Brunella Barbaro
- Oncology top 1%
- Surgery top 2%
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 5%
- Hepatology top 5%
- Co-authors
- Vincenzo ValentiniClaudio CocoMaria Antonietta GambacortaAurelio PicciocchiP MaranoS CogliandoloFabio Maria VecchioLorenzo Bonomo
- Topics
- Colorectal Cancer Surgical Treatments (47 papers)Colorectal and Anal Carcinomas (26 papers)Radiomics and Machine Learning in Medical Imaging (22 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaGut
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Brunella Barbaro
91 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 91
- Oncology 2.2k
- Surgery 1.6k
- Radiology, Nuclear Medicine and Imaging 1.0k
- Pulmonary and Respiratory Medicine 584
- Hepatology 289
Countries citing papers authored by Brunella Barbaro
This map shows the geographic impact of Brunella Barbaro'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 Brunella Barbaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brunella Barbaro more than expected).
Fields of papers citing papers by Brunella Barbaro
This network shows the impact of papers produced by Brunella Barbaro. 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 Brunella Barbaro. The network helps show where Brunella Barbaro may publish in the future.
Co-authorship network of co-authors of Brunella Barbaro
This figure shows the co-authorship network connecting the top 25 collaborators of Brunella Barbaro. A scholar is included among the top collaborators of Brunella Barbaro 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 Brunella Barbaro. Brunella Barbaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 17 | |
| 6 | 39 | |
| 7 | 8 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 137 | |
| 11 | 93 | |
| 12 | 41 | |
| 13 | 14 | |
| 14 | 6 | |
| 15 | 69 | |
| 16 | 9 | |
| 17 | 10 | |
| 18 | 10 | |
| 19 | 139 | |
| 20 | [The tissue characterization of focal liver lesions by color Doppler echography]. | 4 |
About Brunella Barbaro
Brunella Barbaro is a scholar working on Hepatology, Oncology and Surgery, having authored 93 papers that have together received 3.0k indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (47 papers), Colorectal and Anal Carcinomas (26 papers) and Radiomics and Machine Learning in Medical Imaging (22 papers). The work is most often cited by research in Oncology (2.2k citations), Radiology, Nuclear Medicine and Imaging (1.0k citations) and Hepatology (289 citations). Brunella Barbaro has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Vincenzo Valentini, Claudio Coco, Maria Antonietta Gambacorta, Aurelio Picciocchi, P Marano, S Cogliandolo, Fabio Maria Vecchio, Lorenzo Bonomo, Doenja M. J. Lambregts and Monique Maas. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Gut.
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.