Sandeepa Sur
Impact in
- Neurology top 10%
- Traumatic Brain Injury and Neurovascular Disturbances
-
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
Papers in
-
- Functional Brain Connectivity Studies 5
- EEG and Brain-Computer Interfaces 2
- Neural and Behavioral Psychology Studies 2
-
- Advanced MRI Techniques and Applications 7
- Co-authors
- Hanzhang Lu (10 shared papers)Peiying Liu (9 shared papers)Marilyn Albert (7 shared papers)Zixuan Lin (9 shared papers)Sevil Yaşar (7 shared papers)Paul B. Rosenberg (7 shared papers)Yang Li (4 shared papers)Abhay Moghekar (6 shared papers)
- Journals
- NeuroImage (2 papers)Neurology (2 papers)Journal of Magnetic Resonance Imaging (2 papers)Journal of Cerebral Blood Flow & Metabolism (2 papers)Alzheimer s & Dementia (1 paper)
- Partner nations
- United StatesPolandTaiwan
In The Last Decade
Sandeepa Sur
15 papers receiving 485 citations
Peers
Comparison fields: 5 of 72
- Neurology 71
- Radiology, Nuclear Medicine and Imaging 192
- Neurology 112
- Cognitive Neuroscience 123
- Psychiatry and Mental health 77
Countries citing papers authored by Sandeepa Sur
This map shows the geographic impact of Sandeepa Sur'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 Sandeepa Sur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandeepa Sur more than expected).
Fields of papers citing papers by Sandeepa Sur
This network shows the impact of papers produced by Sandeepa Sur. 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 Sandeepa Sur. The network helps show where Sandeepa Sur may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandeepa Sur, 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 | 2014 | 101 | |
| 2 | 2021 | 97 | |
| 3 | 2018 | 67 | |
| 4 | 2020 | 52 | |
| 5 | 2020 | 45 | |
| 6 | 2019 | 26 | |
| 7 | 2020 | 26 | |
| 8 | 2019 | 24 | |
| 9 | 2014 | 19 | |
| 10 | 2019 | 12 | |
| 11 | 2021 | 10 | |
| 12 | 2019 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2020 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2024 | 0 |
About Sandeepa Sur
Sandeepa Sur is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Neurology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 490 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (7 papers), Functional Brain Connectivity Studies (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Cardiovascular Health and Disease Prevention (3 papers), Dementia and Cognitive Impairment Research (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), EEG and Brain-Computer Interfaces (2 papers) and Neural and Behavioral Psychology Studies (2 papers). The work is most often cited by research in Neurology (71 citations), Radiology, Nuclear Medicine and Imaging (192 citations), Neurology (112 citations), Cognitive Neuroscience (123 citations) and Psychiatry and Mental health (77 citations). Sandeepa Sur has collaborated with scholars based in United States, Poland and Taiwan. Frequent co-authors include Hanzhang Lu, Peiying Liu, Marilyn Albert, Zixuan Lin, Sevil Yaşar, Paul B. Rosenberg, Yang Li, Abhay Moghekar, Jay J. Pillai and Dengrong Jiang. Their work appears in journals such as NeuroImage, Neurology, Journal of Magnetic Resonance Imaging, Journal of Cerebral Blood Flow & Metabolism and Alzheimer s & Dementia.
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.