Giuseppe V. Toia
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- Radiation Dose and Imaging 19
- Medical Imaging Techniques and Applications 12
- Radiomics and Machine Learning in Medical Imaging 1
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- Advanced X-ray and CT Imaging 19
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- Dental Radiography and Imaging 2
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- Lung Cancer Diagnosis and Treatment 2
- Renal cell carcinoma treatment 1
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- Tuberous Sclerosis Complex Research 1
- Co-authors
- Timothy P. SzczykutowiczAmar DhanantwariBrian NettAchille MiletoDaniel S. HippeCarolyn L. WangDushyant V. SahaniTheodore J. Dubinsky
- Journals
- Radiology (1 paper)Experimental Neurology (1 paper)American Journal of Roentgenology (4 papers)
- Partner nations
- United StatesSpainMalaysia
In The Last Decade
Giuseppe V. Toia
24 papers receiving 272 citations
Peers
Comparison fields: 5 of 62
- Radiology, Nuclear Medicine and Imaging 178
- Biomedical Engineering 164
- Hepatology 21
- Internal Medicine 7
- Health Informatics 2
Countries citing papers authored by Giuseppe V. Toia
This map shows the geographic impact of Giuseppe V. Toia'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 Giuseppe V. Toia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe V. Toia more than expected).
Fields of papers citing papers by Giuseppe V. Toia
This network shows the impact of papers produced by Giuseppe V. Toia. 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 Giuseppe V. Toia. The network helps show where Giuseppe V. Toia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Giuseppe V. Toia, 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 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 3 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 1 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 9 | |
| 11 | 2024 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 3 | |
| 15 | 2023 | 12 | |
| 16 | 2021 | 28 | |
| 17 | 2018 | 12 | |
| 18 | 2018 | 44 | |
| 19 | 2015 | 13 | |
| 20 | 2011 | 14 |
About Giuseppe V. Toia
Giuseppe V. Toia is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Oral Surgery, having authored 30 papers that have together received 275 indexed citations. Recurring topics across this work include Radiation Dose and Imaging (19 papers), Advanced X-ray and CT Imaging (19 papers), Medical Imaging Techniques and Applications (12 papers), Dental Radiography and Imaging (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Tuberous Sclerosis Complex Research (1 paper) and Renal cell carcinoma treatment (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (178 citations), Biomedical Engineering (164 citations) and Hepatology (21 citations). Giuseppe V. Toia has collaborated with scholars based in United States, Spain and Malaysia. Frequent co-authors include Timothy P. Szczykutowicz, Amar Dhanantwari, Brian Nett, Achille Mileto, Daniel S. Hippe, Carolyn L. Wang, Dushyant V. Sahani, Theodore J. Dubinsky, Jonathan Revels and Todd N. Erpelding. Their work appears in journals such as Radiology, Experimental Neurology and American Journal of Roentgenology.
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.