Sudipto Dolui

1.3k total citations
47 papers, 731 citations indexed

About

Sudipto Dolui is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Sudipto Dolui has authored 47 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Cognitive Neuroscience and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Sudipto Dolui's work include Advanced MRI Techniques and Applications (29 papers), Advanced Neuroimaging Techniques and Applications (21 papers) and Functional Brain Connectivity Studies (14 papers). Sudipto Dolui is often cited by papers focused on Advanced MRI Techniques and Applications (29 papers), Advanced Neuroimaging Techniques and Applications (21 papers) and Functional Brain Connectivity Studies (14 papers). Sudipto Dolui collaborates with scholars based in United States, Canada and United Kingdom. Sudipto Dolui's co-authors include John A. Detre, Oleg Michailovich, Yogesh Rathi, David A. Wolk, Ilya M. Nasrallah, R. Nick Bryan, Ze Wang, Lenore J. Launer, Zhengjun Li and David R. Jacobs and has published in prestigious journals such as SHILAP Revista de lepidopterología, Hypertension and Magnetic Resonance in Medicine.

In The Last Decade

Sudipto Dolui

42 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sudipto Dolui United States 16 452 163 117 101 83 47 731
Jesper Frandsen Denmark 13 324 0.7× 139 0.9× 158 1.4× 80 0.8× 83 1.0× 26 661
Mark C. DeLano United States 16 528 1.2× 178 1.1× 99 0.8× 85 0.8× 186 2.2× 30 1.2k
Chang‐Ki Kang South Korea 17 425 0.9× 159 1.0× 157 1.3× 286 2.8× 48 0.6× 79 905
Yamei Cheng United States 7 324 0.7× 207 1.3× 140 1.2× 130 1.3× 55 0.7× 11 586
Song’an Shang China 15 234 0.5× 287 1.8× 136 1.2× 57 0.6× 61 0.7× 41 564
Rikke Beese Dalby Denmark 13 221 0.5× 158 1.0× 109 0.9× 85 0.8× 109 1.3× 25 573
Bhaswati Roy United States 17 301 0.7× 150 0.9× 70 0.6× 99 1.0× 81 1.0× 55 867
Maurizio Bergamino United States 17 450 1.0× 157 1.0× 190 1.6× 66 0.7× 83 1.0× 52 791
Toshiaki Akashi Japan 18 497 1.1× 87 0.5× 316 2.7× 88 0.9× 58 0.7× 63 989

Countries citing papers authored by Sudipto Dolui

Since Specialization
Citations

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

Fields of papers citing papers by Sudipto Dolui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudipto Dolui

This figure shows the co-authorship network connecting the top 25 collaborators of Sudipto Dolui. A scholar is included among the top collaborators of Sudipto Dolui 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 Sudipto Dolui. Sudipto Dolui 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.
Erus, Guray, Sudipto Dolui, Farzaneh A. Sorond, et al.. (2025). Spatial and signal features of white matter integrity and associations with clinical factors: A CARDIA brain MRI study. NeuroImage Clinical. 46. 103768–103768.
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Dolui, Sudipto, Christopher D. Brown, Pulkit Khandelwal, et al.. (2024). Regional cerebral blood flow reflects both neurodegeneration and microvascular integrity across the Alzheimer's continuum. Alzheimer s & Dementia. 21(1). e14382–e14382.
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Mechanic‐Hamilton, Dawn, Sudipto Dolui, Sandhitsu R. Das, et al.. (2023). Impact of white matter hyperintensities on structural connectivity and cognition in cognitively intact ADNI participants. Neurobiology of Aging. 135. 79–90. 2 indexed citations
6.
Cook, Philip A., Sudipto Dolui, Christopher Brown, et al.. (2023). Young versus older subject diffusion magnetic resonance imaging data for virtual white matter lesion tractography. Human Brain Mapping. 44(10). 3943–3953. 6 indexed citations
7.
Mutsaerts, Henk, Udunna Anazodo, Charlotte Buchanan, et al.. (2023). ISMRM Open Science Initiative for Perfusion Imaging (OSIPI): ASL pipeline inventory. Magnetic Resonance in Medicine. 91(5). 1787–1802. 3 indexed citations
8.
Suzuki, Yuriko, Patricia Clement, Weiying Dai, et al.. (2023). ASL lexicon and reporting recommendations: A consensus report from the ISMRM Open Science Initiative for Perfusion Imaging (OSIPI). Magnetic Resonance in Medicine. 91(5). 1743–1760. 7 indexed citations
9.
Rashid, Tanweer, Jon B. Toledo, Ilya M. Nasrallah, et al.. (2023). Association of Intensive vs Standard Blood Pressure Control With Regional Changes in Cerebral Small Vessel Disease Biomarkers. JAMA Network Open. 6(3). e231055–e231055. 17 indexed citations
10.
Gaggi, Naomi, Jeffrey B. Ware, Sudipto Dolui, et al.. (2023). Temporal dynamics of cerebral blood flow during the first year after moderate-severe traumatic brain injury: A longitudinal perfusion MRI study. NeuroImage Clinical. 37. 103344–103344. 14 indexed citations
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Clement, Patricia, Jan Petr, Sudipto Dolui, et al.. (2022). A Beginner's Guide to Arterial Spin Labeling (ASL) Image Processing. SHILAP Revista de lepidopterología. 2. 929533–929533. 17 indexed citations
13.
Cook, Peter F., Sudipto Dolui, Blaise B. Frederick, et al.. (2021). An MRI protocol for anatomical and functional evaluation of the California sea lion brain. Journal of Neuroscience Methods. 353. 109097–109097. 8 indexed citations
14.
Ware, Jeffrey B., Sudipto Dolui, Jeffrey Duda, et al.. (2020). Relationship of Cerebral Blood Flow to Cognitive Function and Recovery in Early Chronic Traumatic Brain Injury. Journal of Neurotrauma. 37(20). 2180–2187. 29 indexed citations
15.
Nasrallah, Ilya M., Güray Erus, Harsha Battapady, et al.. (2019). White Matter Lesion Penumbra Shows Abnormalities on Structural and Physiologic MRIs in the Coronary Artery Risk Development in Young Adults Cohort. American Journal of Neuroradiology. 40(8). 1291–1298. 12 indexed citations
16.
Chand, Ganesh B., Mohamad Habes, Sudipto Dolui, et al.. (2019). Estimating regional cerebral blood flow using resting-state functional MRI via machine learning. Journal of Neuroscience Methods. 331. 108528–108528. 7 indexed citations
17.
Dolui, Sudipto, M. Dylan Tisdall, Marta Vidorreta, et al.. (2019). Characterizing a perfusion-based periventricular small vessel region of interest. NeuroImage Clinical. 23. 101897–101897. 28 indexed citations
18.
Li, Yiran, et al.. (2018). Priors-guided slice-wise adaptive outlier cleaning for arterial spin labeling perfusion MRI. Journal of Neuroscience Methods. 307. 248–253. 21 indexed citations
19.
Michailovich, Oleg, Yogesh Rathi, & Sudipto Dolui. (2011). Spatially Regularized Compressed Sensing for High Angular Resolution Diffusion Imaging. IEEE Transactions on Medical Imaging. 30(5). 1100–1115. 105 indexed citations
20.
Dolui, Sudipto & Oleg Michailovich. (2011). Hybrid blind deconvolution of images using variable splitting and proximal point methods. 20. 2709–2712. 1 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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