Ajit Shankaranarayanan

2.6k total citations
34 papers, 2.0k citations indexed

About

Ajit Shankaranarayanan is a scholar working on Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience. According to data from OpenAlex, Ajit Shankaranarayanan has authored 34 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Atomic and Molecular Physics, and Optics and 5 papers in Cognitive Neuroscience. Recurrent topics in Ajit Shankaranarayanan's work include Advanced MRI Techniques and Applications (32 papers), Advanced Neuroimaging Techniques and Applications (16 papers) and MRI in cancer diagnosis (7 papers). Ajit Shankaranarayanan is often cited by papers focused on Advanced MRI Techniques and Applications (32 papers), Advanced Neuroimaging Techniques and Applications (16 papers) and MRI in cancer diagnosis (7 papers). Ajit Shankaranarayanan collaborates with scholars based in United States, Germany and Spain. Ajit Shankaranarayanan's 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 and has published in prestigious journals such as PLoS ONE, NeuroImage and Biological Psychiatry.

In The Last Decade

Ajit Shankaranarayanan

34 papers receiving 2.0k citations

Peers

Ajit Shankaranarayanan
Jinsoo Uh United States
Audrey P. Fan United States
Robert W. Prost United States
Hans Hoogduin Netherlands
Amy H. Herlihy United Kingdom
J. S. Leigh United States
Ajit Shankaranarayanan
Citations per year, relative to Ajit Shankaranarayanan Ajit Shankaranarayanan (= 1×) peers Wen‐Chau Wu

Countries citing papers authored by Ajit Shankaranarayanan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Ajit Shankaranarayanan

This figure shows the co-authorship network connecting the top 25 collaborators of Ajit Shankaranarayanan. A scholar is included among the top collaborators of Ajit Shankaranarayanan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ajit Shankaranarayanan. Ajit Shankaranarayanan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sarlls, Joelle E., François Lalonde, Dan Rettmann, et al.. (2018). Effectiveness of navigator-based prospective motion correction in MPRAGE data acquired at 3T. PLoS ONE. 13(6). e0199372–e0199372. 10 indexed citations
2.
Tanenbaum, Lawrence, Apostolos John Tsiouris, Thomas P. Naidich, et al.. (2017). Synthetic MRI for Clinical Neuroimaging: Results of the Magnetic Resonance Image Compilation (MAGiC) Prospective, Multicenter, Multireader Trial. American Journal of Neuroradiology. 38(6). 1103–1110. 191 indexed citations
3.
Wilmes, Lisa J., David C. Newitt, Lisa Singer, et al.. (2013). High-Resolution Diffusion-Weighted Imaging for Monitoring Breast Cancer Treatment Response. Academic Radiology. 20(5). 581–589. 36 indexed citations
4.
Shin, David, Thomas T. Liu, Eric C. Wong, Ajit Shankaranarayanan, & Youngkyoo Jung. (2012). Pseudocontinuous arterial spin labeling with optimized tagging efficiency. Magnetic Resonance in Medicine. 68(4). 1135–1144. 34 indexed citations
5.
Banerjee, Suchandrima, et al.. (2012). Parallel and partial Fourier imaging with prospective motion correction. Magnetic Resonance in Medicine. 69(2). 421–433. 11 indexed citations
6.
Dai, Weiying, Philip M. Robson, Ajit Shankaranarayanan, & David C. Alsop. (2011). Sensitivity calibration with a uniform magnetization image to improve arterial spin labeling perfusion quantification. Magnetic Resonance in Medicine. 66(6). 1590–1600. 15 indexed citations
7.
Singer, Lisa, Lisa J. Wilmes, Emine Ülkü Sarıtaş, et al.. (2011). High-resolution Diffusion-weighted Magnetic Resonance Imaging in Patients with Locally Advanced Breast Cancer. Academic Radiology. 19(5). 526–534. 65 indexed citations
8.
Brown, Timothy T., Joshua Kuperman, Matthew Erhart, et al.. (2010). Prospective motion correction of high-resolution magnetic resonance imaging data in children. NeuroImage. 53(1). 139–145. 101 indexed citations
9.
Lee, Hsu‐Lei, Ajit Shankaranarayanan, Gerald M. Pohost, & Krishna S. Nayak. (2010). Improved 3‐Tesla cardiac cine imaging using wideband. Magnetic Resonance in Medicine. 63(6). 1716–1722. 6 indexed citations
10.
Pfefferbaum, Adolf, Sandra Chanraud, Anne‐Lise Pitel, et al.. (2010). Cerebral Blood Flow in Posterior Cortical Nodes of the Default Mode Network Decreases with Task Engagement but Remains Higher than in Most Brain Regions. Cerebral Cortex. 21(1). 233–244. 95 indexed citations
11.
Pfefferbaum, Adolf, Sandra Chanraud, Anne‐Lise Pitel, et al.. (2010). Volumetric cerebral perfusion imaging in healthy adults: Regional distribution, laterality, and repeatability of pulsed continuous arterial spin labeling (PCASL). Psychiatry Research Neuroimaging. 182(3). 266–273. 57 indexed citations
12.
Dai, Weiying, Philip M. Robson, Ajit Shankaranarayanan, & David C. Alsop. (2010). Modified pulsed continuous arterial spin labeling for labeling of a single artery. Magnetic Resonance in Medicine. 64(4). 975–982. 34 indexed citations
13.
Lee, Hsu‐Lei, Ajit Shankaranarayanan, Gerald M. Pohost, & Krishna S. Nayak. (2010). Improved coronary MR angiography using wideband steady state free precession at 3 tesla with sub‐millimeter resolution. Journal of Magnetic Resonance Imaging. 31(5). 1224–1229. 6 indexed citations
14.
White, Nathan S., Ajit Shankaranarayanan, Eric Han, et al.. (2009). PROMO: Real‐time prospective motion correction in MRI using image‐based tracking. Magnetic Resonance in Medicine. 63(1). 91–105. 281 indexed citations
15.
Shankaranarayanan, Ajit, Michael K. Wendt, Andrik J. Aschoff, Jonathan S. Lewin, & Jeffrey L. Duerk. (2001). Radial keyhole sequences for low field projection reconstruction interventional MRI. Journal of Magnetic Resonance Imaging. 13(1). 142–151. 2 indexed citations
16.
Shankaranarayanan, Ajit, Michael K. Wendt, Jonathan S. Lewin, & Jeffrey L. Duerk. (2001). Two-step navigatorless correction algorithm for radialk-space MRI acquisitions. Magnetic Resonance in Medicine. 45(2). 277–288. 25 indexed citations
17.
Flask, Chris A., Daniel R. Elgort, Ajit Shankaranarayanan, et al.. (2001). A method for fast 3D tracking using tuned fiducial markers and a limited projection reconstruction FISP (LPR‐FISP) sequence. Journal of Magnetic Resonance Imaging. 14(5). 617–627. 43 indexed citations
18.
Shankaranarayanan, Ajit, Orlando P. Simonetti, Gerhard Laub, Jonathan Lewin, & Jeffrey L. Duerk. (2001). Segmented k-Space and Real-Time Cardiac Cine MR Imaging with Radial Trajectories. Radiology. 221(3). 827–836. 46 indexed citations
19.
Chung, Yiu‐Cho, et al.. (1999). Temperature measurement using echo-shifted FLASH at low field for interventional MRI. Journal of Magnetic Resonance Imaging. 9(1). 138–145. 45 indexed citations
20.

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.

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