Federica Sabia
- Pulmonary and Respiratory Medicine top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology
- Infectious Diseases
- Molecular Biology
- Co-authors
- Ugo PastorinoAlfonso MarchianòStefano SestiniGabriella SozziMattia BoeriNicola SverzellatiMario SilvaAnna Cantarutti
- Topics
- Lung Cancer Diagnosis and Treatment (18 papers)Radiomics and Machine Learning in Medical Imaging (11 papers)Lung Cancer Treatments and Mutations (5 papers)
- Cited by
- Pulmonary and Respiratory MedicineRadiology, Nuclear Medicine and ImagingOtorhinolaryngology
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Federica Sabia
24 papers receiving 744 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Pulmonary and Respiratory Medicine 505
- Radiology, Nuclear Medicine and Imaging 298
- Oncology 161
- Infectious Diseases 87
- Molecular Biology 70
Countries citing papers authored by Federica Sabia
This map shows the geographic impact of Federica Sabia'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 Federica Sabia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federica Sabia more than expected).
Fields of papers citing papers by Federica Sabia
This network shows the impact of papers produced by Federica Sabia. 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 Federica Sabia. The network helps show where Federica Sabia may publish in the future.
Co-authorship network of co-authors of Federica Sabia
This figure shows the co-authorship network connecting the top 25 collaborators of Federica Sabia. A scholar is included among the top collaborators of Federica Sabia 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 Federica Sabia. Federica Sabia 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 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 10 | |
| 10 | 3 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 23 | |
| 14 | 60 | |
| 15 | 9 | |
| 16 | 24 | |
| 17 | Prolonged lung cancer screening reduced 10-year mortality in the MILD trial: new confirmation of lung cancer screening efficacybreakdown → | 359 |
| 18 | 81 | |
| 19 | 11 | |
| 20 | 1 |
About Federica Sabia
Federica Sabia is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cancer Research, having authored 28 papers that have together received 758 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (18 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Lung Cancer Treatments and Mutations (5 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (505 citations), Radiology, Nuclear Medicine and Imaging (298 citations) and Otorhinolaryngology (38 citations). Federica Sabia has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Ugo Pastorino, Alfonso Marchianò, Stefano Sestini, Gabriella Sozzi, Mattia Boeri, Nicola Sverzellati, Mario Silva, Anna Cantarutti, Giovanni Corrao and Gianluca Milanese. Their work appears in journals such as PLoS ONE, Scientific Reports and Annals of Oncology.
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.