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

Lan‐Juan Zhao

Tulane University

ORCID: 0000-0001-6342-2495

Also affiliated with Central South University, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Third Xiangya Hospital

MedicineBiochemistry, Genetics and Molecular BiologyImmunology and Microbiology

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 2%percentile
3.9Author DataRank

Indexed papers

4in 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 4 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.

Multi-omics Data Integration for Identifying Osteoporosis Biomarkers and Their Biological Interaction and Causal Mechanisms

iScience(2020)10.1016/j.isci.2020.100847
Top 13%
1.6DataRank
Top 13%60 citations

Fangtang Yu, Kuan‐Jui Su, Qi Zhao, Lan Zhang, Chao Xu +8 more

Papers

Driven by 23 papers — median percentile 75. Top paper: “Multi-omics Data Integration for Identifying Osteoporosis Biomarkers and Their Biological Interaction and Causal Mechanisms”.

Multi-omics Data Integration for Identifying Osteoporosis Biomarkers and Their Biological Interaction and Causal Mechanisms

iScience(2020)10.1016/j.isci.2020.100847
Top 13%
1.6DataRank
Top 13%60 citations

Fangtang Yu, Kuan‐Jui Su, Qi Zhao, Lan Zhang, Chao Xu +8 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

Pathway-based metabolomics study of sarcopenia-related traits in two US cohorts

Aging(2022)10.18632/aging.203926
Top 25%
0.821DataRank
Top 25%16 citations

Hui Shen, Jiawang Liu, Chi‐Yang Chiu, Kuan‐Jui Su, Qing Tian +6 more

Integrative analysis of multi-omics data to detect the underlying molecular mechanisms for obesity in vivo in humans

Human Genomics(2022)10.1186/s40246-022-00388-x
Top 26%
0.784DataRank
Top 26%31 citations

Xiang‐He Meng, Chuan Qiu, Hui Shen, Qi Zhao, Lan‐Juan Zhao +4 more

A multiethnic whole genome sequencing study to identify novel loci for bone mineral density

Human Molecular Genetics(2021)10.1093/hmg/ddab305
Top 28%
0.729DataRank
Top 28%35 citations

Kuan‐Jui Su, Xiao Zhang, Yong Liu, Anqi Liu, Lan‐Juan Zhao +5 more

Quantification of aminobutyric acids and their clinical applications as biomarkers for osteoporosis

Communications Biology(2020)10.1038/s42003-020-0766-y
N/A
0.672DataRank · unranked
87 citations

Liangqiao Bian, Chenglin Mo, Hui Shen, Lan‐Juan Zhao, Kuan‐Jui Su +9 more

Detecting causal relationship between metabolic traits and osteoporosis using multivariable Mendelian randomization

Osteoporosis International(2020)10.1007/s00198-020-05640-5
N/A
0.601DataRank · unranked
54 citations

Jonathan Greenbaum, Hui Shen, Lan‐Juan Zhao, Weidong Zhang, Changqing Sun +2 more

Associations of physical activity with sarcopenia and sarcopenic obesity in middle-aged and older adults: the Louisiana osteoporosis study

BMC Public Health(2022)10.1186/s12889-022-13288-5
N/A
0.542DataRank · unranked
36 citations

Tao Xu, Zenong Yin, Sara Espinoza, Yiqiong Xie, Caleb Gentry +6 more

ST-V-Net: incorporating shape prior into convolutional neural networks for proximal femur segmentation

Complex & Intelligent Systems(2021)10.1007/s40747-021-00427-5
N/A
0.494DataRank · unranked
26 citations

Joyce H. Keyak, Jinshan Tang, Tadashi Kaneko, Sundeep Khosla, Shreyasee Amin +8 more

A transcriptome-wide association study to detect novel genes for volumetric bone mineral density

Bone(2021)10.1016/j.bone.2021.116106
N/A
0.439DataRank · unranked
5 citations

Yong Liu, Kuan‐Jui Su, Jonathan Greenbaum, Yuntong Bai, Qing Tian +4 more

Metagenomic study of the gut microbiota associated with cow milk consumption in Chinese peri-/postmenopausal women

Frontiers in Microbiology(2022)10.3389/fmicb.2022.957885
N/A
0.330DataRank · unranked
8 citations

Jia-Heng Yao, Xu Lin, Wan‐Qiang Lv, Lindong Jiang, Zhuo-Qi Wang +13 more

omicsMIC: a comprehensive benchmarking platform for robust comparison of imputation methods in mass spectrometry-based omics data

NAR Genomics and Bioinformatics(2024)10.1093/nargab/lqae071
N/A
0.292DataRank · unranked
6 citations

Jiadong Ji, Kuan‐Jui Su, Chuan Qiu, Qing Tian, Lan‐Juan Zhao +5 more

Repurposing Acebutolol for Osteoporosis Treatment: Insights From Multi‐Omics and Multi‐Modal Data Analysis

Clinical Pharmacology & Therapeutics(2025)10.1002/cpt.3738
N/A
0.208DataRank · unranked
3 citations

Hui Shen, Jonathan Greenbaum, Qiaorong Yi, Shuang Liang, Yue Zhang +17 more

Metabolomic profiles associated with physical activity in White and African American adult men

PLoS ONE(2023)10.1371/journal.pone.0289077
N/A
0DataRank · unranked
5 citations

Yuanyuan Li, Byeong Yeob Choi, Roman Fernadez, Kuan‐Jui Su, Kumar Sharma +11 more

Multi-View Variational Autoencoder for Missing Value Imputation in Untargeted Metabolomics

PubMed(2023)10.48550/arxiv.2310.07990
N/A
0DataRank · unranked
3 citations

Kuan‐Jui Su, Chong Wu, Xuewei Cao, Qiuying Sha, Li Wu +11 more

omicsMIC: a Comprehensive Benchmarking Platform for Robust Comparison of Imputation Methods in Mass Spectrometry-based Omics Data

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.09.12.557189
N/A
0DataRank · unranked
0 citations

Jiadong Ji, Kuan‐Jui Su, Chuan Qiu, Qing Tian, Lan‐Juan Zhao +5 more

Developing and comparing deep learning and machine learning algorithms for osteoporosis risk prediction

Frontiers in Artificial Intelligence(2024)10.3389/frai.2024.1355287
N/A
0DataRank · unranked
19 citations

Kuan‐Jui Su, Zhe Luo, Qing Tian, Lan‐Juan Zhao, Li Wu +3 more

Multi-scale variational autoencoder for imputation of missing values in untargeted metabolomics using whole-genome sequencing data

Computers in Biology and Medicine(2024)10.1016/j.compbiomed.2024.108813
N/A
0DataRank · unranked
9 citations

Kuan-Jui Su, Chong Wu, Xuewei Cao, Qiuying Sha, Wu Li +11 more

Genomic structural variations link multiple genes to bone mineral density in a multi-ethnic cohort study: Louisiana osteoporosis study

Journal of Bone and Mineral Research(2024)10.1093/jbmr/zjae133
N/A
0DataRank · unranked
8 citations

Chuan Qiu, Jonathan Greenbaum, Xiao Zhang, Anqi Liu, Yong Liu +7 more

Multiplex Detection of SNPs for Genetic Monitoring in Laboratory Mice by Luminex xTAG Assay

Genes(2024)10.3390/genes15121622
N/A
0DataRank · unranked
0 citations

Jie Wei, Hong Wang, Huan Li, Lan‐Juan Zhao, Rui Fu +2 more

Mendelian Randomization Identifies CpG Methylation Sites With Mediation Effects for Genetic Influences on BMD in Peripheral Blood Monocytes

Frontiers in Genetics(2020)10.3389/fgene.2020.00060
N/A
0DataRank · unranked
16 citations

Chuan Qiu, Chao Xu, Qing Tian, Lan‐Juan Zhao, Li Wu +3 more

Multi-ancestry whole genome sequencing analysis of lean body mass

Genome biology(2025)10.1186/s13059-025-03520-x
N/A
0DataRank · unranked
1 citations

Kuan‐Jui Su, Bodhisattwa Banerjee, Ittai Eres, Yi-Hsiang Hsu, Carolyn Crandall +21 more

Multi-view information fusion using multi-view variational autoencoder to predict proximal femoral fracture load

Frontiers in Endocrinology(2023)10.3389/fendo.2023.1261088
N/A
0DataRank · unranked
7 citations

Joyce H. Keyak, Xuewei Cao, Qiuying Sha, Li Wu, Zhe Luo +9 more