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

Yu Li

BGI Group (China)

ORCID: 0000-0002-3664-6722

Also affiliated with Broad Institute, Chinese University of Hong Kong, Nanjing University of Science and Technology, HKUST Shenzhen Research Institute, Massachusetts Institute of Technology, Southeast University, University of Hong Kong

Computer ScienceBiochemistry, 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 5%percentile
0.393Author 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 high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci

Nature Computational Science(2023)10.1038/s43588-023-00453-y
Top 46%
0.393DataRank
Top 46%9 citations

Yu Li, Xue Zhong, Kanix Wang, Milton Pividori, Rabab Alomairy +15 more

Papers

Driven by 6 papers — median percentile 54. Top paper: “Deep generative design of RNA aptamers using structural predictions”.

Deep generative design of RNA aptamers using structural predictions

Nature Computational Science(2024)10.1038/s43588-024-00720-6
N/A
1.8DataRank · unranked
73 citations

Dongchen He, Aarti Krishnan, Liang Hong, Alexander Wang, Jiuming Wang +14 more

The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci

Nature Computational Science(2023)10.1038/s43588-023-00453-y
Top 46%
0.393DataRank
Top 46%9 citations

Yu Li, Xue Zhong, Kanix Wang, Milton Pividori, Rabab Alomairy +15 more

NERO: A Biomedical Named-entity (Recognition) Ontology with a Large, Annotated Corpus Reveals Meaningful Associations Through Text Embedding

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.11.05.368969
N/A
0.165DataRank · unranked
2 citations

Robert Stevens, Halima Alachram, Yu Li, Larisa Soldatova, Ross D. King +17 more

Estimation of Blood Alcohol Concentration From Smartphone Gait Data Using Neural Networks

IEEE Access(2021)10.1109/access.2021.3054515
N/A
0DataRank · unranked
20 citations

Ganesh Balakrishnan, Jiaming Nie, Yu Li, Emmanuel Agu, Kristin Grimone +4 more

NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding

npj Systems Biology and Applications(2021)10.1038/s41540-021-00200-x
N/A
0DataRank · unranked
15 citations

Robert Stevens, Halima Alachram, Yu Li, Larisa Soldatova, Ross D. King +20 more

Accurate RNA 3D structure prediction using a language model-based deep learning approach

Nature Methods(2024)10.1038/s41592-024-02487-0
N/A
0DataRank · unranked
198 citations

Zhihang Hu, Siqi Sun, Di Liu, Felix Wong, Jiuming Wang +12 more