Ajit Shankaranarayanan
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- Advanced MRI Techniques and Applications 32
- Advanced Neuroimaging Techniques and Applications 16
- MRI in cancer diagnosis 7
- Medical Imaging Techniques and Applications 7
- Cardiac Imaging and Diagnostics 6
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies 5
- Neurology top 10%
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- Cerebrovascular and Carotid Artery Diseases 4
- Genetics top 10%
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- Atomic and Subatomic Physics Research 7
- Co-authors
- David C. AlsopWeiying DaiPhilip M. RobsonDan RettmannNathan S. WhiteEric HanAnders M. DaleJuan M. Santos
- Partner nations
- United StatesGermanySpain
In The Last Decade
Ajit Shankaranarayanan
34 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 101
- Radiology, Nuclear Medicine and Imaging 1.6k
- Cognitive Neuroscience 453
- Neurology 149
- Pulmonary and Respiratory Medicine 266
- Genetics 85
Countries citing papers authored by Ajit Shankaranarayanan
This map shows the geographic impact of Ajit Shankaranarayanan'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 Ajit Shankaranarayanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajit Shankaranarayanan more than expected).
Fields of papers citing papers by Ajit Shankaranarayanan
This network shows the impact of papers produced by Ajit Shankaranarayanan. 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 Ajit Shankaranarayanan. The network helps show where Ajit Shankaranarayanan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ajit Shankaranarayanan, 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 | 2018 | 10 | |
| 2 | 2017 | 191 | |
| 3 | 2013 | 36 | |
| 4 | 2012 | 34 | |
| 5 | 2012 | 11 | |
| 6 | 2011 | 15 | |
| 7 | 2011 | 65 | |
| 8 | 2010 | 101 | |
| 9 | 2010 | 6 | |
| 10 | 2010 | 95 | |
| 11 | 2010 | 57 | |
| 12 | 2010 | 34 | |
| 13 | 2010 | 6 | |
| 14 | 2009 | 281 | |
| 15 | 2001 | 2 | |
| 16 | 2001 | 25 | |
| 17 | 2001 | 43 | |
| 18 | 2001 | 46 | |
| 19 | 1999 | 45 | |
| 20 | 1999 | 24 |
About Ajit Shankaranarayanan
Ajit Shankaranarayanan is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Atomic and Molecular Physics, and Optics, having authored 34 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (32 papers), Advanced Neuroimaging Techniques and Applications (16 papers), MRI in cancer diagnosis (7 papers), Medical Imaging Techniques and Applications (7 papers), Atomic and Subatomic Physics Research (7 papers), Cardiac Imaging and Diagnostics (6 papers), Functional Brain Connectivity Studies (5 papers) and Cerebrovascular and Carotid Artery Diseases (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.6k citations), Cognitive Neuroscience (453 citations) and Neurology (149 citations). Ajit Shankaranarayanan has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include David C. Alsop, Weiying Dai, Philip M. Robson, Dan Rettmann, Nathan S. White, Eric Han, Anders M. Dale, Juan M. Santos, Jeffrey L. Duerk and Adolf Pfefferbaum. Their work appears in journals such as PLoS ONE, NeuroImage and Biological Psychiatry.
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.