Match tier Likely match
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-08-15

Baitang Ning

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.

Researcher

Also affiliated: Qingdao University (2020); Nanjing Agricultural University (2015); Centers for Disease Control and Prevention (2012); United States Department of Health and Human Services (2010–2012); United States Food and Drug Administration (2006–2023); Chinese Academy of Medical Sciences & Peking Union Medical College (2007); Wenzhou Medical University (2015); Biochemical Society (2010); First Affiliated Hospital of Guangzhou Medical University (2021); National Cancer Institute (2021); State Key Laboratory of Respiratory Disease (2021); Dongyang People's Hospital (2015); Guangzhou Medical University (2021); Western University of Health Sciences (2008)

Faculty Researcher

45 h-index 168 pubs 11,347 cited

  • Humans
  • Polymorphism, Single Nucleotide
  • MicroRNAs
  • Animals
  • Hep G2 Cells
  • Gene Expression Profiling
  • Hepatocytes
  • High-Throughput Nucleotide Sequencing
  • Cell Line
  • Genetic Predisposition to Disease
  • Sequence Analysis, RNA
  • Male
  • Female
  • RNA, Messenger
  • Liver

Biography and Research Information

OverviewAI-generated summary

Baitang Ning's research focuses on the development and application of high-throughput sequencing technologies for genetic variation detection and the assessment of their clinical relevance, particularly in cancer and drug toxicity studies. Ning has been involved in projects aimed at establishing best practices for mutation detection using whole-genome and whole-exome sequencing, including the development of tools like X-CNV for predicting the pathogenicity of copy number variations. This work contributes to improving the accuracy and reproducibility of genomic variant analysis in research and clinical settings.

Further research includes the characterization of cell lines, such as cytochrome P450-overexpressing HepG2 cells, for evaluating drug and chemical-induced liver toxicity. Ning has also investigated the biochemical features and mutations of key proteins in SARS-CoV-2, examining their impact on RNA therapeutics. Collaborations with researchers at the National Center for Toxicological Research, including Joe Meehan, Bohu Pan, and Weigong Ge, have been extensive, with numerous shared publications indicating a strong working relationship.

Metrics

  • h-index: 45
  • Publications: 168
  • Citations: 11,347

Selected Publications

  • SARS-CoV-2 Spike Protein’s Structural Dynamics Affect the Activity of the Bebtelovimab Antibody (2026)
    Journal of Chemical Information and Modeling DOI OpenAlex
  • Microphysiological systems as an emerging in vitro approach for the evaluation of drug absorption, distribution, metabolism, and excretion and toxicity (2025)
    Drug Metabolism and Disposition 8 citations DOI OpenAlex
  • Identification of Genetic Risk Factors Associated With Herbal and Dietary Supplement–Induced Acute Liver Failure Using Whole Exome Sequencing Analysis (2025)
    Gastro Hep Advances DOI OpenAlex
  • DILIrank dataset for QSAR modeling of drug-induced liver injury (2023)
    Elsevier eBooks DOI OpenAlex
  • Pharmacological Effects of Ketoconazole in the Treatment of Steroidogenesis Suppression via CYP17A1 Inhibition May Involve MicroRNA Regulation (2023)
    Journal of Pharmacology and Experimental Therapeutics 1 citation DOI OpenAlex
  • Additional file 3 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022)
    Figshare DOI OpenAlex
  • Additional file 13 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022)
    Figshare DOI OpenAlex
  • Additional file 5 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022)
    Figshare DOI OpenAlex
  • Additional file 15 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022)
    Figshare DOI OpenAlex
  • Additional file 10 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022)
    Figshare DOI OpenAlex
  • Additional file 9 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022)
    Figshare DOI OpenAlex
  • Additional file 11 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022)
    Figshare DOI OpenAlex
  • Additional file 1 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022)
    Figshare DOI OpenAlex
  • Additional file 6 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022)
    Figshare DOI OpenAlex
  • Additional file 12 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022)
    Figshare DOI OpenAlex

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