Roberta Grassi
Impact in
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis
- Health Informatics top 2%
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 39
- COVID-19 diagnosis using AI 14
- MRI in cancer diagnosis 13
- Hepatology 15
- Hepatocellular Carcinoma Treatment and Prognosis 15
- Co-authors
- Vincenza GranataRoberta FuscoAntonella PetrilloFrancesco IzzoSalvatore CappabiancaAlfonso ReginelliMaria Paola BelfioreRaffaéle Palaia
- Journals
- La radiologia medica (15 papers)Journal of Personalized Medicine (11 papers)Cancers (6 papers)International Journal of Environmental Research and Public Health (5 papers)Medical Oncology (4 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Roberta Grassi
120 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Hepatology 548
- Health Informatics 83
- Radiology, Nuclear Medicine and Imaging 1.3k
- Oncology 631
- Pulmonary and Respiratory Medicine 654
Countries citing papers authored by Roberta Grassi
This map shows the geographic impact of Roberta Grassi'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 Roberta Grassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberta Grassi more than expected).
Fields of papers citing papers by Roberta Grassi
This network shows the impact of papers produced by Roberta Grassi. 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 Roberta Grassi. The network helps show where Roberta Grassi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Roberta Grassi, 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 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 9 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 56 | |
| 11 | 2022 | 8 | |
| 12 | 2021 | 21 | |
| 13 | 2021 | 15 | |
| 14 | 2021 | 11 | |
| 15 | 2021 | 10 | |
| 16 | 2020 | 35 | |
| 17 | 2020 | 12 | |
| 18 | 2019 | 1 | |
| 19 | 2013 | 7 | |
| 20 | 2013 | 3 |
About Roberta Grassi
Roberta Grassi is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology, Health Informatics, Literature and Literary Theory and Pulmonary and Respiratory Medicine, having authored 130 papers that have together received 2.8k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (39 papers), Linguistic Studies and Language Acquisition (17 papers), Second Language Learning and Teaching (15 papers), Hepatocellular Carcinoma Treatment and Prognosis (15 papers), COVID-19 diagnosis using AI (14 papers), MRI in cancer diagnosis (13 papers), Lung Cancer Diagnosis and Treatment (13 papers) and Advanced X-ray and CT Imaging (12 papers). The work is most often cited by research in Hepatology (548 citations), Health Informatics (83 citations), Radiology, Nuclear Medicine and Imaging (1.3k citations), Oncology (631 citations) and Pulmonary and Respiratory Medicine (654 citations). Roberta Grassi has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Vincenza Granata, Roberta Fusco, Antonella Petrillo, Francesco Izzo, Salvatore Cappabianca, Alfonso Reginelli, Maria Paola Belfiore, Raffaéle Palaia, Paolo Delrio and Roberto Grassi. Their work appears in journals such as La radiologia medica, Journal of Personalized Medicine, Cancers, International Journal of Environmental Research and Public Health 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.