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Lixin Zhang

Researcher at East China University of Science and Technology

Publications -  716
Citations -  28752

Lixin Zhang is an academic researcher from East China University of Science and Technology. The author has contributed to research in topics: Cache & Chemistry. The author has an hindex of 78, co-authored 659 publications receiving 23737 citations. Previous affiliations of Lixin Zhang include Chinese Academy of Sciences & University of Science and Technology of China.

Papers
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Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking

Mingxun Wang, +135 more
- 01 Aug 2016 - 
TL;DR: In GNPS, crowdsourced curation of freely available community-wide reference MS libraries will underpin improved annotations and data-driven social-networking should facilitate identification of spectra and foster collaborations.
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Chemical mapping of a single molecule by plasmon-enhanced Raman scattering

TL;DR: Raman spectral imaging with spatial resolution below one nanometre is demonstrated, resolving the inner structure and surface configuration of a single molecule by spectrally matching the resonance of the nanocavity plasmon to the molecular vibronic transitions, particularly the downward transition responsible for the emission of Raman photons.
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Mechanisms of antibiotic resistance

TL;DR: The efficiency of antibiotics is compromised by a growing number of antibiotic-resistant pathogens and the magnitude of the problem recently prompted a number of international and national bodies to take actions to protect the public.
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Superconductivity Modulated by Quantum Size Effects

TL;DR: The observed oscillatory behavior of the superconducting transition temperature when the film thickness was increased by one atomic layer at a time suggests the possibility of modifying superconductivity and other physical properties of a thin film by exploiting well-controlled and thickness-dependent quantum size effects.
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Molecular Networking as a Dereplication Strategy

TL;DR: It is demonstrated here that molecular networking, an approach that organizes MS/MS data based on chemical similarity, is a powerful complement to traditional dereplication strategies, and is applied to a diverse array of marine and terrestrial microbial samples.