J
Jun Chen
Researcher at Shanghai Jiao Tong University
Publications - 2300
Citations - 100809
Jun Chen is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Medicine & Chemistry. The author has an hindex of 136, co-authored 1856 publications receiving 77368 citations. Previous affiliations of Jun Chen include Peking Union Medical College & Nankai University.
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Nanofibrous Co3O4/PPy Hybrid with Synergistic Effect as Bifunctional Catalyst for Lithium-Oxygen Batteries
TL;DR: In this paper, a 3D structured polypyrrole (PPy) nanoweb was used as a bifunctional synergetic catalyst for Li-O2 batteries.
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Long non-coding RNA NIFK-AS1 inhibits M2 polarization of macrophages in endometrial cancer through targeting miR-146a
TL;DR: The findings indicated that NIFK-AS1 inhibited the M2-like polarization of macrophages via targeting miR-146a, thereby reducing the estrogen-induced proliferation, migration and invasion of endometrial cancer cells.
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Mesoporous hollow PtCu nanoparticles for electrocatalytic oxygen reduction reaction
TL;DR: In this paper, the synthesis of mesoporous Pt-Cu hollow nanoparticles using copper nanoparticles as seeds in aqueous solution was reported for the first time, which showed seven times higher specific activity and much better stability towards the oxygen reduction reaction than state-of-the-art Pt/C catalysts.
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A density functional theory and time-dependent density functional theory investigation on the anchor comparison of triarylamine-based dyes
TL;DR: The result shows that cyanoacrylic acid anchor favors better photoelectrochemical properties of DSCs than that of rhodanine-3-acetic acid anchor via providing more shift of TiO(2) conduction band toward the vacuum energy levels (larger open circuit potentials) and more favorable conjugation with titanium.
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Photo-energy Conversion and Storage in an Aprotic Li-O 2 Battery
TL;DR: The photo-involved oxygen cathode reactions in Li-O 2 batteries realize photo-energy conversion and storage in the discharge and charge processes, respectively, and will provide new insights into the deployment of solar energy and batteries.