Babak Saboury
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education 12
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- Medical Imaging Techniques and Applications 58
- Radiomics and Machine Learning in Medical Imaging 44
- Radiopharmaceutical Chemistry and Applications 18
- Cardiac Imaging and Diagnostics 11
- Immunology top 2%
- Oncology top 2%
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- Cerebrovascular and Carotid Artery Diseases 11
- Medical Imaging and Pathology Studies 8
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- Advanced X-ray and CT Imaging 16
- Co-authors
- Drew A. TorigianAbass AlaviE. Gabriela ChioreanUrsina TeitelbaumGregory L. BeattyWeijing SunPeter J. O’DwyerRobert H. Vonderheide
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Babak Saboury
153 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Health Informatics 228
- Radiology, Nuclear Medicine and Imaging 1.8k
- Immunology 1.3k
- Oncology 1.5k
- Pulmonary and Respiratory Medicine 847
Countries citing papers authored by Babak Saboury
This map shows the geographic impact of Babak Saboury'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 Babak Saboury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Babak Saboury more than expected).
Fields of papers citing papers by Babak Saboury
This network shows the impact of papers produced by Babak Saboury. 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 Babak Saboury. The network helps show where Babak Saboury may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Babak Saboury, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 5 | |
| 11 | Artificial Intelligence-Based Detection, Classification and Prediction/Prognosis in PET Imaging: Towards Radiophenomics | 2021 | 1 |
| 12 | 2021 | 9 | |
| 13 | 2019 | 6 | |
| 14 | 2017 | 6 | |
| 15 | 2017 | 8 | |
| 16 | 2016 | 6 | |
| 17 | Skin Prick Test Reactivity to Common Aero and Food Allergens among Children with Allergy | 2014 | 17 |
| 18 | 2013 | 364 | |
| 19 | 2013 | 28 | |
| 20 | 2012 | 8 |
About Babak Saboury
Babak Saboury is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 161 papers that have together received 4.8k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (58 papers), Radiomics and Machine Learning in Medical Imaging (44 papers), Radiopharmaceutical Chemistry and Applications (18 papers), Advanced X-ray and CT Imaging (16 papers), Artificial Intelligence in Healthcare and Education (12 papers), Cardiac Imaging and Diagnostics (11 papers), Cerebrovascular and Carotid Artery Diseases (11 papers) and Medical Imaging and Pathology Studies (8 papers). The work is most often cited by research in Health Informatics (228 citations), Radiology, Nuclear Medicine and Imaging (1.8k citations) and Immunology (1.3k citations). Babak Saboury has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Drew A. Torigian, Abass Alavi, E. Gabriela Chiorean, Ursina Teitelbaum, Gregory L. Beatty, Weijing Sun, Peter J. O’Dwyer, Robert H. Vonderheide, Richard D. Huhn and Leslie L. Sharp. Their work appears in journals such as Science, Nature Medicine and Journal of Clinical 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.