Francesca Serpi
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Tendon Structure and Treatment
Papers in
- Surgery 17
- Orthopedic Surgery and Rehabilitation 8
- Shoulder Injury and Treatment 8
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- Radiomics and Machine Learning in Medical Imaging 3
- Co-authors
- Luca Maria Sconfienza (29 shared papers)Salvatore Gitto (27 shared papers)Domenico Albano (24 shared papers)Carmelo Messina (14 shared papers)Stefano Fusco (10 shared papers)Alberto Aliprandi (5 shared papers)Simone Schiaffino (2 shared papers)Lorenzo Monfardini (1 shared paper)
- Journals
- La radiologia medica (6 papers)Insights into Imaging (4 papers)Tomography (2 papers)European Journal of Radiology (2 papers)Journal of Clinical Medicine (2 papers)
- Partner nations
- ItalySwitzerlandSpain
In The Last Decade
Francesca Serpi
30 papers receiving 217 citations
Peers
Comparison fields: 5 of 47
- Health Informatics 23
- Orthopedics and Sports Medicine 23
- Radiology, Nuclear Medicine and Imaging 49
- Surgery 77
- Oral Surgery 8
Countries citing papers authored by Francesca Serpi
This map shows the geographic impact of Francesca Serpi'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 Francesca Serpi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Serpi more than expected).
Fields of papers citing papers by Francesca Serpi
This network shows the impact of papers produced by Francesca Serpi. 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 Francesca Serpi. The network helps show where Francesca Serpi may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesca Serpi, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 44 | |
| 2 | 2022 | 20 | |
| 3 | 2020 | 16 | |
| 4 | 2021 | 15 | |
| 5 | 2023 | 14 | |
| 6 | 2023 | 13 | |
| 7 | 2019 | 11 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 10 | |
| 10 | 2021 | 8 | |
| 11 | 2023 | 8 | |
| 12 | 2024 | 7 | |
| 13 | 2024 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2024 | 2 |
About Francesca Serpi
Francesca Serpi is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine, Rheumatology and Biomedical Engineering, having authored 33 papers that have together received 219 indexed citations. Recurring topics across this work include Orthopedic Surgery and Rehabilitation (8 papers), Shoulder Injury and Treatment (8 papers), Advanced X-ray and CT Imaging (4 papers), Tendon Structure and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Elbow and Forearm Trauma Treatment (3 papers), Sarcoma Diagnosis and Treatment (2 papers) and Bone Tumor Diagnosis and Treatments (2 papers). The work is most often cited by research in Health Informatics (23 citations), Orthopedics and Sports Medicine (23 citations), Radiology, Nuclear Medicine and Imaging (49 citations), Surgery (77 citations) and Oral Surgery (8 citations). Francesca Serpi has collaborated with scholars based in Italy, Switzerland and Spain. Frequent co-authors include Luca Maria Sconfienza, Salvatore Gitto, Domenico Albano, Carmelo Messina, Stefano Fusco, Alberto Aliprandi, Simone Schiaffino, Lorenzo Monfardini, Alessandro Luzzati and Marco Alì. Their work appears in journals such as La radiologia medica, Insights into Imaging, Tomography, European Journal of Radiology and Journal of Clinical Medicine.
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.