Alfredo Clemente
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- COVID-19 diagnosis using AI
Papers in
-
- Renal cell carcinoma treatment 4
- Lung Cancer Diagnosis and Treatment 3
-
- Radiomics and Machine Learning in Medical Imaging 8
- COVID-19 diagnosis using AI 3
- MRI in cancer diagnosis 3
- Co-authors
- Salvatore Cappabianca (29 shared papers)Rita Golfieri (15 shared papers)Matteo Renzulli (15 shared papers)Alfonso Reginelli (15 shared papers)Fabrizio Urraro (11 shared papers)Stefano Brocchi (6 shared papers)Francesco Tovoli (6 shared papers)Roberta Grassi (5 shared papers)
- Journals
- Cancers (3 papers)La radiologia medica (3 papers)Journal of Personalized Medicine (2 papers)Journal of Clinical Medicine (2 papers)Future Oncology (2 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Alfredo Clemente
34 papers receiving 427 citations
Peers
Comparison fields: 5 of 73
- Hepatology 106
- Radiology, Nuclear Medicine and Imaging 209
- Oncology 107
- Health Informatics 5
- Critical Care and Intensive Care Medicine 17
Countries citing papers authored by Alfredo Clemente
This map shows the geographic impact of Alfredo Clemente'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 Alfredo Clemente with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alfredo Clemente more than expected).
Fields of papers citing papers by Alfredo Clemente
This network shows the impact of papers produced by Alfredo Clemente. 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 Alfredo Clemente. The network helps show where Alfredo Clemente may publish in the future.
Co-authors
The 25 scholars most cited alongside Alfredo Clemente, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 51 | |
| 2 | 2020 | 35 | |
| 3 | 2020 | 34 | |
| 4 | 2018 | 28 | |
| 5 | 2020 | 25 | |
| 6 | 2022 | 22 | |
| 7 | 2019 | 21 | |
| 8 | 2019 | 21 | |
| 9 | 2021 | 20 | |
| 10 | 2021 | 15 | |
| 11 | 2020 | 15 | |
| 12 | 2019 | 12 | |
| 13 | 2019 | 12 | |
| 14 | 2018 | 12 | |
| 15 | 2021 | 11 | |
| 16 | 2022 | 10 | |
| 17 | 2018 | 10 | |
| 18 | 2023 | 9 | |
| 19 | 2008 | 9 | |
| 20 | 2018 | 9 |
About Alfredo Clemente
Alfredo Clemente is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Oncology and Hepatology, having authored 36 papers that have together received 434 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Renal cell carcinoma treatment (4 papers), COVID-19 diagnosis using AI (3 papers), MRI in cancer diagnosis (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Hepatology (106 citations), Radiology, Nuclear Medicine and Imaging (209 citations), Oncology (107 citations), Health Informatics (5 citations) and Critical Care and Intensive Care Medicine (17 citations). Alfredo Clemente has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Salvatore Cappabianca, Rita Golfieri, Matteo Renzulli, Alfonso Reginelli, Fabrizio Urraro, Stefano Brocchi, Francesco Tovoli, Roberta Grassi, Giuliana Giacobbe and Valerio Nardone. Their work appears in journals such as Cancers, La radiologia medica, Journal of Personalized Medicine, Journal of Clinical Medicine and Future Oncology.
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.