Federica Sabia

1.3k citations
28 papers · 758 indexed · 1 hit paper · h-index 10

Federica Sabia

24 papers receiving 744 citations

Hit Papers

Prolonged lung cancer screening reduced 10-year mortality...3592019202620212023100200300

Peers

Federica Sabia
Comparison fields: 5 of 76
  • Pulmonary and Respiratory Medicine 505
  • Radiology, Nuclear Medicine and Imaging 298
  • Otorhinolaryngology 38
  • Modeling and Simulation 37
  • Oncology 161
Replace Stefano Sestini with:
Stefano Sestini Italy
Latifa A. Bazzi United States
Christopher Robertson United Kingdom
Pegah Khoshpouri United States
Simon K. B. Spohn Germany
Franchette van den Berkmortel Netherlands
Clarisse Joachim Martinique
Tania Tang United States
Jennifer M. Matro United States
Federica Sabia relative to Stefano Sestini Italy Stefano Sestini's profile →
Citations per field
00.5×1.5×
Stefano Sestini · 1×
Citations per year

Countries citing papers authored by Federica Sabia

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Federica Sabia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Federica Sabia Line = papers co-authored together Federica Sabia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20260
2 20250
3 20250
4 20246
5 20241
6 20241
7 20243
8 20237
9 202310
10 20233
11 20238
12 20231
13 202223
14 202260
15 20219
16 202024
17
Prolonged lung cancer screening reduced 10-year mortality in the MILD trial: new confirmation of lung cancer screening efficacybreakdown →
2019359
18 201981
19 201911
20 20181

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), Lung Cancer Treatments and Mutations (5 papers), Medical Imaging Techniques and Applications (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Cancer-related molecular mechanisms research (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 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 Journal of Thoracic Oncology, Annals of Oncology, European Radiology, European Journal of Radiology and Nutrients.

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.

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