Sarv Priya
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
Papers in
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- Radiomics and Machine Learning in Medical Imaging 10
- Cardiac Imaging and Diagnostics 6
- Advanced MRI Techniques and Applications 5
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- Aortic Disease and Treatment Approaches 7
- Co-authors
- Girish Bathla (20 shared papers)Neetu Soni (17 shared papers)Prashant Nagpal (25 shared papers)Caitlin Ward (12 shared papers)Michael L. Steigner (4 shared papers)Arun Sharma (4 shared papers)Varun Monga (6 shared papers)Richard Thomas (1 shared paper)
- Journals
- Journal of cardiovascular computed tomography (4 papers)Academic Radiology (4 papers)Journal of Cardiovascular Magnetic Resonance (2 papers)Cancers (2 papers)Journal of Stroke and Cerebrovascular Diseases (2 papers)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Sarv Priya
66 papers receiving 606 citations
Peers
Comparison fields: 5 of 68
- Genetics 162
- Radiology, Nuclear Medicine and Imaging 190
- Health Informatics 11
- Internal Medicine 20
- Pulmonary and Respiratory Medicine 159
Countries citing papers authored by Sarv Priya
This map shows the geographic impact of Sarv Priya'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 Sarv Priya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarv Priya more than expected).
Fields of papers citing papers by Sarv Priya
This network shows the impact of papers produced by Sarv Priya. 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 Sarv Priya. The network helps show where Sarv Priya may publish in the future.
Co-authors
The 25 scholars most cited alongside Sarv Priya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 80 | |
| 2 | 2018 | 69 | |
| 3 | 2021 | 47 | |
| 4 | 2021 | 34 | |
| 5 | 2020 | 27 | |
| 6 | 2021 | 22 | |
| 7 | 2022 | 20 | |
| 8 | 2021 | 20 | |
| 9 | 2023 | 20 | |
| 10 | 2022 | 19 | |
| 11 | 2019 | 19 | |
| 12 | 2021 | 18 | |
| 13 | 2021 | 17 | |
| 14 | 2020 | 17 | |
| 15 | 2021 | 15 | |
| 16 | 2020 | 10 | |
| 17 | 2020 | 9 | |
| 18 | 2019 | 9 | |
| 19 | 2021 | 9 | |
| 20 | 2022 | 8 |
About Sarv Priya
Sarv Priya is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Epidemiology, Genetics and Biomedical Engineering, having authored 75 papers that have together received 616 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Congenital Heart Disease Studies (9 papers), Advanced X-ray and CT Imaging (7 papers), Aortic Disease and Treatment Approaches (7 papers), Cardiac Imaging and Diagnostics (6 papers), Advanced MRI Techniques and Applications (5 papers) and Infective Endocarditis Diagnosis and Management (4 papers). The work is most often cited by research in Genetics (162 citations), Radiology, Nuclear Medicine and Imaging (190 citations), Health Informatics (11 citations), Internal Medicine (20 citations) and Pulmonary and Respiratory Medicine (159 citations). Sarv Priya has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Girish Bathla, Neetu Soni, Prashant Nagpal, Caitlin Ward, Michael L. Steigner, Arun Sharma, Varun Monga, Richard Thomas, Milan Sonka and Amit Agarwal. Their work appears in journals such as Journal of cardiovascular computed tomography, Academic Radiology, Journal of Cardiovascular Magnetic Resonance, Cancers and Journal of Stroke and Cerebrovascular Diseases.
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.