decade
Vito Barbieri
42 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 103
- Gastroenterology 130
- Oncology 628
- Cancer Research 279
- Molecular Biology 671
- Biological Psychiatry 23
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2022 | 25 | |
| 5 | 2021 | 28 | |
| 6 | 2020 | 13 | |
| 7 | 2019 | 33 | |
| 8 | 2018 | 27 | |
| 9 | 2018 | 35 | |
| 10 | 2017 | 11 | |
| 11 | 2017 | 7 | |
| 12 | 2013 | 75 | |
| 13 | 2013 | 245 | |
| 14 | 2009 | 27 | |
| 15 | 2006 | 99 | |
| 16 | 2004 | 25 | |
| 17 | 2003 | 278 | |
| 18 | 2001 | 80 | |
| 19 | 1998 | 8 | |
| 20 | Preliminary observations on some protein and enzyme polymorphisms in Chiana cattle. | 1970 | 2 |
About Vito Barbieri
Vito Barbieri is a scholar working on Oncology, Immunology, Cancer Research, Immunology and Allergy 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 (10 papers), Immunotherapy and Immune Responses (7 papers), Lung Cancer Treatments and Mutations (6 papers), Lung Cancer Research Studies (5 papers), Cancer Genomics and Diagnostics (4 papers), Immune Cell Function and Interaction (4 papers), BRCA gene mutations in cancer (3 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Gastroenterology (130 citations), Oncology (628 citations), Cancer Research (279 citations), Molecular Biology (671 citations) and Biological Psychiatry (23 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, C. Richard Boland, Marialuisa Martelli, Ajay Goel and Simona Blotta. Their work appears in journals such as Human Mutation, Cancers, Frontiers in Oncology, Journal of Clinical 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.