Gaia Grassetto
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 5%
- Surgery top 10%
- Oncology top 10%
- Nephrology top 2%
- Co-authors
- Domenico RubelloMaria Cristina MarzolaLucia RampinSotirios ChondrogiannisPatrick M. CollettiAnna Margherita MaffioneStefano FantiAdil Al‐Nahhas
- Topics
- Medical Imaging Techniques and Applications (25 papers)Radiomics and Machine Learning in Medical Imaging (13 papers)Medical Imaging and Pathology Studies (10 papers)
- Journals
- American Journal of RoentgenologyPhysics in Medicine and BiologyBioMed Research International
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Gaia Grassetto
77 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 80
- Radiology, Nuclear Medicine and Imaging 530
- Pulmonary and Respiratory Medicine 472
- Surgery 432
- Oncology 366
- Nephrology 247
Countries citing papers authored by Gaia Grassetto
This map shows the geographic impact of Gaia Grassetto'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 Gaia Grassetto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaia Grassetto more than expected).
Fields of papers citing papers by Gaia Grassetto
This network shows the impact of papers produced by Gaia Grassetto. 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 Gaia Grassetto. The network helps show where Gaia Grassetto may publish in the future.
Co-authorship network of co-authors of Gaia Grassetto
This figure shows the co-authorship network connecting the top 25 collaborators of Gaia Grassetto. A scholar is included among the top collaborators of Gaia Grassetto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gaia Grassetto. Gaia Grassetto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 36 | |
| 3 | 2 | |
| 4 | 18 | |
| 5 | 34 | |
| 6 | 6 | |
| 7 | 17 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 7 | |
| 11 | 62 | |
| 12 | 18 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 7 | |
| 16 | 36 | |
| 17 | 8 | |
| 18 | 194 | |
| 19 | 24 | |
| 20 | Tc-MIBI adenosine GSPECT and non-invasive coronary flow velocity reserve evaluation during follow-up of patients after cardio-pulmonary by-pass operated for congenital heart disease | 1 |
About Gaia Grassetto
Gaia Grassetto is a scholar working on Radiology, Nuclear Medicine and Imaging, Nephrology and Pulmonary and Respiratory Medicine, having authored 78 papers that have together received 1.4k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (25 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Medical Imaging and Pathology Studies (10 papers). The work is most often cited by research in Nephrology (247 citations), Radiology, Nuclear Medicine and Imaging (530 citations) and Pulmonary and Respiratory Medicine (472 citations). Gaia Grassetto has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Domenico Rubello, Maria Cristina Marzola, Lucia Rampin, Sotirios Chondrogiannis, Patrick M. Colletti, Anna Margherita Maffione, Stefano Fanti, Adil Al‐Nahhas, Valentina Ambrosini and Elif Hindié. Their work appears in journals such as American Journal of Roentgenology, Physics in Medicine and Biology and BioMed Research International.
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.