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Xiaoyuan Chen

Researcher at National University of Singapore

Publications -  1270
Citations -  115993

Xiaoyuan Chen is an academic researcher from National University of Singapore. The author has contributed to research in topics: Photothermal therapy & Medicine. The author has an hindex of 149, co-authored 994 publications receiving 89870 citations. Previous affiliations of Xiaoyuan Chen include Brown University & University of Southern California.

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Journal Article

microPET and Autoradiographic Imaging of GRP Receptor Expression with 64Cu-DOTA-[Lys3]Bombesin in Human Prostate Adenocarcinoma Xenografts

TL;DR: PET imaging of (64)Cu-DOTA-[Lys(3)]BBN is able to detect GRPR-positive prostate cancer and shows strong tumor-to-background contrast, as demonstrated in athymic nude mice bearing subcutaneous PC-3 and CWR22 tumors.
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NIR‐Responsive On‐Demand Release of CO from Metal Carbonyl‐Caged Graphene Oxide Nanomedicine

TL;DR: On-demand release of carbon monoxide (CO) is realized through a novel near-infrared-responsive nanomedicine in favor of the enhancement of therapy efficacy and biosafety of CO therapy.
Journal Article

A Thiol-Reactive 18F-Labeling Agent, N-[2-(4-18F-Fluorobenzamido)Ethyl]Maleimide, and Synthesis of RGD Peptide-Based Tracer for PET Imaging of αvβ3 Integrin Expression

TL;DR: The ability to noninvasively visualize and quantify tumor integrin αvβ3 expression level will provide new opportunities to document tumor (tumor cells and sprouting tumor vasculature) integrin expression, to more appropriately select patients for antiintegrin treatment, and to monitor treatment efficacy in integrin-positive patients.
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Folding Up of Gold Nanoparticle Strings into Plasmonic Vesicles for Enhanced Photoacoustic Imaging

TL;DR: The stepwise self-assembly of hollow plasmonic vesicles with vesicular membranes containing strings of gold nanoparticles (NPs) is reported and demonstrates that the physical properties of the materials can be tailored by controlling the spatial arrangement of NPs within assemblies to achieve a better performance in biomedical applications.