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

Shilu Zhang

Shaoguan University

ORCID: 0000-0003-4642-8259

Also affiliated with Changchun University of Technology

Biochemistry, Genetics and Molecular BiologyMaterials ScienceEngineeringChemistry

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 4%percentile
0.648Author DataRank

Indexed papers

3in 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 3 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.

ABC-GWAS: Functional Annotation of Estrogen Receptor-Positive Breast Cancer Genetic Variants

Frontiers in Genetics(2020)10.3389/fgene.2020.00730
Top 50%
0.356DataRank
Top 50%6 citations

Yi Zhang, Shilu Zhang, Sushmita Roy, Pablo Pérez‐Piñera, Jun S. Song +1 more

Papers

Driven by 7 papers — median percentile 47. Top paper: “Data integration for inferring context-specific gene regulatory networks”.

Data integration for inferring context-specific gene regulatory networks

Current Opinion in Systems Biology(2020)10.1016/j.coisb.2020.09.005
N/A
0.449DataRank · unranked
19 citations

Junha Shin, Shilu Zhang, Sushmita Roy, Brittany Baur

ABC-GWAS: Functional Annotation of Estrogen Receptor-Positive Breast Cancer Genetic Variants

Frontiers in Genetics(2020)10.3389/fgene.2020.00730
Top 50%
0.356DataRank
Top 50%6 citations

Yi Zhang, Shilu Zhang, Sushmita Roy, Pablo Pérez‐Piñera, Jun S. Song +1 more

Enabling Studies of Genome-Scale Regulatory Network Evolution in Large Phylogenies with MRTLE

Methods in molecular biology(2022)10.1007/978-1-0716-2257-5_24
Top 56%
0.292DataRank
Top 56%3 citations

Sara Knaack, Sushmita Roy, Shilu Zhang

Leveraging epigenomes and three-dimensional genome organization for interpreting regulatory variation

PLoS Computational Biology(2023)10.1371/journal.pcbi.1011286
N/A
0.253DataRank · unranked
4 citations

Junha Shin, Jacob Matthew Schreiber, Shilu Zhang, Yi Zhang, Mohith Manjunath +4 more

Leveraging epigenomes and three-dimensional genome organization for interpreting regulatory variation

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.08.29.458098
N/A
0.234DataRank · unranked
3 citations

Jacob Matthew Schreiber, Junha Shin, Shilu Zhang, Yi Zhang, Mohith Manjunath +4 more

Inference of cell type-specific gene regulatory networks on cell lineages from single cell omic datasets

10.21203/rs.3.rs-1892655/v1
N/A
0.104DataRank · unranked
1 citations

Saptarshi Pyne, Stefan Pietrzak, Alireza Siahpirani, Rupa Sridha, Sushmita Roy +1 more

Inference of cell type-specific gene regulatory networks on cell lineages from single cell omic datasets

Nature Communications(2023)10.1038/s41467-023-38637-9
N/A
0DataRank · unranked
115 citations

Saptarshi Pyne, Stefan Pietrzak, Spencer Halberg, Sunnie Grace McCalla, Alireza Fotuhi Siahpirani +3 more