雜志介紹

Neural Development雜志介紹

《Neural Development》是一本以English為主的開放獲取國際優秀期刊，中文名稱神經發育，本刊主要出版、報道生物學-DEVELOPMENTAL BIOLOGY領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCIE收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為4，最新CiteScore 指數為6.6。

本刊近期中國學者發表的論文主要有：

• Degeneration of saccular hair cells caused by MITF gene mutation

  Author: Yi Du, Li-li Ren, Qing-qing Jiang, Xing-jian Liu, Fei Ji, Yue Zhang, Shuo-long Yuan, Zi-Ming Wu, Wei-Wei Guo, Shi-Ming Yang

• A critical role of RBM8a in proliferation and differentiation of embryonic neural progenitors

  Author: Donghua Zou, Colleen McSweeney, Aswathy Sebastian, Derrick James Reynolds, Fengping Dong, Yijing Zhou, Dazhi Deng, Yonggang Wang, Long Liu, Jun Zhu, Jizhong Zou, Yongsheng Shi, Istvan Albert, Yingwei Mao

• Dorsoventral patterning of the <Emphasis Type="Italic">Xenopus</Emphasis> eye involves differential temporal changes in the response of optic stalk and retinal progenitors to Hh signalling

  Author: Xiumei Wang, Giuseppe Lupo, Rongqiao He, Giuseppina Barsacchi, William A Harris, Ying Liu

• Lacking of palladin leads to multiple cellular events changes which contribute to NTD

  Author: Juan Tan, Xue-Jiao Chen, Chun-Ling Shen, Hong-Xin Zhang, Ling-Yun Tang, Shun-Yuan Lu, Wen-Ting Wu, Ying Kuang, Jian Fei, Zhu-Gang Wang

英文介紹

Neural Development雜志英文介紹

Neural Development is a peer-reviewed open access, online journal, which features studies that use molecular, cellular, physiological or behavioral methods to provide novel insights into the mechanisms that underlie the formation of the nervous system.

Neural Development aims to discover how the nervous system arises and acquires the abilities to sense the world and control adaptive motor output. The field includes analysis of how progenitor cells form a nervous system during embryogenesis, and how the initially formed neural circuits are shaped by experience during early postnatal life. Some studies use well-established, genetically accessible model systems, but valuable insights are also obtained from less traditional models that provide behavioral or evolutionary insights.