Jun‐Peng Liu scite author profile

Jun‐Peng Liu

3Publications

70Citation Statements Received

110Citation Statements Given

How they've been cited

108

How they cite others

Affiliations

Southwest Hospital, Army Medical University

Publications

Order By: Most citations

Synergy of tendon stem cells and platelet‐rich plasma in tendon healing

Chen

Dong

Liu

et al. 2011

Journal Orthopaedic Research

Get access via publisher Add to dashboard Cite

Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

show abstract

Insulin-Like Growth Factor-1 and Bone Morphogenetic Protein-2 Jointly Mediate Prostaglandin E2-Induced Adipogenic Differentiation of Rat Tendon Stem Cells

et al. 2014

Get access via publisher Add to dashboard Cite

show abstract

Untitled

Liu¹,

Chen²,

Zhou³

et al.

Get access via publisher Add to dashboard Cite

Scite is an AI-powered research tool that helps researchers better discover and evaluate scientific literature through Smart Citations—a revolutionary system that shows whether articles support, contrast, or simply mention a given claim. Founded in 2018, and now part of Research Solutions, Scite has indexed over 1.3 billion citations and partnered with more than 30 major publishers to provide researchers with unparalleled access to scientific literature. With its Scite Assistant, Smart Citation Index, and advanced search capabilities, the platform addresses critical challenges such as information overload and research reproducibility. Trusted by two million active users worldwide, Scite is reshaping how researchers interact with scholarly content—building ethical, transparent AI tools that support rigorous, copyright-compliant research.