Valentina Brancato
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Epidemiology
- Health, Toxicology and Mutagenesis
- Physiology
- Co-authors
- Marco SalvatoreCarlo CavaliereMarco AielloSerena MontiLuca BassoCarolina Di SommaFrancesco OrioGiovanni Tarantino
- Topics
- Radiomics and Machine Learning in Medical Imaging (19 papers)MRI in cancer diagnosis (12 papers)Prostate Cancer Diagnosis and Treatment (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaDiabetes CareScientific Reports
- Partner nations
- ItalyCzechiaUnited Kingdom
In The Last Decade
Valentina Brancato
37 papers receiving 551 citations
Peers
Comparison fields: 5 of 86
- Radiology, Nuclear Medicine and Imaging 225
- Pulmonary and Respiratory Medicine 135
- Epidemiology 66
- Health, Toxicology and Mutagenesis 59
- Physiology 59
Countries citing papers authored by Valentina Brancato
This map shows the geographic impact of Valentina Brancato'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 Valentina Brancato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentina Brancato more than expected).
Fields of papers citing papers by Valentina Brancato
This network shows the impact of papers produced by Valentina Brancato. 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 Valentina Brancato. The network helps show where Valentina Brancato may publish in the future.
Co-authorship network of co-authors of Valentina Brancato
This figure shows the co-authorship network connecting the top 25 collaborators of Valentina Brancato. A scholar is included among the top collaborators of Valentina Brancato 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 Valentina Brancato. Valentina Brancato 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 | 1 | |
| 3 | 0 | |
| 4 | 34 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 11 | |
| 10 | 18 | |
| 11 | 20 | |
| 12 | 22 | |
| 13 | 8 | |
| 14 | 32 | |
| 15 | 19 | |
| 16 | 2 | |
| 17 | 25 | |
| 18 | 17 | |
| 19 | 37 | |
| 20 | 34 |
About Valentina Brancato
Valentina Brancato is a scholar working on Radiology, Nuclear Medicine and Imaging, Structural Biology and Hepatology, having authored 39 papers that have together received 566 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (19 papers), MRI in cancer diagnosis (12 papers) and Prostate Cancer Diagnosis and Treatment (7 papers). The work is most often cited by research in Health Informatics (17 citations), Radiology, Nuclear Medicine and Imaging (225 citations) and Reproductive Medicine (50 citations). Valentina Brancato has collaborated with scholars based in Italy, Czechia and United Kingdom. Frequent co-authors include Marco Salvatore, Carlo Cavaliere, Marco Aiello, Serena Monti, Luca Basso, Carolina Di Somma, Francesco Orio, Giovanni Tarantino, Silvia Savastano and Rossella Valentino. Their work appears in journals such as SHILAP Revista de lepidopterología, Diabetes Care and Scientific Reports.
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.