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

Huixiao Hong

National Center for Toxicological Research

ORCID: 0000-0001-8087-3968

Also affiliated with United States Food and Drug Administration, Food and Drug Administration

Computer ScienceBiochemistry, Genetics and Molecular BiologyEnvironmental Science

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 1%percentile
5.1Author 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.

Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing

Nature Biotechnology(2021)10.1038/s41587-021-00993-6
Top 8%
2.7DataRank
Top 8%153 citations

Bin Zhu, Yongmei Zhao, Wanqiu Chen, Zhaowei Yang, Liz Kerrigan +88 more

Papers

Driven by 18 papers — median percentile 88. Top paper: “Toward best practice in cancer mutation detection with whole-genome and whole-exome sequencing”.

Toward best practice in cancer mutation detection with whole-genome and whole-exome sequencing

Nature Biotechnology(2021)10.1038/s41587-021-00994-5
N/A
3.8DataRank · unranked
215 citations

Luyao Ren, Zhong Chen, Li Tai Fang, Yongmei Zhao, Justin Lack +85 more

Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing

Nature Biotechnology(2021)10.1038/s41587-021-00993-6
Top 8%
2.7DataRank
Top 8%153 citations

Bin Zhu, Yongmei Zhao, Wanqiu Chen, Zhaowei Yang, Liz Kerrigan +88 more

Whole genome and exome sequencing reference datasets from a multi-center and cross-platform benchmark study

Scientific Data(2021)10.1038/s41597-021-01077-5
Top 12%
1.7DataRank
Top 12%60 citations

Li Tai Fang, Tsai-Wei Shen, Sulbha Choudhari, Keyur Talsania, Xiongfong Chen +33 more

An autoencoder-based deep learning method for genotype imputation

Frontiers in Artificial Intelligence(2022)10.3389/frai.2022.1028978
N/A
0.827DataRank · unranked
21 citations

Jonathan Greenbaum, Joseph Luttrell, Weihua Zhou, Chong Wu, Zhe Luo +11 more

Quartet RNA reference materials improve the quality of transcriptomic data through ratio-based profiling

Nature Biotechnology(2023)10.1038/s41587-023-01867-9
Top 28%
0.709DataRank
Top 28%41 citations

Wanwan Hou, Yaqing Liu, Haiyan Wang, Lianhua Dong, Yuanbang Mai +44 more

Predictive Models to Identify Small Molecule Activators and Inhibitors of Opioid Receptors

Journal of Chemical Information and Modeling(2021)10.1021/acs.jcim.1c00439
N/A
0DataRank · unranked
27 citations

Jinghua Zhao, Menghang Xia, Huixiao Hong, Anton Simeonov, Iosif I. Vaisman +2 more

Hidden biases in germline structural variant detection

Genome biology(2021)10.1186/s13059-021-02558-x
N/A
0DataRank · unranked
42 citations

Sayed Mohammad Ebrahim Sahraeian, Samantha Zarate, Andrew Carroll, Huixiao Hong, Bohu Pan +6 more

Assessing reproducibility of inherited variants detected with short-read whole genome sequencing

Genome biology(2022)10.1186/s13059-021-02569-8
N/A
0DataRank · unranked
56 citations

Luyao Ren, Vitor Onuchic, Meijian Guan, Rebecca Kusko, Steve Bruinsma +50 more

Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample

Genome biology(2022)10.1186/s13059-021-02592-9
N/A
0DataRank · unranked
33 citations

Li Tai Fang, Konstantinos Karagiannis, Malcolm Moos, Sean Smith, Luis V. Santana‐Quintero +6 more

The SEQC2 epigenomics quality control (EpiQC) study

Genome biology(2021)10.1186/s13059-021-02529-2
N/A
0DataRank · unranked
60 citations

Jessica Nordlund, Claudia Lalancette, Ting Gong, Michelle Lacey, Samantha Lent +52 more

Integrative approaches for studying the role of noncoding RNAs in influencing drug efficacy and toxicity

Expert Opinion on Drug Metabolism & Toxicology(2022)10.1080/17425255.2022.2054802
N/A
0DataRank · unranked
5 citations

Minjun Chen, Huixiao Hong, Weida Tong, Baitang Ning, Dongying Li

Deep Learning Methods for Omics Data Imputation

Biology(2023)10.3390/biology12101313
N/A
0DataRank · unranked
46 citations

Meng Song, Hui Shen, Huixiao Hong, Ping Gong, Hong‐Wen Deng +2 more

Machine Learning and Deep Learning in Computational Toxicology

Computational methods in engineering & the sciences(2023)10.1007/978-3-031-20730-3
N/A
0DataRank · unranked
18 citations

Huixiao Hong

Three-Dimensional Structural Insights Have Revealed the Distinct Binding Interactions of Agonists, Partial Agonists, and Antagonists with the µ Opioid Receptor

International Journal of Molecular Sciences(2023)10.3390/ijms24087042
N/A
0DataRank · unranked
13 citations

Jie Liu, Fan Dong, Nancy Chang, Ruili Huang, Menghang Xia +3 more

Fingerprinting Interactions between Proteins and Ligands for Facilitating Machine Learning in Drug Discovery

Biomolecules(2024)10.3390/biom14010072
N/A
0DataRank · unranked
33 citations

Ruili Huang, Menghang Xia, Tucker A. Patterson, Huixiao Hong, Zoe Li

Unlocking the potential of AI: Machine learning and deep learning models for predicting carcinogenicity of chemicals

Journal of Environmental Science and Health Part C(2024)10.1080/26896583.2024.2396731
N/A
0DataRank · unranked
12 citations

Jie Liu, Fan Dong, Huixiao Hong, Wenjing Guo

Cross-oncopanel study reveals high sensitivity and accuracy with overall analytical performance depending on genomic regions

Genome biology(2021)10.1186/s13059-021-02315-0
N/A
0DataRank · unranked
40 citations

Dan Li, Rebecca Kusko, Natalia Novoradovskaya, Yifan Zhang, Shangzi Wang +95 more

Decoding the κ Opioid Receptor (KOR): Advancements in Structural Understanding and Implications for Opioid Analgesic Development

Molecules(2024)10.3390/molecules29112635
N/A
0DataRank · unranked
3 citations

Ruili Huang, Menghang Xia, Nancy Chang, Wenjing Guo, Jie Liu +7 more