Salvatore Cappabianca
- Surgery top 2%
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 2%
- Oncology top 5%
- Epidemiology top 10%
- Co-authors
- Alfonso ReginelliRoberto GrassiMaria Paola BelfioreRoberta GrassiAntonio RotondòLuca BruneseFabrizio UrraroValerio Nardone
- Topics
- Radiomics and Machine Learning in Medical Imaging (32 papers)Hepatocellular Carcinoma Treatment and Prognosis (15 papers)MRI in cancer diagnosis (13 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsPulmonary and Respiratory Medicine
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Salvatore Cappabianca
244 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 156
- Surgery 1.4k
- Radiology, Nuclear Medicine and Imaging 1.2k
- Pulmonary and Respiratory Medicine 1.1k
- Oncology 854
- Epidemiology 441
Countries citing papers authored by Salvatore Cappabianca
This map shows the geographic impact of Salvatore Cappabianca'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 Salvatore Cappabianca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salvatore Cappabianca more than expected).
Fields of papers citing papers by Salvatore Cappabianca
This network shows the impact of papers produced by Salvatore Cappabianca. 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 Salvatore Cappabianca. The network helps show where Salvatore Cappabianca may publish in the future.
Co-authorship network of co-authors of Salvatore Cappabianca
This figure shows the co-authorship network connecting the top 25 collaborators of Salvatore Cappabianca. A scholar is included among the top collaborators of Salvatore Cappabianca 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 Salvatore Cappabianca. Salvatore Cappabianca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 18 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 22 | |
| 10 | 21 | |
| 11 | 35 | |
| 12 | 3 | |
| 13 | 10 | |
| 14 | 0 | |
| 15 | 35 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | 0 | |
| 19 | 0 | |
| 20 | Recrudescence of pulmonary tuberculosis: radiological and CT features in an asymptomatic Southern Italian young population. | 0 |
About Salvatore Cappabianca
Salvatore Cappabianca is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Otorhinolaryngology, having authored 262 papers that have together received 4.4k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (32 papers), Hepatocellular Carcinoma Treatment and Prognosis (15 papers) and MRI in cancer diagnosis (13 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.2k citations), Health Informatics (57 citations) and Pulmonary and Respiratory Medicine (1.1k citations). Salvatore Cappabianca has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Alfonso Reginelli, Roberto Grassi, Maria Paola Belfiore, Roberta Grassi, Antonio Rotondò, Luca Brunese, Fabrizio Urraro, Valerio Nardone, Francesco Iaselli and Alfredo Clemente. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.