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Yuying Huang on Muck Rack

Yuying Huang

As seen in: Nature, Wiley Online Library, Frontiers, Frontiers in Immunology, MDPI, Taylor & Francis Online, Science Magazine, Royal Society of Chemistry, BioRxiv, Cell Press and
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Articles

BRAF recruitment to spinal sensory synapses promotes neuropathic pain by potentiating transsynaptic NMDA receptor activity

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By Daozhong Jin, Fat-fighting club cellsBy, Annalisa M. VanHook Verified, Hong Zhou Chen, Yuying Huang, Shao-Rui Chen, Hui-Lin Pan
| Science Magazine Verified
Editor’s summary Abstract INTRODUCTION RESULTS DISCUSSION MATERIALS AND METHODS Acknowledgments Supplementary Materials REFERENCES AND NOTES Information & Authors Metrics & Citations View Options References Figures Tables Media Share This article has 0 eLetter . Editor’s summary Increased activity of glutamate receptors called NMDARs in the spinal cord drives chronic neuropathic pain. Jin et al.
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Sensory neuron BRAF mediates opioid-induced hyperalgesia and tolerance via presynaptic NMDA receptor hyperactivity

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By Daozhong Jin, hong chen, Yuying Huang
| The Journal of Clinical Investigation
ResearchNeuroscienceOncology Open Access | 10.1172/JCI201808 J Clin Invest. https://doi.org/10.1172/JCI201808. Copyright © 2026, Jin et al. This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. View PDF Abstract Opioids are essential analgesics for managing severe pain but can paradoxically increase pain sensitivity (hyperalgesia) and diminish analgesic efficacy (tolerance).
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Fully Bayesian Sequential Design for Heteroscedastic Stochastic Simulations

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By Yuying Huang, Samuel Wong
| Taylor & Francis Online
Advanced search Technometrics Latest Articles Submit an article Journal homepage Full Article Figures & data References Supplemental Citations Metrics Reprints & Permissions Read this article /doi/full/10.1080/00401706.2026.2703239?needAccess=true Accepted author version Abstract We present a fully Bayesian sequential strategy for predicting the mean response surface of heteroscedastic stochastic simulation models.
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