Daniele Fresilli
- Radiology, Nuclear Medicine and Imaging top 10%
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Pulmonary and Respiratory Medicine
- Biomedical Engineering
- Co-authors
- Vito CantisaniVito D’AndreaPatrizia PaciniGiorgio GraniCarlo CatalanoF DambrosioCorrado De VitoMaija Radziņa
- Topics
- Thyroid Cancer Diagnosis and Treatment (6 papers)Ultrasound Imaging and Elastography (5 papers)Thyroid and Parathyroid Surgery (4 papers)
- Cited by
- Health InformaticsEndocrinology, Diabetes and MetabolismRadiology, Nuclear Medicine and Imaging
- Partner nations
- ItalyLatviaUnited States
In The Last Decade
Daniele Fresilli
21 papers receiving 462 citations
Peers
Comparison fields: 5 of 56
- Radiology, Nuclear Medicine and Imaging 211
- Surgery 185
- Endocrinology, Diabetes and Metabolism 170
- Pulmonary and Respiratory Medicine 86
- Biomedical Engineering 81
Countries citing papers authored by Daniele Fresilli
This map shows the geographic impact of Daniele Fresilli'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 Daniele Fresilli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele Fresilli more than expected).
Fields of papers citing papers by Daniele Fresilli
This network shows the impact of papers produced by Daniele Fresilli. 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 Daniele Fresilli. The network helps show where Daniele Fresilli may publish in the future.
Co-authorship network of co-authors of Daniele Fresilli
This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Fresilli. A scholar is included among the top collaborators of Daniele Fresilli 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 Daniele Fresilli. Daniele Fresilli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 21 | |
| 6 | 29 | |
| 7 | 8 | |
| 8 | 15 | |
| 9 | 8 | |
| 10 | 15 | |
| 11 | 9 | |
| 12 | 39 | |
| 13 | 31 | |
| 14 | 39 | |
| 15 | 6 | |
| 16 | 15 | |
| 17 | 30 | |
| 18 | 34 | |
| 19 | 36 | |
| 20 | 36 |
About Daniele Fresilli
Daniele Fresilli is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging and Transplantation, having authored 22 papers that have together received 465 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (6 papers), Ultrasound Imaging and Elastography (5 papers) and Thyroid and Parathyroid Surgery (4 papers). The work is most often cited by research in Health Informatics (21 citations), Endocrinology, Diabetes and Metabolism (170 citations) and Radiology, Nuclear Medicine and Imaging (211 citations). Daniele Fresilli has collaborated with scholars based in Italy, Latvia and United States. Frequent co-authors include Vito Cantisani, Vito D’Andrea, Patrizia Pacini, Giorgio Grani, Carlo Catalano, F Dambrosio, Corrado De Vito, Maija Radziņa, Cosimo Durante and Emanuele David. Their work appears in journals such as BioMed Research International, Cancers and Applied Sciences.
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.