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

Tzu‐Pin Lu

National Health Research Institutes

ORCID: 0000-0003-3697-0386

Also affiliated with National Taiwan University, National Taipei University of Nursing and Health Science, National Taipei University of Business, National Taipei University

MedicineBiochemistry, 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
0.376Author 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.

Transfer learning with false negative control improves polygenic risk prediction

PLoS Genetics(2023)10.1371/journal.pgen.1010597
Top 48%
0.376DataRank
Top 48%6 citations

Yifei Hu, Vaishnavi Venkat, Tzu‐Pin Lu, Jung‐Ying Tzeng, X. Jessie Jeng

Papers

Driven by 8 papers — median percentile 52. Top paper: “Gene-set integrative analysis of multi-omics data using tensor-based association test”.

Gene-set integrative analysis of multi-omics data using tensor-based association test

Bioinformatics(2021)10.1093/bioinformatics/btab125
N/A
0.542DataRank · unranked
36 citations

Meng Yang, Wenbin Lu, Yu‐Jyun Huang, Yueyang Huang, Hung Hung +4 more

Transfer learning with false negative control improves polygenic risk prediction

PLoS Genetics(2023)10.1371/journal.pgen.1010597
Top 48%
0.376DataRank
Top 48%6 citations

Yifei Hu, Vaishnavi Venkat, Tzu‐Pin Lu, Jung‐Ying Tzeng, X. Jessie Jeng

SEAGLE: A Scalable Exact Algorithm for Large-Scale Set-Based Gene-Environment Interaction Tests in Biobank Data

Frontiers in Genetics(2021)10.3389/fgene.2021.710055
N/A
0.316DataRank · unranked
5 citations

Ilse C. F. Ipsen, Tzu‐Hung Hsiao, Ching‐Heng Lin, Li‐San Wang, Wan‐Ping Lee +3 more

Association test using Copy Number Profile Curves (CONCUR) enhances power in rare copy number variant analysis

PLoS Computational Biology(2020)10.1371/journal.pcbi.1007797
N/A
0.312DataRank · unranked
7 citations

Wenbin Lu, Rachel Marceau West, Qi-You Yu, Chuhsing Kate Hsiao, Tzu-Hung Hsiao +7 more

Exploring Random Forest in Genetic Risk Score Construction

Genetic Epidemiology(2025)10.1002/gepi.70022
N/A
0.104DataRank · unranked
1 citations

Kaylyn Clark, X. Jessie Jeng, Tsung‐Chieh Yao, Hui‐Ju Tsai, Tzu‐Pin Lu +10 more

An Integrative Co-localization (INCO) Analysis for SNV and CNV Genomic Features With an Application to Taiwan Biobank Data

Frontiers in Genetics(2021)10.3389/fgene.2021.709555
N/A
0DataRank · unranked
3 citations

Tzu‐Pin Lu, Tzu-Hung Hsiao, Ching‐Heng Lin, Chi-Yun Wu, Jung‐Ying Tzeng +2 more

GSTM3 variant is a novel genetic modifier in Brugada syndrome, a disease with risk of sudden cardiac death

EBioMedicine(2020)10.1016/j.ebiom.2020.102843
N/A
0DataRank · unranked
23 citations

Anna Binda, Shyh‐Jye Lee, Juey‐Jen Hwang, Wen‐Jone Chen, Yen‐Bin Liu +13 more

Predicting drug response through tumor deconvolution by cancer cell lines

Patterns(2024)10.1016/j.patter.2024.100949
N/A
0DataRank · unranked
8 citations

Yu‐Chiao Chiu, Tzu‐Pin Lu, Tzu‐Hung Hsiao, Yidong Chen, Yu-Ching Hsu