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

Ziheng Duan

University of California, Irvine

ORCID: 0000-0003-4696-0042
Biochemistry, Genetics and Molecular BiologyComputer Science

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 1%percentile
4.8Author DataRank

Indexed papers

5in 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 5 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 16 papers — median percentile 74. 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

Single-cell multi-cohort dissection of the schizophrenia transcriptome

Science(2024)10.1126/science.adg5136
N/A
1.3DataRank · unranked
125 citations

Shahin Mohammadi, José Dávila-Velderrain, Sivan Subburaju, Daniel Reed Tso, Makayla Hourihan +196 more

A data-driven single-cell and spatial transcriptomic map of the human prefrontal cortex

Science(2024)10.1126/science.adh1938
Top 18%
1.2DataRank
Top 18%69 citations

Abby Spangler, Nicholas J. Eagles, Kelsey D. Montgomery, Sang Ho Kwon, Boyi Guo +90 more

Massively parallel characterization of regulatory elements in the developing human cortex

Science(2024)10.1126/science.adh0559
N/A
1.2DataRank · unranked
61 citations

Sean Whalen, Marilyn Steyert, Ryan Ziffra, Pawel F. Przytycki, Fumitaka Inoue +197 more

Cross-ancestry atlas of gene, isoform, and splicing regulation in the developing human brain

Science(2024)10.1126/science.adh0829
Top 26%
0.765DataRank
Top 26%50 citations

Michael Margolis, Rujia Dai, Pan Zhang, Pawel F. Przytycki, Daniel Vo +95 more

Transcriptomic sex differences in postmortem brain samples from patients with psychiatric disorders

Science Translational Medicine(2024)10.1126/scitranslmed.adh9974
Top 27%
0.733DataRank
Top 27%22 citations

Cuihua Xia, Yi Jiang, Yu Chen, Jiaqi Zhou, Rujia Dai +95 more

Single-cell genomics and regulatory networks for 388 human brains

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.03.18.585576
Top 44%
0.419DataRank
Top 44%9 citations

Jason J. Liu, Declan Clarke, Matthew L. Jensen, Jonathan Warrell, Chirag Gupta +75 more

iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease

PLoS Computational Biology(2023)10.1371/journal.pcbi.1011444
N/A
0DataRank · unranked
11 citations

Yi Dai, Ahyeon Hwang, Che-Yu Lee, Kaichi Xie, Chutong Xiao +4 more

Venus: An efficient virus infection detection and fusion site discovery method using single-cell and bulk RNA-seq data

PLoS Computational Biology(2022)10.1371/journal.pcbi.1010636
N/A
0DataRank · unranked
7 citations

Yuhang Chen, Ziheng Duan, Min Xu, Matthew J. Girgenti, Ke Xu +3 more

Impeller: a path-based heterogeneous graph learning method for spatial transcriptomic data imputation

Bioinformatics(2024)10.1093/bioinformatics/btae339
N/A
0DataRank · unranked
9 citations

Dylan Riffle, Ren Li, Junhao Liu, Martin Renqiang Min, Jing Zhang +1 more

Characterizing dysregulations via cell-cell communications in Alzheimer’s brains using single-cell transcriptomes

BMC Neuroscience(2024)10.1186/s12868-024-00867-y
N/A
0DataRank · unranked
11 citations

Dylan Riffle, Yifeng Xiong, Nadia Momtaz, Yutong Lei, Joseph M Pariser +5 more

scENCORE: leveraging single-cell epigenetic data to predict chromatin conformation using graph embedding

Briefings in Bioinformatics(2024)10.1093/bib/bbae096
N/A
0DataRank · unranked
6 citations

Siwei Xu, Shushrruth Sai Srinivasan, Ahyeon Hwang, Che-Yu Lee, Feng Yue +5 more

iMIRACLE: An Iterative Multi-View Graph Neural Network to Model Intercellular Gene Regulation From Spatial Transcriptomic Data

PubMed(2024)10.1145/3627673.3679574
N/A
0DataRank · unranked
7 citations

Siwei Xu, Che-Yu Lee, Dylan Riffle, Jing Zhang, Ziheng Duan

MUSE: A Multi-slice Joint Analysis Method for Spatial Transcriptomics Experiments

PubMed(2025)10.1145/3746252.3761240
N/A
0DataRank · unranked
1 citations

Xi Li, Zhiqing Xiao, Rex Ying, Jing Zhang, Ziheng Duan

Turtling: a time-aware neural topic model on NIH grant data

Bioinformatics Advances(2023)10.1093/bioadv/vbad096
N/A
0DataRank · unranked
2 citations

Ziheng Duan, Che-Yu Lee, Dylan Riffle, Martin Renqiang Min, Jing Zhang +1 more

DISCO: A Diffusion Model For Spatial Transcriptomics Data Completion

PubMed(2025)10.1109/icip55913.2025.11084277
N/A
0DataRank · unranked
0 citations

Xibao Li, Zhuoyang Zhang, James Song, Jing Zhang, Ziheng Duan