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

Shuo Wang

ORCID: 0000-0003-4919-5390
MedicineNeuroscience

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 7%percentile
0.104Author 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.

Single-neuron datasets for linguistic and semantic processing in the human amygdala and hippocampus

Scientific Data(2025)10.1038/s41597-025-05839-3
Top 78%
0.104DataRank
Top 78%1 citations

Runnan Cao, Jon T. Willie, Peter Brunner, Shuo Wang, Yue Wang

Papers

Driven by 7 papers — median percentile 22. Top paper: “QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results”.

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results

The Journal of Machine Learning for Biomedical Imaging(2022)10.59275/j.melba.2022-354b
N/A
0.601DataRank · unranked
54 citations

Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen +87 more

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results

arXiv (Cornell University)(2021)10.48550/arxiv.2112.10074
N/A
0.312DataRank · unranked
7 citations

Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen +87 more

Relation of Myocardial Perfusion Reserve and Left Ventricular Ejection Fraction in Ischemic and Nonischemic Cardiomyopathy

The American Journal of Cardiology(2022)10.1016/j.amjcard.2022.02.022
N/A
0.269DataRank · unranked
5 citations

Hena Patel, Tamari Miller, Keith Ameyaw, Patrick D. Miller, Akhil Narang +7 more

Single-neuron datasets for linguistic and semantic processing in the human amygdala and hippocampus

Scientific Data(2025)10.1038/s41597-025-05839-3
Top 78%
0.104DataRank
Top 78%1 citations

Runnan Cao, Jon T. Willie, Peter Brunner, Shuo Wang, Yue Wang

Neural computations of visual, semantic, and memorability features in the human brain

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.09.06.674646
N/A
0.104DataRank · unranked
1 citations

Peter Brunner, Jon T. Willie, Runnan Cao, Shuo Wang, Yue Wang

Impact of wideband cardiac magnetic resonance on diagnosis, decision-making and outcomes in patients with implantable cardioverter defibrillators

European Heart Journal - Cardiovascular Imaging(2022)10.1093/ehjci/jeac227
N/A
0DataRank · unranked
9 citations

Shuo Wang, Swati Rao, Amita Singh, Luis Landeras, Stephanie A. Besser +10 more

Fatty acid composition MRI of epicardial adipose tissue: Methods and detection of proinflammatory biomarkers in ST‐segment elevation myocardial infarction patients

Magnetic Resonance in Medicine(2024)10.1002/mrm.30285
N/A
0DataRank · unranked
8 citations

Shuo Wang, Amit R. Patel, Austin C. Hogwood, Antonio Abbate, Frederick H. Epstein +1 more