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Linlin Pan

Biographic Data

ID5864989
NAMELinlin Pan
GIVEN NAMESLinlin
FAMILY NAMEPan
SIGNATUREPAN L
AFFILIATIONSShandong University of Traditional Chinese Medicine
ORCID0000-0002-5909-0309
VERIFIEDNo
TOTAL WORKS4
TOTAL CITATIONS0
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Epidemiological correlations and seasonal patterns of osteoporosis and its comorbidities: A 14-year big data analysis using search engine trends

    Open Access•Wei Tao, Tao Wei et al.•ARTICLE•Frontiers in Public Health•2026

    Background Osteoporosis (OP) is a systemic bone disease often coexisting with multiple conditions. However, the population-level, real-time epidemiological links and synchronized seasonal trends between OP and a broad spectrum of comorbidities remain poorly characterized. This study aimed to utilize internet big data to analyze correlation in search trends between OP and associated diseases and assess the potential impact of COVID-19 containment …

  • Mental Health of Parents and Preschool-Aged Children During the Covid-19 Pandemic: The Mediating Role of Harsh Parenting and Child Sleep Disturbances

    Open Access•Peiyao Wang, Xiaoning Sun et al.•ARTICLE•Frontiers in Psychiatry•2021

    In the context of the coronavirus disease-2019 (COVID-19) pandemic, mental health problems of parents and children have become a public issue. Herein, we explored the association between parental well-being index and child mental health problems during the pandemic and the mediating role of harsh parenting and child sleep disturbances. An online survey was conducted among 16,398 parents of children aged 3-6 years (48.1% girls, M age = 4.69 years,…

  • TMT-based proteomics analysis reveals the efficacy of jiangzhuo formula in improving the lipid profiles of dyslipidemia rats

    Open Access•Linlin Pan, Yuan Tian et al.•ARTICLE•Journal of Ethnopharmacology•2021

  • Network pharmacology and metabolomics study on the intervention of traditional Chinese medicine Huanglian Decoction in rats with type 2 diabetes mellitus

    Open Access•Linlin Pan, Zhuangzhuang Li et al.•ARTICLE•Journal of Ethnopharmacology•2020

No prominent works on this page.

  • Network pharmacology and metabolomics study on the intervention of traditional Chinese medicine Huanglian Decoction in rats with type 2 diabetes mellitus

    Open Access•Linlin Pan, Zhuangzhuang Li et al.•ARTICLE•Journal of Ethnopharmacology•2020

  • Mental Health of Parents and Preschool-Aged Children During the Covid-19 Pandemic: The Mediating Role of Harsh Parenting and Child Sleep Disturbances

    Open Access•Peiyao Wang, Xiaoning Sun et al.•ARTICLE•Frontiers in Psychiatry•2021

    In the context of the coronavirus disease-2019 (COVID-19) pandemic, mental health problems of parents and children have become a public issue. Herein, we explored the association between parental well-being index and child mental health problems during the pandemic and the mediating role of harsh parenting and child sleep disturbances. An online survey was conducted among 16,398 parents of children aged 3-6 years (48.1% girls, M age = 4.69 years,…

  • TMT-based proteomics analysis reveals the efficacy of jiangzhuo formula in improving the lipid profiles of dyslipidemia rats

    Open Access•Linlin Pan, Yuan Tian et al.•ARTICLE•Journal of Ethnopharmacology•2021

  • Epidemiological correlations and seasonal patterns of osteoporosis and its comorbidities: A 14-year big data analysis using search engine trends

    Open Access•Wei Tao, Tao Wei et al.•ARTICLE•Frontiers in Public Health•2026

    Background Osteoporosis (OP) is a systemic bone disease often coexisting with multiple conditions. However, the population-level, real-time epidemiological links and synchronized seasonal trends between OP and a broad spectrum of comorbidities remain poorly characterized. This study aimed to utilize internet big data to analyze correlation in search trends between OP and associated diseases and assess the potential impact of COVID-19 containment …

Bioinformatics (2 works) · Biology (2 works) · Diabetes mellitus (2 works) · Disease (2 works) · Endocrinology (2 works) · Medicine (2 works) · Metabolomics (2 works) · Pharmacology (2 works) · Association (psychology (1 works) · Big data (1 works)

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