Pascal Lomoro
Impact in
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- Ultrasound in Clinical Applications
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- COVID-19 diagnosis using AI
- Radiology practices and education
Papers in
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- COVID-19 diagnosis using AI 3
- Medical Imaging Techniques and Applications 1
- Surgery 4
- Case Reports on Hematomas 1
- Co-authors
- Igino Simonetti (8 shared papers)Francesco Verde (4 shared papers)C. Borghi (1 shared paper)Alberto Martegani (1 shared paper)Giulio Cocco (1 shared paper)Ferdinando Draghi (2 shared papers)Chandra Bortolotto (2 shared papers)Cosima Schiavone (1 shared paper)
In The Last Decade
Pascal Lomoro
14 papers receiving 291 citations
Peers
Comparison fields: 5 of 50
- Critical Care and Intensive Care Medicine 109
- Radiology, Nuclear Medicine and Imaging 142
- Health Informatics 8
- Infectious Diseases 79
- Pulmonary and Respiratory Medicine 77
Countries citing papers authored by Pascal Lomoro
This map shows the geographic impact of Pascal Lomoro'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 Pascal Lomoro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Lomoro more than expected).
Fields of papers citing papers by Pascal Lomoro
This network shows the impact of papers produced by Pascal Lomoro. 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 Pascal Lomoro. The network helps show where Pascal Lomoro may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascal Lomoro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 192 | |
| 2 | 2020 | 22 | |
| 3 | 2019 | 15 | |
| 4 | 2018 | 12 | |
| 5 | 2019 | 9 | |
| 6 | 2020 | 8 | |
| 7 | 2020 | 8 | |
| 8 | 2019 | 8 | |
| 9 | 2020 | 7 | |
| 10 | House dust mite sublingual-swallow immunotherapy in perennial rhinitis: a double-blind, placebo-controlled Iranian study. | 2018 | 5 |
| 11 | 2021 | 4 | |
| 12 | 2022 | 2 | |
| 13 | 2020 | 2 | |
| 14 | 2020 | 1 | |
| 15 | 2020 | 0 |
About Pascal Lomoro
Pascal Lomoro is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Critical Care and Intensive Care Medicine, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 295 indexed citations. Recurring topics across this work include Ultrasound in Clinical Applications (4 papers), COVID-19 diagnosis using AI (3 papers), COVID-19 Clinical Research Studies (2 papers), Soft tissue tumor case studies (1 paper), Breast Cancer Treatment Studies (1 paper), Medical Imaging Techniques and Applications (1 paper), Case Reports on Hematomas (1 paper) and Allergic Rhinitis and Sensitization (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (109 citations), Radiology, Nuclear Medicine and Imaging (142 citations), Health Informatics (8 citations), Infectious Diseases (79 citations) and Pulmonary and Respiratory Medicine (77 citations). Pascal Lomoro has collaborated with scholars based in Italy, India and Belarus. Frequent co-authors include Igino Simonetti, Francesco Verde, C. Borghi, Alberto Martegani, Giulio Cocco, Ferdinando Draghi, Chandra Bortolotto, Cosima Schiavone, R Cassone and Chiara Paganelli. Their work appears in journals such as Neuroradiology, Acta Radiologica, Journal of Computer Assisted Tomography, European Radiology and Journal of Ultrasound.
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.