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Guisheng Liu

Biographic Data

ID7015751
NAMEGuisheng Liu
GIVEN NAMESGuisheng
FAMILY NAMELiu
SIGNATURELIU G
AFFILIATIONSInstitute of Genetics and Developmental Biology
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2005
LATEST PUBLICATION YEAR2025
H-INDEX0
  • The impact of multipollutant exposure on hepatic steatosis

    Open Access•Chunying Yan, Zhanfang Zhu et al.•ARTICLE•Frontiers in Public Health•2025

    Introduction This study examines the synergistic effects of multi-pollutant exposure on hepatic lipid accumulation in non-alcoholic fatty liver disease (NAFLD) through the application of an explainable machine learning framework. This approach addresses the limitations of traditional models in managing complex environmental interactions. Methods Using data from the National Health and Nutrition Examination Survey (NHANES) 2015–2016 (n = 494), we …

  • The Chinese traditional medicine ‘Bushen Yinao Pian’ increased the level of ageing-related gene LRPAP-1 expression in the cerebral tissue of accelerated senescence-prone mouse 8/Ta

    Open Access•Chong Zhang, Ting Yang et al.•ARTICLE•Journal of Ethnopharmacology•2005

No prominent works on this page.

  • The Chinese traditional medicine ‘Bushen Yinao Pian’ increased the level of ageing-related gene LRPAP-1 expression in the cerebral tissue of accelerated senescence-prone mouse 8/Ta

    Open Access•Chong Zhang, Ting Yang et al.•ARTICLE•Journal of Ethnopharmacology•2005

  • The impact of multipollutant exposure on hepatic steatosis

    Open Access•Chunying Yan, Zhanfang Zhu et al.•ARTICLE•Frontiers in Public Health•2025

    Introduction This study examines the synergistic effects of multi-pollutant exposure on hepatic lipid accumulation in non-alcoholic fatty liver disease (NAFLD) through the application of an explainable machine learning framework. This approach addresses the limitations of traditional models in managing complex environmental interactions. Methods Using data from the National Health and Nutrition Examination Survey (NHANES) 2015–2016 (n = 494), we …

Medicine (2 works) · Advanced Chemical Sensor Technologies (1 work) · Ageing (1 work) · Alzheimer's disease research and treatments (1 work) · Biology (1 work) · cDNA library (1 work) · Cell Biology (1 work) · Clusterin in disease pathology (1 work) · Complementary DNA (1 work) · Computer Science (1 work)

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