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

Xiao Zhou

Central South University

ORCID: 0000-0002-8933-444X

Also affiliated with SKiN Health, Hunan Cancer Hospital, Material Physics Center, Xi'an Jiaotong University, Air Force Medical University

Biochemistry, Genetics and Molecular BiologyMedicineComputer ScienceEngineering

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 2%percentile
2.4Author DataRank

Indexed papers

2in 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 2 indexed papers 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-cell genomics and regulatory networks for 388 human brains

Science(2024)10.1126/science.adi5199
Top 12%
1.7DataRank
Top 12%155 citations

Jason Liu, Declan Clarke, Matthew Jensen, Jonathan Warrell, Chirag Gupta +91 more

Papers

Driven by 10 papers — median percentile 80. Top paper: “Single-cell genomics and regulatory networks for 388 human brains”.

Single-cell genomics and regulatory networks for 388 human brains

Science(2024)10.1126/science.adi5199
Top 12%
1.7DataRank
Top 12%155 citations

Jason Liu, Declan Clarke, Matthew Jensen, Jonathan Warrell, Chirag Gupta +91 more

Deep learning for risk-based stratification of cognitively impaired individuals

iScience(2023)10.1016/j.isci.2023.107522
Top 27%
0.733DataRank
Top 27%13 citations

Xiao Zhou, Akshara R. Balachandra, Michalina F. Jadick, Shangran Qiu, Diya A. Nijhawan +11 more

Network-based drug repurposing for psychiatric disorders using single-cell genomics

Cell Genomics(2025)10.1016/j.xgen.2025.101003
N/A
0.288DataRank · unranked
5 citations

Noah Cohen Kalafut, Declan Clarke, Jerome J. Choi, Kalpana Hanthanan Arachchilage, Saniya Khullar +6 more

Enhancing MR imaging driven Alzheimer’s disease classification performance using generative adversarial learning

medRxiv(2020)10.1101/2020.07.22.20159814
N/A
0.104DataRank · unranked
1 citations

Shangran Qiu, Prajakta Joshi, Chonghua Xue, Ronald Killiany, Asim Mian +5 more

Machine Learning Models Based on Histological Images from Healthy Donors Identify ImageQTLs and Predict Chronological Age

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.09.04.674328
N/A
0.104DataRank · unranked
1 citations

William Zhu, Christopher J. F. Cameron, Pengyu Ni, Xiao Zhou, Tselmeg Ulammandakh +2 more

Adversarial Learning for MRI Reconstruction and Classification of Cognitively Impaired Individuals

IEEE Access(2024)10.1109/access.2024.3408840
N/A
0DataRank · unranked
7 citations

Akshara R. Balachandra, Michael F. Romano, Sang Chin, Rhoda Au, Vijaya B. Kolachalama +1 more

Enhancing magnetic resonance imaging-driven Alzheimer’s disease classification performance using generative adversarial learning

Alzheimer s Research & Therapy(2021)10.1186/s13195-021-00797-5
N/A
0DataRank · unranked
83 citations

Shangran Qiu, Prajakta Joshi, Chonghua Xue, Ronald Killiany, Asim Mian +4 more

Development and validation of an interpretable deep learning framework for Alzheimer’s disease classification

Brain(2020)10.1093/brain/awaa137
N/A
0DataRank · unranked
482 citations

Prajakta Joshi, Matthew I. Miller, Chonghua Xue, Xiao Zhou, Cody Karjadi +16 more

Network-based drug repurposing for psychiatric disorders using single-cell genomics

medRxiv(2024)10.1101/2024.12.01.24318008
N/A
0DataRank · unranked
2 citations

Noah Cohen Kalafut, Declan Clarke, Jerome Choi, Kalpana Hanthanan Arachchilage, Saniya Khullar +5 more

Machine-learning models based on histological images from healthy donors identify imageQTLs and predict chronological age

Proceedings of the National Academy of Sciences(2025)10.1073/pnas.2423469122
N/A
0DataRank · unranked
1 citations

William Zhu, Christopher J. F. Cameron, Pengyu Ni, Xiao Zhou, Tselmeg Ulammandakh +2 more