Aparna Singhal
Impact in
- Health Informatics top 10%
-
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Cardiac Imaging and Diagnostics
Papers in
- Neurology 14
- Intracerebral and Subarachnoid Hemorrhage Research 7
- Epidemiology 13
- Acute Ischemic Stroke Management 3
- Co-authors
- Houman Sotoudeh (21 shared papers)Philip R. Chapman (7 shared papers)Mayil S. Krishnam (3 shared papers)J. Paul Finn (3 shared papers)Omid Shafaat (9 shared papers)Amir Hossein Sarrami (5 shared papers)Derek G. Lohan (3 shared papers)M. Albert Thomas (4 shared papers)
- Journals
- Investigative Radiology (3 papers)Journal of Magnetic Resonance Imaging (2 papers)Neuroradiology (1 paper)World Neurosurgery (1 paper)Neurology (1 paper)
- Partner nations
- United StatesIranIndia
In The Last Decade
Aparna Singhal
40 papers receiving 392 citations
Peers
Comparison fields: 5 of 71
- Health Informatics 19
- Radiology, Nuclear Medicine and Imaging 179
- Hepatology 41
- Neurology 69
- Genetics 29
Countries citing papers authored by Aparna Singhal
This map shows the geographic impact of Aparna Singhal'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 Aparna Singhal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aparna Singhal more than expected).
Fields of papers citing papers by Aparna Singhal
This network shows the impact of papers produced by Aparna Singhal. 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 Aparna Singhal. The network helps show where Aparna Singhal may publish in the future.
Co-authors
The 25 scholars most cited alongside Aparna Singhal, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 33 | |
| 2 | 2010 | 33 | |
| 3 | 2009 | 29 | |
| 4 | 2008 | 28 | |
| 5 | 2009 | 27 | |
| 6 | 2021 | 21 | |
| 7 | 2012 | 20 | |
| 8 | 2024 | 18 | |
| 9 | 2021 | 17 | |
| 10 | 2023 | 17 | |
| 11 | 2021 | 17 | |
| 12 | 2021 | 15 | |
| 13 | 2018 | 11 | |
| 14 | 2018 | 11 | |
| 15 | 2009 | 9 | |
| 16 | 2020 | 9 | |
| 17 | 2021 | 9 | |
| 18 | 2014 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2019 | 6 |
About Aparna Singhal
Aparna Singhal is a scholar working on Neurology, Epidemiology, Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine, having authored 44 papers that have together received 403 indexed citations. Recurring topics across this work include Intracerebral and Subarachnoid Hemorrhage Research (7 papers), Advanced MRI Techniques and Applications (5 papers), MRI in cancer diagnosis (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Cardiac Imaging and Diagnostics (3 papers), Glioma Diagnosis and Treatment (3 papers), Acute Ischemic Stroke Management (3 papers) and Intraocular Surgery and Lenses (3 papers). The work is most often cited by research in Health Informatics (19 citations), Radiology, Nuclear Medicine and Imaging (179 citations), Hepatology (41 citations), Neurology (69 citations) and Genetics (29 citations). Aparna Singhal has collaborated with scholars based in United States, Iran and India. Frequent co-authors include Houman Sotoudeh, Philip R. Chapman, Mayil S. Krishnam, J. Paul Finn, Omid Shafaat, Amir Hossein Sarrami, Derek G. Lohan, M. Albert Thomas, Zahra Saadatpour and Gerhard Laub. Their work appears in journals such as Investigative Radiology, Journal of Magnetic Resonance Imaging, Neuroradiology, World Neurosurgery and Neurology.
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.