Sabarish Narayanasamy
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- Radiation Dose and Imaging 4
- MRI in cancer diagnosis 3
- Medical Imaging Techniques and Applications 3
- Radiomics and Machine Learning in Medical Imaging 2
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- Renal and Vascular Pathologies 3
- Renal cell carcinoma treatment 2
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- Ultrasound in Clinical Applications 3
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- Advanced X-ray and CT Imaging 5
- Co-authors
- Satheesh KrishnaNicola SchiedaMatthew D. F. McInnesAdnan SheikhPrashant NagpalRobert P. ChatelainCatherine MurrayOmran Al Dandan
- Journals
- American Journal of Roentgenology (3 papers)Radiographics (3 papers)Clinical Radiology (2 papers)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Sabarish Narayanasamy
24 papers receiving 284 citations
Peers
Comparison fields: 5 of 52
- Radiology, Nuclear Medicine and Imaging 113
- Pulmonary and Respiratory Medicine 128
- Internal Medicine 13
- Health Informatics 4
- Critical Care and Intensive Care Medicine 12
Countries citing papers authored by Sabarish Narayanasamy
This map shows the geographic impact of Sabarish Narayanasamy'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 Sabarish Narayanasamy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabarish Narayanasamy more than expected).
Fields of papers citing papers by Sabarish Narayanasamy
This network shows the impact of papers produced by Sabarish Narayanasamy. 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 Sabarish Narayanasamy. The network helps show where Sabarish Narayanasamy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sabarish Narayanasamy, 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 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 7 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 18 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 3 | |
| 10 | 2021 | 7 | |
| 11 | 2020 | 34 | |
| 12 | 2020 | 10 | |
| 13 | 2018 | 9 | |
| 14 | 2018 | 55 | |
| 15 | 2018 | 24 | |
| 16 | 2017 | 65 | |
| 17 | 2016 | 1 | |
| 18 | 2016 | 5 | |
| 19 | 2015 | 2 | |
| 20 | 2015 | 1 |
About Sabarish Narayanasamy
Sabarish Narayanasamy is a scholar working on Critical Care and Intensive Care Medicine, Radiology, Nuclear Medicine and Imaging, Internal Medicine, Pulmonary and Respiratory Medicine and Surgery, having authored 25 papers that have together received 292 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (5 papers), Radiation Dose and Imaging (4 papers), MRI in cancer diagnosis (3 papers), Medical Imaging Techniques and Applications (3 papers), Renal and Vascular Pathologies (3 papers), Ultrasound in Clinical Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (113 citations), Pulmonary and Respiratory Medicine (128 citations), Internal Medicine (13 citations), Health Informatics (4 citations) and Critical Care and Intensive Care Medicine (12 citations). Sabarish Narayanasamy has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Satheesh Krishna, Nicola Schieda, Matthew D. F. McInnes, Adnan Sheikh, Prashant Nagpal, Robert P. Chatelain, Catherine Murray, Omran Al Dandan, Sarv Priya and Trevor A. Flood. Their work appears in journals such as American Journal of Roentgenology, Radiographics, Clinical Radiology, Radiology Cardiothoracic Imaging and Abdominal Radiology.
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.