Stefano Gigli
- Molecular Biology
- Surgery
- Pharmacology top 10%
- Endocrinology, Diabetes and Metabolism
- Gastroenterology top 10%
- Co-authors
- Giuseppe EspositoGiovanni SarnelliLuisa SeguellaMarcella PesceRosario CuomoAlessandra D’AlessandroLuca SteardoElena Capoccia
- Topics
- Radiomics and Machine Learning in Medical Imaging (3 papers)Cannabis and Cannabinoid Research (3 papers)HIV Research and Treatment (2 papers)
- Partner nations
- ItalyBelgiumUnited Kingdom
In The Last Decade
Stefano Gigli
21 papers receiving 464 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 126
- Surgery 98
- Pharmacology 96
- Endocrinology, Diabetes and Metabolism 54
- Gastroenterology 46
Countries citing papers authored by Stefano Gigli
This map shows the geographic impact of Stefano Gigli'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 Stefano Gigli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Gigli more than expected).
Fields of papers citing papers by Stefano Gigli
This network shows the impact of papers produced by Stefano Gigli. 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 Stefano Gigli. The network helps show where Stefano Gigli may publish in the future.
Co-authorship network of co-authors of Stefano Gigli
This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Gigli. A scholar is included among the top collaborators of Stefano Gigli 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 Stefano Gigli. Stefano Gigli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 8 | |
| 3 | 23 | |
| 4 | 48 | |
| 5 | 6 | |
| 6 | 10 | |
| 7 | 33 | |
| 8 | 33 | |
| 9 | 31 | |
| 10 | 31 | |
| 11 | 12 | |
| 12 | 38 | |
| 13 | 21 | |
| 14 | 36 | |
| 15 | 30 | |
| 16 | 41 | |
| 17 | Preoperative staging of colorectal cancer using virtual colonoscopy: correlation with surgical results. | 11 |
| 18 | Non mass-like enhancement categories detected by breast MRI and histological findings. | 15 |
| 19 | 1 | |
| 20 | 17 |
About Stefano Gigli
Stefano Gigli is a scholar working on Neuropsychology and Physiological Psychology, Complementary and Manual Therapy and Virology, having authored 21 papers that have together received 466 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Cannabis and Cannabinoid Research (3 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Gastroenterology (46 citations), Pharmacology (96 citations) and Complementary and Manual Therapy (11 citations). Stefano Gigli has collaborated with scholars based in Italy, Belgium and United Kingdom. Frequent co-authors include Giuseppe Esposito, Giovanni Sarnelli, Luisa Seguella, Marcella Pesce, Rosario Cuomo, Alessandra D’Alessandro, Luca Steardo, Elena Capoccia, Eugenia Bruzzese and Carla Cirillo. Their work appears in journals such as PLoS ONE, Scientific Reports and Journal of Controlled Release.
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.