Inès Saab
Impact in
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- COVID-19 Clinical Research Studies 4
-
- Long-Term Effects of COVID-19 1
- Co-authors
- Guillaume Chassagnon (6 shared papers)Séverine Dangeard (3 shared papers)Souhail Bennani (3 shared papers)Marie-Pierre Revel (2 shared papers)Chahinez Hani (1 shared paper)Marie‐Pierre Revel (4 shared papers)Mickaël Tordjman (4 shared papers)Laure Fournier (1 shared paper)
- Journals
- Diagnostic and Interventional Imaging (2 papers)European Respiratory Journal (1 paper)European Journal of Radiology (1 paper)Arthritis Research & Therapy (1 paper)PLoS ONE (1 paper)
- Partner nations
- FranceUnited States
In The Last Decade
Inès Saab
6 papers receiving 621 citations
Inès Saab's Hit Papers
Peers
Comparison fields: 5 of 67
- Internal Medicine 74
- Infectious Diseases 323
- Critical Care and Intensive Care Medicine 61
- Radiology, Nuclear Medicine and Imaging 199
- Neurology 107
Countries citing papers authored by Inès Saab
This map shows the geographic impact of Inès Saab'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 Inès Saab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inès Saab more than expected).
Fields of papers citing papers by Inès Saab
This network shows the impact of papers produced by Inès Saab. 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 Inès Saab. The network helps show where Inès Saab may publish in the future.
Co-authors
The 24 scholars most cited alongside Inès Saab, 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 | COVID-19 pneumonia: A review of typical CT findings and differential diagnosis Hit paper breakdown → | 2020 | 308 |
| 2 | 2020 | 264 | |
| 3 | 2020 | 36 | |
| 4 | 2020 | 17 | |
| 5 | 2020 | 8 | |
| 6 | 2022 | 6 |
About Inès Saab
Inès Saab is a scholar working on Infectious Diseases, Neurology, Internal Medicine, Rheumatology and Radiology, Nuclear Medicine and Imaging, having authored 6 papers that have together received 639 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Otitis Media and Relapsing Polychondritis (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Long-Term Effects of COVID-19 (1 paper), COVID-19 diagnosis using AI (1 paper) and Hematological disorders and diagnostics (1 paper). The work is most often cited by research in Internal Medicine (74 citations), Infectious Diseases (323 citations), Critical Care and Intensive Care Medicine (61 citations), Radiology, Nuclear Medicine and Imaging (199 citations) and Neurology (107 citations). Inès Saab has collaborated with scholars based in France and United States. Frequent co-authors include Guillaume Chassagnon, Séverine Dangeard, Souhail Bennani, Marie-Pierre Revel, Chahinez Hani, Marie‐Pierre Revel, Mickaël Tordjman, Laure Fournier, Olivier Sanchez and Hendy Abdoul. Their work appears in journals such as Diagnostic and Interventional Imaging, European Respiratory Journal, European Journal of Radiology, Arthritis Research & Therapy and PLoS ONE.
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.