🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Surendra Maharjan

Chapman University

ORCID: 0000-0002-0572-1611

Also affiliated with Cornell University, MIND Research Institute

Medicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 5%percentile
0.430Author DataRank

Indexed papers

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

High-resolution diffusion magnetic resonance imaging and spatial-transcriptomic in developing mouse brain

NeuroImage(2024)10.1016/j.neuroimage.2024.120734
Top 43%
0.430DataRank
Top 43%12 citations

Surendra Maharjan, Jie Chen, Yi Zhao, Yi Qi, Leonard White +3 more

Papers

Driven by 9 papers — median percentile 57. Top paper: “High-resolution diffusion magnetic resonance imaging and spatial-transcriptomic in developing mouse brain”.

High-resolution diffusion magnetic resonance imaging and spatial-transcriptomic in developing mouse brain

NeuroImage(2024)10.1016/j.neuroimage.2024.120734
Top 43%
0.430DataRank
Top 43%12 citations

Surendra Maharjan, Jie Chen, Yi Zhao, Yi Qi, Leonard White +3 more

Age-dependent microstructure alterations in 5xFAD mice by high-resolution diffusion tensor imaging

Frontiers in Neuroscience(2022)10.3389/fnins.2022.964654
N/A
0DataRank · unranked
9 citations

Andy P. Tsai, Peter Bor‐Chian Lin, Cynthia M. Ingraham, Megan E. Jewett, Gary E. Landreth +3 more

Integrating multimodality magnetic resonance imaging to the Allen Mouse Brain Common Coordinate Framework

NMR in Biomedicine(2022)10.1002/nbm.4887
N/A
0DataRank · unranked
7 citations

Surendra Maharjan, Andy P. Tsai, Peter Bor‐Chian Lin, Yi Qi, Abigail Wallace +5 more

Use of multimodality imaging, histology, and treatment feasibility to characterize a transgenic Rag2-null rat model of glioblastoma

Frontiers in Oncology(2022)10.3389/fonc.2022.939260
N/A
0DataRank · unranked
6 citations

Megan R. Masi, Bryce M. Selman, George E. Sandusky, Hamideh Zarrinmayeh, Sudip Das +10 more

Magic angle effect on diffusion tensor imaging in ligament and brain

Magnetic Resonance Imaging(2022)10.1016/j.mri.2022.06.008
N/A
0DataRank · unranked
5 citations

Qiuting Wen, Surendra Maharjan, Anthony J. Mirando, Yi Qi, Matthew J. Hilton +2 more

Diffusion tractography of kidney by high angular resolution diffusion imaging

Magnetic Resonance Letters(2024)10.1016/j.mrl.2024.200117
N/A
0DataRank · unranked
5 citations

Jie Chen, Adrienne Gaughan, Neal X. Chen, Nian Wang, Surendra Maharjan

3D Volumetric Super-Resolution in Radiology Using 3D RRDB-GAN

arXiv (Cornell University)(2024)10.48550/arxiv.2402.04171
N/A
0DataRank · unranked
0 citations

Nian Wang, Surendra Maharjan, Xuhong Zhang, Juhyung Ha

Resolution and b value dependent structural connectome in ex vivo mouse brain

NeuroImage(2022)10.1016/j.neuroimage.2022.119199
N/A
0DataRank · unranked
25 citations

Surendra Maharjan, Yi Qi, Qi Zhao, Gary P. Cofer, James C. Cook +3 more

Worse visibility of deep medullary veins is associated with larger lateral ventricles but not with cortical thickness

Journal of Stroke and Cerebrovascular Diseases(2025)10.1016/j.jstrokecerebrovasdis.2025.108510
N/A
0DataRank · unranked
0 citations

Henry Rusinek, Yuan Ma, Xiuyuan Hugh Wang, Surendra Maharjan, Liangdong Zhou +12 more