Virgilio Longari
- Infectious Diseases top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Pulmonary and Respiratory Medicine
- Neurology
- Co-authors
- Massimo CastellaniIlaria MullerMario SalviGiovanna MantovaniDavide DazziTiziana ReEmanuele FerranteEmanuela Orsi
- Topics
- Thyroid Disorders and Treatments (4 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)Bone health and treatments (2 papers)
- Partner nations
- ItalyNetherlandsUnited Kingdom
In The Last Decade
Virgilio Longari
18 papers receiving 421 citations
Peers
Comparison fields: 5 of 56
- Infectious Diseases 176
- Endocrinology, Diabetes and Metabolism 176
- Surgery 102
- Pulmonary and Respiratory Medicine 75
- Neurology 63
Countries citing papers authored by Virgilio Longari
This map shows the geographic impact of Virgilio Longari'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 Virgilio Longari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virgilio Longari more than expected).
Fields of papers citing papers by Virgilio Longari
This network shows the impact of papers produced by Virgilio Longari. 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 Virgilio Longari. The network helps show where Virgilio Longari may publish in the future.
Co-authorship network of co-authors of Virgilio Longari
This figure shows the co-authorship network connecting the top 25 collaborators of Virgilio Longari. A scholar is included among the top collaborators of Virgilio Longari 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 Virgilio Longari. Virgilio Longari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 228 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 38 | |
| 10 | 30 | |
| 11 | FDG-PET and computed tomography in diagnosis of lung hamartoma | 0 |
| 12 | 19 | |
| 13 | Staging non-small lung cancer with positron emission tomography: diagnostic value, impact on patient management, and cost-effectiveness. | 6 |
| 14 | 0 | |
| 15 | 18 | |
| 16 | 30 | |
| 17 | 7 | |
| 18 | 32 | |
| 19 | 1 | |
| 20 | Scintigraphic assessment of pituitary adenomas and several diseases by indium-111-pentetreotide. | 4 |
About Virgilio Longari
Virgilio Longari is a scholar working on Endocrinology, Diabetes and Metabolism, Dermatology and Infectious Diseases, having authored 20 papers that have together received 434 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Bone health and treatments (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (176 citations), Infectious Diseases (176 citations) and Nephrology (32 citations). Virgilio Longari has collaborated with scholars based in Italy, Netherlands and United Kingdom. Frequent co-authors include Massimo Castellani, Ilaria Muller, Mario Salvi, Giovanna Mantovani, Davide Dazzi, Tiziana Re, Emanuele Ferrante, Emanuela Orsi, Marco Cuzzocrea and Alessandra Bandera. Their work appears in journals such as Journal of Hypertension, Journal of Nuclear Medicine and The Lancet Diabetes & Endocrinology.
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.