Francesco La Rosa
- Epidemiology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology top 10%
- Pathology and Forensic Medicine top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Emilio DucaStefano RicciMaria Grazia CelaniRino VitaliSilvia Orengo-NaniaRon GrossEnrico RighettiGiancarlo Iannizzotto
- Topics
- Global Cancer Incidence and Screening (20 papers)Colorectal Cancer Screening and Detection (16 papers)Multiple Sclerosis Research Studies (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Applied PhysicsBrain
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Francesco La Rosa
103 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 136
- Epidemiology 398
- Radiology, Nuclear Medicine and Imaging 280
- Oncology 271
- Pathology and Forensic Medicine 259
- Pulmonary and Respiratory Medicine 225
Countries citing papers authored by Francesco La Rosa
This map shows the geographic impact of Francesco La Rosa'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 Francesco La Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco La Rosa more than expected).
Fields of papers citing papers by Francesco La Rosa
This network shows the impact of papers produced by Francesco La Rosa. 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 Francesco La Rosa. The network helps show where Francesco La Rosa may publish in the future.
Co-authorship network of co-authors of Francesco La Rosa
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco La Rosa. A scholar is included among the top collaborators of Francesco La Rosa 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 Francesco La Rosa. Francesco La Rosa 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 | 0 | |
| 4 | 6 | |
| 5 | 34 | |
| 6 | 82 | |
| 7 | 4 | |
| 8 | 43 | |
| 9 | 4 | |
| 10 | A novel segmentation framework for uveal melanoma in magnetic resonance imaging based on class activation maps | 3 |
| 11 | Differential diagnosis of multiple sclerosis with machine learning-based central vein sign recognition | 1 |
| 12 | 2 | |
| 13 | 36 | |
| 14 | 15 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 7 | |
| 18 | 17 | |
| 19 | [Tobacco smoke and malignant tumors. Analysis by birth cohorts from 1875 to 1935]. | 3 |
| 20 | 9 |
About Francesco La Rosa
Francesco La Rosa is a scholar working on Human-Computer Interaction, Oncology and Pathology and Forensic Medicine, having authored 110 papers that have together received 1.5k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (20 papers), Colorectal Cancer Screening and Detection (16 papers) and Multiple Sclerosis Research Studies (12 papers). The work is most often cited by research in Pathology and Forensic Medicine (259 citations), Ophthalmology (126 citations) and Radiology, Nuclear Medicine and Imaging (280 citations). Francesco La Rosa has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Emilio Duca, Stefano Ricci, Maria Grazia Celani, Rino Vitali, Silvia Orengo-Nania, Ron Gross, Enrico Righetti, Giancarlo Iannizzotto, Meritxell Bach Cuadra and Cristina Granziera. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Brain.
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.