Nicola Maggialetti
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- Radiomics and Machine Learning in Medical Imaging 13
- MRI in cancer diagnosis 8
- Radiation Dose and Imaging 4
- Genetics top 10%
- Glioma Diagnosis and Treatment 4
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis 7
- Orthopedics and Sports Medicine top 10%
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- Advanced X-ray and CT Imaging 5
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- Pancreatic and Hepatic Oncology Research 4
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- Head and Neck Cancer Studies 4
- Co-authors
- Luca BruneseAlfonso ReginelliFederico BrunoAntonio BarileRaffaele NatellaTeresa PopolizioU. SalvoliniTommaso Scarabino
- Journals
- SHILAP Revista de lepidopterología (8 papers)Cancers (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- ItalyUnited StatesBelgium
In The Last Decade
Nicola Maggialetti
63 papers receiving 759 citations
Peers
Comparison fields: 5 of 87
- Radiology, Nuclear Medicine and Imaging 324
- Genetics 121
- Hepatology 52
- Orthopedics and Sports Medicine 47
- Surgery 232
Countries citing papers authored by Nicola Maggialetti
This map shows the geographic impact of Nicola Maggialetti'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 Nicola Maggialetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicola Maggialetti more than expected).
Fields of papers citing papers by Nicola Maggialetti
This network shows the impact of papers produced by Nicola Maggialetti. 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 Nicola Maggialetti. The network helps show where Nicola Maggialetti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nicola Maggialetti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 6 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 1 | |
| 14 | 2021 | 10 | |
| 15 | 2019 | 4 | |
| 16 | 2019 | 12 | |
| 17 | 2019 | 13 | |
| 18 | 2019 | 11 | |
| 19 | 2019 | 24 | |
| 20 | 2013 | 37 |
About Nicola Maggialetti
Nicola Maggialetti is a scholar working on Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology and Hepatology, having authored 70 papers that have together received 773 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (13 papers), MRI in cancer diagnosis (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Advanced X-ray and CT Imaging (5 papers), Glioma Diagnosis and Treatment (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Radiation Dose and Imaging (4 papers) and Head and Neck Cancer Studies (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (324 citations), Genetics (121 citations) and Hepatology (52 citations). Nicola Maggialetti has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Luca Brunese, Alfonso Reginelli, Federico Bruno, Antonio Barile, Raffaele Natella, Teresa Popolizio, U. Salvolini, Tommaso Scarabino, G.M. Giannatempo and Michela Tosetti. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancers and Frontiers in 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.