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Email

wang.j12@unimelb.edu.au

Credentials


Position
Honorary (Senior Fellow)
Department of Paediatrics
ORCID

0000-0001-5701-476X

Dr Jing Wang

Honorary (Senior Fellow)
Department of Paediatrics

298 Scholarly works
0 Projects

HIGHLIGHTS

  • 2026

    Journal article

    Extracellular matrix: new insights into its role in female reproductive aging and potential therapeutic strategies.
    DOI: 10.1038/s41514-026-00371-z
  • 2026

    Journal article

    Measuring Environmental Noise for Babies in Special Care Nurseries and Neonatal Intensive Care Units on a Large Scale: Research Methods
    DOI: 10.1002/hsr2.71890
  • 2026

    Journal article

    Trained Memory of Uterine Macrophages Improves Subsequent Pregnancy Outcomes.
    DOI: 10.1002/advs.74889
  • 2026

    Journal article

    High repetitive frequency pulsed magnetic fields modulate macrophage M2 polarization and ameliorate inflammation-induced murine abortion.
    DOI: 10.1093/biolre/ioag047
  • 2026

    Journal article

    Study protocol - the Australian National Child hearing Health Outcomes Registry (ANCHOR): collecting and connecting national data into a child deafness Learning Health System
    DOI: 10.1186/s12913-026-14123-y
  • 2026

    Journal article

    Prevalence and risk factors of musculoskeletal disorders among medical students in China.
    DOI: 10.1177/10519815251387122
  • 2026

    Journal article

    Oleic Acid Promotes Treg Cell Differentiation via Autophagy Induction and Ameliorates DSS-Induced Colitis.
    DOI: 10.1002/eji.70173
Jing Wang

Latest Honours,
Awards and Fellowships


2022
The Jack Brockhoff Foundation Early Career Medical Research Grant

RECENT SCHOLARLY WORKS

  • 2026

    Journal article

    Association between urinary metal exposure and vital capacity in Chinese university students
    DOI: 10.1016/j.enceco.2026.02.001
  • 2026

    Journal article

    Optimizing Decision-Making in Universal Newborn Hearing Screening: A Value of Information Perspective
    DOI: 10.1016/j.jval.2025.11.017
  • 2025

    Journal article

    Letter to the Editor: "Multichannel deep learning prediction of major pathological response after neoadjuvant immunochemotherapy in lung cancer: a multicenter diagnostic study".
    DOI: 10.1097/JS9.0000000000003109

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