Giulio Vara
Impact in
- Health Informatics top 5%
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
Papers in
- Surgery 15
-
- Radiomics and Machine Learning in Medical Imaging 9
- COVID-19 diagnosis using AI 4
- Medical Imaging Techniques and Applications 4
- Co-authors
- Rita Golfieri (22 shared papers)Nicolò Brandi (7 shared papers)Matteo Renzulli (10 shared papers)Cristina Mosconi (6 shared papers)Alberta Cappelli (4 shared papers)Alessandro Bevilacqua (2 shared papers)Francesca Coppola (3 shared papers)Leonardo Solaini (1 shared paper)
In The Last Decade
Giulio Vara
44 papers receiving 394 citations
Peers
Comparison fields: 5 of 77
- Health Informatics 27
- Hepatology 73
- Obstetrics and Gynecology 43
- Radiology, Nuclear Medicine and Imaging 110
- Pulmonary and Respiratory Medicine 95
Countries citing papers authored by Giulio Vara
This map shows the geographic impact of Giulio Vara'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 Giulio Vara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulio Vara more than expected).
Fields of papers citing papers by Giulio Vara
This network shows the impact of papers produced by Giulio Vara. 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 Giulio Vara. The network helps show where Giulio Vara may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulio Vara, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 71 | |
| 2 | 2021 | 42 | |
| 3 | 2018 | 35 | |
| 4 | 2020 | 24 | |
| 5 | 2022 | 21 | |
| 6 | 2022 | 18 | |
| 7 | 2022 | 16 | |
| 8 | 2020 | 14 | |
| 9 | 2022 | 13 | |
| 10 | 2018 | 13 | |
| 11 | 2020 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2020 | 7 | |
| 18 | 2022 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2021 | 5 |
About Giulio Vara
Giulio Vara is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Hepatology and Epidemiology, having authored 47 papers that have together received 400 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), Advanced X-ray and CT Imaging (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), COVID-19 diagnosis using AI (4 papers), Medical Imaging Techniques and Applications (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Nutrition and Health in Aging (4 papers) and Liver Disease and Transplantation (4 papers). The work is most often cited by research in Health Informatics (27 citations), Hepatology (73 citations), Obstetrics and Gynecology (43 citations), Radiology, Nuclear Medicine and Imaging (110 citations) and Pulmonary and Respiratory Medicine (95 citations). Giulio Vara has collaborated with scholars based in Italy, France and Thailand. Frequent co-authors include Rita Golfieri, Nicolò Brandi, Matteo Renzulli, Cristina Mosconi, Alberta Cappelli, Alessandro Bevilacqua, Francesca Coppola, Leonardo Solaini, Giovanni Marasco and Alessandro Cucchetti. Their work appears in journals such as Applied Sciences, Cancers, JDDG Journal der Deutschen Dermatologischen Gesellschaft, CardioVascular and Interventional Radiology and Pediatric Dermatology.
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.