Niranjan Balu

3.4k total citations
96 papers, 2.3k citations indexed

About

Niranjan Balu is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Niranjan Balu has authored 96 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Pulmonary and Respiratory Medicine, 57 papers in Radiology, Nuclear Medicine and Imaging and 37 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Niranjan Balu's work include Cerebrovascular and Carotid Artery Diseases (74 papers), Advanced MRI Techniques and Applications (36 papers) and Cardiovascular Health and Disease Prevention (32 papers). Niranjan Balu is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (74 papers), Advanced MRI Techniques and Applications (36 papers) and Cardiovascular Health and Disease Prevention (32 papers). Niranjan Balu collaborates with scholars based in United States, China and United Kingdom. Niranjan Balu's co-authors include Chun Yuan, Thomas S. Hatsukami, Baocheng Chu, Jinnan Wang, Vasily L. Yarnykh, Daniel S. Hippe, Jie Sun, Mahmud Mossa‐Basha, Gádor Cantón and Xihai Zhao and has published in prestigious journals such as PLoS ONE, Stroke and Scientific Reports.

In The Last Decade

Niranjan Balu

89 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Niranjan Balu United States 24 1.7k 994 876 637 424 96 2.3k
Xihai Zhao China 23 1.4k 0.8× 621 0.6× 867 1.0× 677 1.1× 335 0.8× 136 1.9k
Hediyeh Baradaran United States 22 1.4k 0.8× 518 0.5× 928 1.1× 911 1.4× 457 1.1× 71 2.0k
Jie Sun United States 24 1.1k 0.6× 859 0.9× 698 0.8× 484 0.8× 286 0.7× 92 2.0k
Anja G. van der Kolk Netherlands 22 1.0k 0.6× 571 0.6× 261 0.3× 593 0.9× 611 1.4× 67 1.6k
Gádor Cantón United States 21 1.1k 0.7× 447 0.4× 679 0.8× 310 0.5× 332 0.8× 65 1.6k
G. Mallarini Italy 28 1.0k 0.6× 345 0.3× 645 0.7× 576 0.9× 220 0.5× 82 2.0k
Carl‐Martin Kirsch Germany 26 1.0k 0.6× 1.5k 1.5× 246 0.3× 252 0.4× 533 1.3× 59 2.8k
Shan Gao China 19 1.4k 0.8× 310 0.3× 414 0.5× 1.0k 1.6× 731 1.7× 53 1.7k
Kambiz Nael United States 31 1.0k 0.6× 1.7k 1.7× 201 0.2× 833 1.3× 603 1.4× 145 2.9k
Tobias Boeckh‐Behrens Germany 29 1.2k 0.7× 479 0.5× 280 0.3× 1.7k 2.7× 622 1.5× 120 2.7k

Countries citing papers authored by Niranjan Balu

Since Specialization
Citations

This map shows the geographic impact of Niranjan Balu'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 Niranjan Balu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niranjan Balu more than expected).

Fields of papers citing papers by Niranjan Balu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Niranjan Balu. 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 Niranjan Balu. The network helps show where Niranjan Balu may publish in the future.

Co-authorship network of co-authors of Niranjan Balu

This figure shows the co-authorship network connecting the top 25 collaborators of Niranjan Balu. A scholar is included among the top collaborators of Niranjan Balu 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 Niranjan Balu. Niranjan Balu 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.
Kim, Seong‐Eun, J. Rock Hadley, John A. Roberts, et al.. (2025). Qualitative and quantitative reproducibility of 3D MERGE and SNAP sequences for carotid vessel wall imaging across Siemens and Philips 3T scanners. Quantitative Imaging in Medicine and Surgery. 15(4). 3111–3122. 1 indexed citations
2.
Zhang, Kaiyu, Gádor Cantón, Yin Guo, et al.. (2024). Estimating Flow Direction of Circle of Willis Using Dynamic Arterial Spin-Labeling MR Angiography. American Journal of Neuroradiology. 45(10). 1419–1426.
3.
Balu, Niranjan, Kaiyu Zhang, Thomas S. Hatsukami, & Chun Yuan. (2024). 3D Isotropic black-blood cine MRI of intracranial arteries. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.
4.
Cantón, Gádor, et al.. (2024). DANTE-CAIPI Accelerated Contrast-Enhanced 3D T1: Deep Learning–Based Image Quality Improvement for Vessel Wall MRI. American Journal of Neuroradiology. 46(1). 49–56. 2 indexed citations
5.
Cantón, Gádor, Daniel S. Hippe, Jie Sun, et al.. (2024). Pathophysiology of carotid atherosclerosis: Calcification, intraplaque haemorrhage and pulse pressure as key players. European Journal of Radiology. 178. 111647–111647. 3 indexed citations
6.
Sui, Binbin, Chengcheng Zhu, Niranjan Balu, et al.. (2023). Report from the society of magnetic resonance angiography: clinical applications of 7T neurovascular MR in the assessment of intracranial vascular disease. Journal of NeuroInterventional Surgery. 16(8). 846–851. 6 indexed citations
7.
Shirakawa, Manabu, Kiyofumi Yamada, Hiroko Watase, et al.. (2023). Atherosclerotic carotid plaque characteristics vary with time from ischemic event: A multicenter, prospective magnetic resonance vessel wall imaging registry study. Journal of the Neurological Sciences. 446. 120582–120582. 1 indexed citations
8.
Mossa‐Basha, Mahmud, Chun Yuan, Bruce A. Wasserman, et al.. (2022). Survey of the American Society of Neuroradiology Membership on the Use and Value of Extracranial Carotid Vessel Wall MRI. American Journal of Neuroradiology. 43(12). 1756–1761. 4 indexed citations
9.
Zhang, Kaiyu, Zhensen Chen, Li Chen, et al.. (2022). Alterations in cerebral distal vascular features and effect on cognition in a high cardiovascular risk population: A prospective longitudinal study. Magnetic Resonance Imaging. 98. 36–43. 3 indexed citations
10.
Chen, Li, Jie Sun, Gádor Cantón, et al.. (2020). Automated Artery Localization and Vessel Wall Segmentation Using Tracklet Refinement and Polar Conversion. IEEE Access. 8. 217603–217614. 16 indexed citations
11.
Chen, Li, Jie Sun, Daniel S. Hippe, et al.. (2019). Quantitative assessment of the intracranial vasculature in an older adult population using iCafe. Neurobiology of Aging. 79. 59–65. 19 indexed citations
12.
Liu, Haining, Gregory J. Wilson, Niranjan Balu, et al.. (2017). 3D true-phase polarity recovery with independent phase estimation using three-tier stacks based region growing (3D-TRIPS). Magnetic Resonance Materials in Physics Biology and Medicine. 31(1). 87–99. 3 indexed citations
13.
Chen, Li, Yi Guo, Yuanyuan Wang, et al.. (2017). A vascular image registration method based on network structure and circuit simulation. BMC Bioinformatics. 18(1). 229–229. 3 indexed citations
14.
Sun, Jie, Xue-Qiao Zhao, Niranjan Balu, et al.. (2017). Carotid Plaque Lipid Content and Fibrous Cap Status Predict Systemic CV Outcomes. JACC. Cardiovascular imaging. 10(3). 241–249. 79 indexed citations
15.
Zhao, Xue, Thomas S. Hatsukami, Daniel S. Hippe, et al.. (2014). Clinical Factors Associated With High-Risk Carotid Plaque Features as Assessed by Magnetic Resonance Imaging in Patients With Established Vascular Disease (from the AIM-HIGH Study). The American Journal of Cardiology. 114(9). 1412–1419. 33 indexed citations
16.
Yuan, Chun, Jinnan Wang, & Niranjan Balu. (2012). High-Field Atherosclerotic Plaque Magnetic Resonance Imaging. Neuroimaging Clinics of North America. 22(2). 271–284. 7 indexed citations
17.
Zhao, Haiyan, Daniel S. Hippe, Xihai Zhao, et al.. (2012). Simultaneous noncontrast angiography and intraPlaque hemorrhage (SNAP) imaging for carotid atherosclerotic disease evaluation. Magnetic Resonance in Medicine. 69(2). 337–345. 1 indexed citations
18.
Chiu, Bernard, Jie Sun, Xihai Zhao, et al.. (2011). Fast plaque burden assessment of the femoral artery using 3D black-blood MRI and automated segmentation. Medical Physics. 38(10). 5370–5384. 20 indexed citations
19.
Wang, Jinnan, Niranjan Balu, Gádor Cantón, & Chun Yuan. (2010). Imaging biomarkers of cardiovascular disease. Journal of Magnetic Resonance Imaging. 32(3). 502–515. 15 indexed citations
20.
Wang, Jinnan, Vasily L. Yarnykh, Thomas S. Hatsukami, et al.. (2007). Improved suppression of plaque‐mimicking artifacts in black‐blood carotid atherosclerosis imaging using a multislice motion‐sensitized driven‐equilibrium (MSDE) turbo spin‐echo (TSE) sequence. Magnetic Resonance in Medicine. 58(5). 973–981. 174 indexed citations

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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