Francesca Patella
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Surgery 10
- Salivary Gland Tumors Diagnosis and Treatment 3
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- Radiomics and Machine Learning in Medical Imaging 6
- MRI in cancer diagnosis 5
- COVID-19 diagnosis using AI 2
- Co-authors
- Filippo Pesapane (15 shared papers)Gianpaolo Carrafiello (13 shared papers)Anna Maria Ierardi (11 shared papers)Salvatore Alessio Angileri (8 shared papers)Enrico Maria Fumarola (7 shared papers)Giuseppe Franceschelli (8 shared papers)Mario Petrillo (6 shared papers)Pierpaolo Biondetti (3 shared papers)
- Journals
- Future Oncology (6 papers)Medical Oncology (4 papers)Cancers (1 paper)Insights into Imaging (1 paper)Medical Image Analysis (1 paper)
- Partner nations
- ItalyUnited StatesBelgium
In The Last Decade
Francesca Patella
23 papers receiving 627 citations
Francesca Patella's Hit Papers
Peers
Comparison fields: 5 of 81
- Health Informatics 65
- Hepatology 178
- Radiology, Nuclear Medicine and Imaging 224
- Artificial Intelligence 147
- Pulmonary and Respiratory Medicine 148
Countries citing papers authored by Francesca Patella
This map shows the geographic impact of Francesca Patella'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 Patella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Patella more than expected).
Fields of papers citing papers by Francesca Patella
This network shows the impact of papers produced by Francesca Patella. 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 Patella. The network helps show where Francesca Patella may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesca Patella, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan Hit paper breakdown → | 2021 | 176 |
| 2 | 2018 | 88 | |
| 3 | 2018 | 68 | |
| 4 | 2017 | 51 | |
| 5 | 2017 | 46 | |
| 6 | 2020 | 32 | |
| 7 | 2018 | 21 | |
| 8 | 2018 | 18 | |
| 9 | 2021 | 16 | |
| 10 | 2018 | 15 | |
| 11 | 2016 | 14 | |
| 12 | 2018 | 13 | |
| 13 | 2018 | 12 | |
| 14 | 2018 | 11 | |
| 15 | 2018 | 9 | |
| 16 | 2019 | 8 | |
| 17 | 2019 | 8 | |
| 18 | 2018 | 8 | |
| 19 | 2020 | 7 | |
| 20 | 2020 | 7 |
About Francesca Patella
Francesca Patella is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Hepatology and Oncology, having authored 24 papers that have together received 636 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), MRI in cancer diagnosis (5 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Salivary Gland Tumors Diagnosis and Treatment (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), COVID-19 diagnosis using AI (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Health Informatics (65 citations), Hepatology (178 citations), Radiology, Nuclear Medicine and Imaging (224 citations), Artificial Intelligence (147 citations) and Pulmonary and Respiratory Medicine (148 citations). Francesca Patella has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Filippo Pesapane, Gianpaolo Carrafiello, Anna Maria Ierardi, Salvatore Alessio Angileri, Enrico Maria Fumarola, Giuseppe Franceschelli, Mario Petrillo, Pierpaolo Biondetti, Nariman Nezami and Jean-François Geschwind. Their work appears in journals such as Future Oncology, Medical Oncology, Cancers, Insights into Imaging and Medical Image Analysis.
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.