Gaowei CHEN
Gaowei CHEN
  • 职称:
    Associate Investigator
  • 联系方式:
    gw.chen@siat.ac.cn
  • 个人网页:
  • 座右铭:
个人简介

Dr. Gaowei Chen, Associate Researcher. Dr. Chen earned his Ph.D. from the University of Chinese Academy of Sciences and completed postdoctoral training at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. His research focuses on the neural mechanisms and intervention strategies related to obesity and addictive behaviors.

研究领域

Obesity and drug addiction

代表论著

(1) Chen G#, Lai S#, Jiang S, Li F, Sun K, Wu X, Zhou K, Liu Y, Deng X, Chen Z, Xu F, Xu Y, Wang K, Cao G, Xu F, Bi GQ, Zhu Y. Cellular and circuit architecture of the lateral septum for reward processing. Neuron. 2024 Aug 21;112(16):2783-2798.e9. doi: 10.1016/j.neuron.2024.06.004.
(2) Jiang S#, Lai S#, Jing H, Wu X, Li F, Chen B, Bao J, Wang L, Chen G*, Zhu Y*. High-fat diet disrupts a septal control on feeding to promote obesity in male mice. Nat Commun. 2025 Dec 27;17(1):1248. doi: 10.1038/s41467-025-68010-x.
(3) Chen G, Lai S, Bao G, Ke J, Meng X, Lu S, Wu X, Xu H, Wu F, Xu Y, Xu F, Bi GQ, Peng G, Zhou K, Zhu Y. Distinct reward processing by subregions of the nucleus accumbens. Cell Rep. 2023 Feb 28;42(2):112069. doi: 10.1016/j.celrep.2023.112069.
(4) Chen Z#, Chen G#, Zhong J, Jiang S, Lai S, Xu H, Deng X, Li F, Lu S, Zhou K, Li C, Liu Z, Zhang X, Zhu Y. A circuit from lateral septum neurotensin neurons to tuberal nucleus controls hedonic feeding. Mol Psychiatry. 2022 Dec;27(12):4843-4860. doi: 10.1038/s41380-022-01742-0.

科研\学术成果

Dr. Chen has published multiple papers in Neuron, Nature Communications, Molecular Psychiatry, and Cell Reports. He has successively received funding from projects including the National Natural Science Foundation of China Young Scientists Fund, the National Postdoctoral Researchers Funding Program, and the Chinese Academy of Sciences Special Research Assistant Program. His honors include the Chinese Academy of Sciences President's Outstanding Award and the HT Chang Neuroscientist Excellent Graduate Thesis Award.