Roberto Grasso
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Neurology top 5%
- Transcranial Magnetic Stimulation Studies
- Vestibular and auditory disorders
Papers in
-
- Artificial Intelligence in Healthcare and Education 6
- Oncology 12
- Cancer survivorship and care 10
- Global Cancer Incidence and Screening 5
- Co-authors
- Nereo Bresolin (1 shared paper)Fabio Maria Triulzi (1 shared paper)Alessandro Tavano (1 shared paper)Renato Borgatti (1 shared paper)Chiara Gagliardi (1 shared paper)Franco Fabbro (1 shared paper)Gabriella Pravettoni (27 shared papers)Silvia Francesca Maria Pizzoli (9 shared papers)
In The Last Decade
Roberto Grasso
35 papers receiving 759 citations
Peers
Comparison fields: 5 of 70
- Health Informatics 104
- Neurology 123
- Cognitive Neuroscience 134
- Pediatrics, Perinatology and Child Health 67
- Developmental Neuroscience 16
Countries citing papers authored by Roberto Grasso
This map shows the geographic impact of Roberto Grasso'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 Roberto Grasso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Grasso more than expected).
Fields of papers citing papers by Roberto Grasso
This network shows the impact of papers produced by Roberto Grasso. 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 Roberto Grasso. The network helps show where Roberto Grasso may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Grasso, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 301 | |
| 2 | 2018 | 82 | |
| 3 | 2023 | 51 | |
| 4 | 2022 | 49 | |
| 5 | 2019 | 41 | |
| 6 | 2023 | 35 | |
| 7 | 2022 | 28 | |
| 8 | 2024 | 22 | |
| 9 | 2023 | 15 | |
| 10 | 2023 | 15 | |
| 11 | 2023 | 15 | |
| 12 | 2025 | 11 | |
| 13 | 2024 | 10 | |
| 14 | 2023 | 9 | |
| 15 | 2024 | 9 | |
| 16 | 2024 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2024 | 7 | |
| 19 | 2024 | 7 | |
| 20 | 2024 | 7 |
About Roberto Grasso
Roberto Grasso is a scholar working on Health Informatics, Oncology, General Health Professions, Neurology and Pulmonary and Respiratory Medicine, having authored 41 papers that have together received 778 indexed citations. Recurring topics across this work include Cancer survivorship and care (10 papers), Artificial Intelligence in Healthcare and Education (6 papers), Cancer-related cognitive impairment studies (6 papers), Global Cancer Incidence and Screening (5 papers), Patient-Provider Communication in Healthcare (5 papers), Transcranial Magnetic Stimulation Studies (4 papers), Economic and Financial Impacts of Cancer (3 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Health Informatics (104 citations), Neurology (123 citations), Cognitive Neuroscience (134 citations), Pediatrics, Perinatology and Child Health (67 citations) and Developmental Neuroscience (16 citations). Roberto Grasso has collaborated with scholars based in Italy, Spain and Greece. Frequent co-authors include Nereo Bresolin, Fabio Maria Triulzi, Alessandro Tavano, Renato Borgatti, Chiara Gagliardi, Franco Fabbro, Gabriella Pravettoni, Silvia Francesca Maria Pizzoli, Dario Monzani and Anna Rotili. Their work appears in journals such as Frontiers in Psychology, Cancers, Cancer Management and Research, Frontiers in Oncology and Life.
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.