Fabio Longo
Impact in
- Health Informatics top 10%
- Gastroenterology top 10%
Papers in
- Surgery 20
- Surgical Simulation and Training 5
- Enhanced Recovery After Surgery 5
-
- Gastric Cancer Management and Outcomes 9
- Co-authors
- Giuseppe Quero (15 shared papers)Paola Saccomandi (2 shared papers)Pietro Mascagni (10 shared papers)Jacques Marescaux (6 shared papers)Alfonso Lapergola (2 shared papers)Manuel Barberio (5 shared papers)Claudio Fiorillo (12 shared papers)Michèle Diana (5 shared papers)
- Journals
- Surgical Endoscopy (7 papers)Surgery (3 papers)Langenbeck s Archives of Surgery (3 papers)Cancers (2 papers)Cognitive Systems Research (2 papers)
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Fabio Longo
46 papers receiving 613 citations
Peers
Comparison fields: 5 of 101
- Health Informatics 15
- Gastroenterology 52
- Radiology, Nuclear Medicine and Imaging 139
- Oncology 157
- Surgery 246
Countries citing papers authored by Fabio Longo
This map shows the geographic impact of Fabio Longo'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 Fabio Longo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Longo more than expected).
Fields of papers citing papers by Fabio Longo
This network shows the impact of papers produced by Fabio Longo. 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 Fabio Longo. The network helps show where Fabio Longo may publish in the future.
Co-authors
The 25 scholars most cited alongside Fabio Longo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 61 | |
| 2 | 1994 | 47 | |
| 3 | 2019 | 47 | |
| 4 | 2014 | 45 | |
| 5 | 2018 | 43 | |
| 6 | 2020 | 40 | |
| 7 | 1996 | 37 | |
| 8 | 2002 | 35 | |
| 9 | 2022 | 34 | |
| 10 | 2023 | 22 | |
| 11 | 2019 | 19 | |
| 12 | 2020 | 17 | |
| 13 | 2019 | 16 | |
| 14 | 2022 | 15 | |
| 15 | 2020 | 15 | |
| 16 | 2019 | 14 | |
| 17 | 2021 | 12 | |
| 18 | 2021 | 11 | |
| 19 | 2014 | 11 | |
| 20 | 2021 | 8 |
About Fabio Longo
Fabio Longo is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Oncology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 51 papers that have together received 634 indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (9 papers), Colorectal Cancer Surgical Treatments (7 papers), Semantic Web and Ontologies (7 papers), Topic Modeling (6 papers), Surgical Simulation and Training (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), Enhanced Recovery After Surgery (5 papers) and Optical Imaging and Spectroscopy Techniques (3 papers). The work is most often cited by research in Health Informatics (15 citations), Gastroenterology (52 citations), Radiology, Nuclear Medicine and Imaging (139 citations), Oncology (157 citations) and Surgery (246 citations). Fabio Longo has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Giuseppe Quero, Paola Saccomandi, Pietro Mascagni, Jacques Marescaux, Alfonso Lapergola, Manuel Barberio, Claudio Fiorillo, Michèle Diana, Vincent Agnus and Sergio Alfieri. Their work appears in journals such as Surgical Endoscopy, Surgery, Langenbeck s Archives of Surgery, Cancers and Cognitive Systems Research.
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.