Federico Fazio
- Surgery
- Radiology, Nuclear Medicine and Imaging
- Oncology
- Pulmonary and Respiratory Medicine
- Reproductive Medicine top 10%
- Co-authors
- Rahul KotiKurinchi Selvan GurusamyAjay BelgaumkarElisabetta MoggiaStephen P. PereiraBrian R DavidsonValentino BettinardiEmanuela Rabaiotti
- Topics
- Medical Imaging Techniques and Applications (8 papers)Radiomics and Machine Learning in Medical Imaging (7 papers)Advanced MRI Techniques and Applications (4 papers)
- Journals
- Cochrane Database of Systematic ReviewsInternational Journal of Molecular SciencesInternational Journal of Radiation Oncology*Biology*Physics
- Partner nations
- ItalyUnited KingdomFinland
In The Last Decade
Federico Fazio
14 papers receiving 302 citations
Peers
Comparison fields: 5 of 57
- Surgery 159
- Radiology, Nuclear Medicine and Imaging 81
- Oncology 72
- Pulmonary and Respiratory Medicine 59
- Reproductive Medicine 56
Countries citing papers authored by Federico Fazio
This map shows the geographic impact of Federico Fazio'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 Federico Fazio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Fazio more than expected).
Fields of papers citing papers by Federico Fazio
This network shows the impact of papers produced by Federico Fazio. 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 Federico Fazio. The network helps show where Federico Fazio may publish in the future.
Co-authorship network of co-authors of Federico Fazio
This figure shows the co-authorship network connecting the top 25 collaborators of Federico Fazio. A scholar is included among the top collaborators of Federico Fazio 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 Federico Fazio. Federico Fazio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | 10 | |
| 3 | 0 | |
| 4 | 121 | |
| 5 | Laparoscopic left lateral hepatectomy for colorectal metastasis is the standard of care. | 3 |
| 6 | 3 | |
| 7 | 15 | |
| 8 | 65 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 34 | |
| 13 | 8 | |
| 14 | 1 | |
| 15 | A bioimaging integration system implemented for neurological applications. | 3 |
| 16 | Emission tomography: Functional follow-up studies in stroke | 1 |
About Federico Fazio
Federico Fazio is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 16 papers that have together received 313 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Advanced MRI Techniques and Applications (4 papers). The work is most often cited by research in Reproductive Medicine (56 citations), Obstetrics and Gynecology (34 citations) and Surgery (159 citations). Federico Fazio has collaborated with scholars based in Italy, United Kingdom and Finland. Frequent co-authors include Rahul Koti, Kurinchi Selvan Gurusamy, Ajay Belgaumkar, Elisabetta Moggia, Stephen P. Pereira, Brian R Davidson, Valentino Bettinardi, Emanuela Rabaiotti, Maria Carla Gilardi and Sandro Sironi. Their work appears in journals such as Cochrane Database of Systematic Reviews, International Journal of Molecular Sciences and International Journal of Radiation Oncology*Biology*Physics.
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.