Wei Zhuang
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Principal Investigator (PI) & co-PI
Also affiliated: Boston University (2009–2016); Creighton University (2013–2016); University of Nebraska at Omaha (2004); Nanjing University of Chinese Medicine (2025); United States Food and Drug Administration (2020–2025); University of California, San Francisco (2011); Xiamen University (2025); Fujian Academy of Agricultural Sciences (2024); Essen University Hospital (2016); Children’s Hospital of Fudan University Xiamen Branch (2025); Xiamen Maternal and Child Health Hospital (2025); Shenzhen Traditional Chinese Medicine Hospital (2025); University of Duisburg-Essen (2016)
Formerly Arkansas Affiliated with NCTR through 2021; recent publications list Xiamen University.
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Wei Zhuang's research focuses on the genetic determinants of human reproductive aging and hormone regulation. Zhuang has published extensively on genome-wide association studies (GWAS) that identify genetic loci influencing age at menarche and menopause. These studies have leveraged meta-analyses of large cohorts to uncover genetic variants associated with these traits, revealing potential roles for DNA repair and immune pathways in reproductive timing.
Further research by Zhuang has investigated the genetic underpinnings of circulating sex hormone levels, including sex hormone-binding globulin (SHBG) and dehydroepiandrosterone sulfate (DHEAS). These investigations aim to elucidate the complex interplay between genetics and hormonal regulation, with implications for understanding aging mechanisms. Zhuang's work has been published in peer-reviewed journals and contributes to the broader field of human genetics and reproductive health.
Metrics
- h-index: 17
- Publications: 33
- Citations: 2,436
Positions
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Principal Investigator (PI) & co-PI 2017–presentUnited States Food and Drug Administration Division of Bioinformatics and Biostatistics ORCID
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Principal Investigator (PI) & co-PI publications 2020–2025National Center for Toxicological Research ORCID
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Assistant Professor 2013–2017Creighton University School of Medicine ORCID
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Statistical Consultant 2012–2013Samyak Solutions (associated with NIH Heart, Lung and Blood Institute) ORCID
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Research Assistant, Instructor & Data Assistant 2008–2012Boston University Biostatistics ORCID
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Research Assistant 2005–2007University of Michigan–Ann Arbor Biostatistics ORCID
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Research Assistant & Biological Data Analyst 2003–2005University of Nebraska Medical Center ORCID
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Graduate Assistant 2001–2003University of Nebraska at Omaha Information Systems and Quantitative Analysis (ISQA) ORCID
Selected Publications
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The MCTOT app: A publicly available tool for statistical cycle-to-threshold analysis and inference of informative but uncertainly determined qPCR data (2025)
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A robust biostatistical method leverages informative but uncertainly determined qPCR data for biomarker detection, early diagnosis, and treatment (2022)
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Elevated bilirubin, alkaline phosphatase at onset, and drug metabolism are associated with prolonged recovery from DILI (2021)
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Reproducibility Challenges for Biomarker Detection with Uncertain But Informative Experimental Data (2020)
Collaboration Network
Top Collaborators
- Reproducibility Challenges for Biomarker Detection with Uncertain But Informative Experimental Data
- A robust biostatistical method leverages informative but uncertainly determined qPCR data for biomarker detection, early diagnosis, and treatment
- Reproducibility Challenges for Biomarker Detection with Uncertain But Informative Experimental Data
- A robust biostatistical method leverages informative but uncertainly determined qPCR data for biomarker detection, early diagnosis, and treatment
- Reproducibility Challenges for Biomarker Detection with Uncertain But Informative Experimental Data
- Elevated bilirubin, alkaline phosphatase at onset, and drug metabolism are associated with prolonged recovery from DILI
- Elevated bilirubin, alkaline phosphatase at onset, and drug metabolism are associated with prolonged recovery from DILI
- Elevated bilirubin, alkaline phosphatase at onset, and drug metabolism are associated with prolonged recovery from DILI
- Elevated bilirubin, alkaline phosphatase at onset, and drug metabolism are associated with prolonged recovery from DILI
- Elevated bilirubin, alkaline phosphatase at onset, and drug metabolism are associated with prolonged recovery from DILI
- Elevated bilirubin, alkaline phosphatase at onset, and drug metabolism are associated with prolonged recovery from DILI
- Elevated bilirubin, alkaline phosphatase at onset, and drug metabolism are associated with prolonged recovery from DILI
- Elevated bilirubin, alkaline phosphatase at onset, and drug metabolism are associated with prolonged recovery from DILI
- A robust biostatistical method leverages informative but uncertainly determined qPCR data for biomarker detection, early diagnosis, and treatment
- A robust biostatistical method leverages informative but uncertainly determined qPCR data for biomarker detection, early diagnosis, and treatment
- The MCTOT app: A publicly available tool for statistical cycle-to-threshold analysis and inference of informative but uncertainly determined qPCR data
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