Valerio Nardone
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- Radiomics and Machine Learning in Medical Imaging 29
- MRI in cancer diagnosis 9
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers 14
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- Brain Metastases and Treatment 13
- Lung Cancer Diagnosis and Treatment 13
- Otorhinolaryngology top 5%
- Health Informatics top 10%
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- Glioma Diagnosis and Treatment 10
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- Advanced Radiotherapy Techniques 8
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- Advanced X-ray and CT Imaging 8
- Co-authors
- Alfonso ReginelliSalvatore CappabiancaPaolo TiniLuigi PirtoliRoberta GrassiPierpaolo PastinaIsacco DesideriMaria Paola Belfiore
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Valerio Nardone
99 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Radiology, Nuclear Medicine and Imaging 628
- Oncology 405
- Pulmonary and Respiratory Medicine 465
- Otorhinolaryngology 62
- Health Informatics 19
Countries citing papers authored by Valerio Nardone
This map shows the geographic impact of Valerio Nardone'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 Valerio Nardone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valerio Nardone more than expected).
Fields of papers citing papers by Valerio Nardone
This network shows the impact of papers produced by Valerio Nardone. 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 Valerio Nardone. The network helps show where Valerio Nardone may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Valerio Nardone, 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 | Progress and Challenges in Integrating Nutritional Care into Oncology Practice: Results from a National Survey on Behalf of the NutriOnc Research Groupbreakdown → | 2025 | 34 |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 18 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 6 | |
| 14 | 2022 | 12 | |
| 15 | 2021 | 3 | |
| 16 | 2021 | 13 | |
| 17 | 2021 | 0 | |
| 18 | 2020 | 11 | |
| 19 | 2018 | 9 | |
| 20 | 2017 | 1 |
About Valerio Nardone
Valerio Nardone is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Pulmonary and Respiratory Medicine, Otorhinolaryngology and Genetics, having authored 105 papers that have together received 1.3k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (29 papers), Cancer Immunotherapy and Biomarkers (14 papers), Brain Metastases and Treatment (13 papers), Lung Cancer Diagnosis and Treatment (13 papers), Glioma Diagnosis and Treatment (10 papers), MRI in cancer diagnosis (9 papers), Advanced Radiotherapy Techniques (8 papers) and Advanced X-ray and CT Imaging (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (628 citations), Oncology (405 citations), Pulmonary and Respiratory Medicine (465 citations), Otorhinolaryngology (62 citations) and Health Informatics (19 citations). Valerio Nardone has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Alfonso Reginelli, Salvatore Cappabianca, Paolo Tini, Luigi Pirtoli, Roberta Grassi, Pierpaolo Pastina, Isacco Desideri, Maria Paola Belfiore, Pierpaolo Correale and Luca Boldrini. Their work appears in journals such as La radiologia medica, Cancers, Frontiers in Oncology, Journal of Clinical Medicine and Medical 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.