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

Ziyin Chen

Guangdong Pharmaceutical University

ORCID: 0000-0002-5760-4177
Biochemistry, Genetics and Molecular Biology

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
0.586Author 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.

Top 40%7 citations

Nathan R. Zemke, Ziyin Chen, Ivan Jurić, Rong Hu, Ramya Raviram +16 more

Papers

Driven by 5 papers — median percentile 41. Top paper: SnapHiC: a computational pipeline to identify chromatin loops from single-cell Hi-C data.

97 citations

Armen Abnousi, Yanxiao Zhang, Guoqiang Li, Lindsay Lee, Ziyin Chen +9 more

Top 40%7 citations

Nathan R. Zemke, Ziyin Chen, Ivan Jurić, Rong Hu, Ramya Raviram +16 more

Top 78%1 citations

Nathan R. Zemke, Ziyin Chen, Ivan Jurić, Rong Hu, Ramya Raviram +15 more

10 citations

Miao Yu, Xiaoqi Li, Chenxu Zhu, Yanxiao Zhang, Hongyu Yu +6 more

0 citations

Ziyin Chen, Shreya Mishra, Hongyu Yu, Xiaoqi Li, Miao Yu +6 more