Sergio Venanzio Setola
- Radiology, Nuclear Medicine and Imaging top 2%
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Surgery top 10%
- Hepatology top 2%
- Co-authors
- Antonella PetrilloVincenza GranataRoberta FuscoFrancesco IzzoOrlando CatalanoFabio SandomenicoRaffaéle PalaiaRoberta Grassi
- Topics
- Radiomics and Machine Learning in Medical Imaging (26 papers)Hepatocellular Carcinoma Treatment and Prognosis (23 papers)MRI in cancer diagnosis (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaFrontiers in ImmunologyJournal of Cellular Physiology
- Partner nations
- ItalyUnited StatesMalaysia
In The Last Decade
Sergio Venanzio Setola
88 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 101
- Radiology, Nuclear Medicine and Imaging 772
- Oncology 526
- Pulmonary and Respiratory Medicine 510
- Surgery 381
- Hepatology 322
Countries citing papers authored by Sergio Venanzio Setola
This map shows the geographic impact of Sergio Venanzio Setola'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 Sergio Venanzio Setola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Venanzio Setola more than expected).
Fields of papers citing papers by Sergio Venanzio Setola
This network shows the impact of papers produced by Sergio Venanzio Setola. 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 Sergio Venanzio Setola. The network helps show where Sergio Venanzio Setola may publish in the future.
Co-authorship network of co-authors of Sergio Venanzio Setola
This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Venanzio Setola. A scholar is included among the top collaborators of Sergio Venanzio Setola 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 Sergio Venanzio Setola. Sergio Venanzio Setola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 4 | |
| 5 | 12 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 14 | |
| 9 | 8 | |
| 10 | 22 | |
| 11 | 59 | |
| 12 | Electroporation-based treatments in minimally invasive percutaneous, laparoscopy and endoscopy procedures for treatment of deep-seated tumors | 2 |
| 13 | 10 | |
| 14 | 12 | |
| 15 | 9 | |
| 16 | 20 | |
| 17 | 28 | |
| 18 | 13 | |
| 19 | 29 | |
| 20 | 6 |
About Sergio Venanzio Setola
Sergio Venanzio Setola is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 90 papers that have together received 1.7k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (26 papers), Hepatocellular Carcinoma Treatment and Prognosis (23 papers) and MRI in cancer diagnosis (15 papers). The work is most often cited by research in Hepatology (322 citations), Radiology, Nuclear Medicine and Imaging (772 citations) and Health Informatics (27 citations). Sergio Venanzio Setola has collaborated with scholars based in Italy, United States and Malaysia. Frequent co-authors include Antonella Petrillo, Vincenza Granata, Roberta Fusco, Francesco Izzo, Orlando Catalano, Fabio Sandomenico, Raffaéle Palaia, Roberta Grassi, Andrea Belli and Vittorio Miele. Their work appears in journals such as SHILAP Revista de lepidopterología, Frontiers in Immunology and Journal of Cellular Physiology.
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.