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

Zhanlin Chen

Sun Yat-sen University

ORCID: 0000-0002-5835-3840

Also affiliated with Sun Yat-sen University Cancer Center

Biochemistry, Genetics and Molecular BiologyPhysics and Astronomy

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 3%percentile
1.4Author 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.

The EN-TEx resource of multi-tissue personal epigenomes & variant-impact models

Cell(2023)10.1016/j.cell.2023.02.018
Top 15%
1.4DataRank
Top 15%82 citations

Jiahao Gao, Beatrice Borsari, Yucheng T. Yang, Timur R. Galeev, Gamze Gürsoy +95 more

Papers

Driven by 10 papers — median percentile 85. Top paper: “DeepVelo : Single-cell transcriptomic deep velocity field learning with neural ordinary differential equations”.

DeepVelo : Single-cell transcriptomic deep velocity field learning with neural ordinary differential equations

Science Advances(2022)10.1126/sciadv.abq3745
N/A
2.4DataRank · unranked
88 citations

William C. King, Ahyeon Hwang, Mark Gerstein, Jing Zhang, Zhanlin Chen

The EN-TEx resource of multi-tissue personal epigenomes & variant-impact models

Cell(2023)10.1016/j.cell.2023.02.018
Top 15%
1.4DataRank
Top 15%82 citations

Jiahao Gao, Beatrice Borsari, Yucheng T. Yang, Timur R. Galeev, Gamze Gürsoy +95 more

DeepVelo: Single-cell Transcriptomic Deep Velocity Field Learning with Neural Ordinary Differential Equations

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.02.15.480564
N/A
0.502DataRank · unranked
6 citations

William C. King, Ahyeon Hwang, Mark Gerstein, Jing Zhang, Zhanlin Chen

DECODE: a De ep-learning framework for Co n de nsing enhancers and refining boundaries with large-scale functional assays

Bioinformatics(2021)10.1093/bioinformatics/btab283
N/A
0DataRank · unranked
12 citations

Jing Zhang, Jason Liu, Yi Dai, Donghoon Lee, Martin Renqiang Min +3 more

DECODE: A De ep-learning Framework for Co n de nsing Enhancers and Refining Boundaries with Large-scale Functional Assays

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.01.27.428477
N/A
0DataRank · unranked
0 citations

Jing Zhang, Jason Liu, Yi Dai, Donghoon Lee, Martin Renqiang Min +3 more

Forest Fire Clustering for single-cell sequencing combines iterative label propagation with parallelized Monte Carlo simulations

Nature Communications(2022)10.1038/s41467-022-31107-8
N/A
0DataRank · unranked
18 citations

Jeremy Goldwasser, Philip Tuckman, Jason Liu, Jing Zhang, Mark Gerstein +1 more

DiNeR: a Differential graphical model for analysis of co-regulation Network Rewiring

BMC Bioinformatics(2020)10.1186/s12859-020-03605-3
N/A
0DataRank · unranked
8 citations

Jason Liu, Donghoon Lee, Shaoke Lou, Zhanlin Chen, Gamze Gürsoy +2 more

Age-Dependent Contributions of Rare and Common Genetic Variation in Atrial Fibrillation

Circulation Genomic and Precision Medicine(2025)10.1161/circgen.124.004958
N/A
0DataRank · unranked
2 citations

Peter F. Aziz, Philip Greenland, Rod Passman, Allan Gordon, Gregory Webster +1 more

SCAN-ATAC-Sim: a scalable and efficient method for simulating single-cell ATAC-seq data from bulk-tissue experiments

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.05.29.123638
N/A
0DataRank · unranked
2 citations

Jing Zhang, Jason Liu, Zixuan Zhang, Jiangqi Zhu, Donghoon Lee +3 more

SCAN-ATAC-Sim: a scalable and efficient method for simulating single-cell ATAC-seq data from bulk-tissue experiments

Bioinformatics(2021)10.1093/bioinformatics/btaa1039
N/A
0DataRank · unranked
17 citations

Jing Zhang, Jason Liu, Zixuan Zhang, Jiangqi Zhu, Donghoon Lee +3 more