Huawei Li

3.6k total citations
57 papers, 2.6k citations indexed

About

Huawei Li is a scholar working on Sensory Systems, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Huawei Li has authored 57 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Sensory Systems, 30 papers in Molecular Biology and 17 papers in Cognitive Neuroscience. Recurrent topics in Huawei Li's work include Hearing, Cochlea, Tinnitus, Genetics (39 papers), Hearing Loss and Rehabilitation (17 papers) and RNA regulation and disease (10 papers). Huawei Li is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (39 papers), Hearing Loss and Rehabilitation (17 papers) and RNA regulation and disease (10 papers). Huawei Li collaborates with scholars based in China, United States and France. Huawei Li's co-authors include Stefan Heller, Hong Liu, Renjie Chai, Wenyan Li, Yilai Shu, C. Eduardo Corrales, Albert S.B. Edge, Yan Chen, Zheng‐Yi Chen and Dongmei Tang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Huawei Li

55 papers receiving 2.6k citations

Peers

Huawei Li

NEURO

Mark E. Warchol United States

Alain Dabdoub United States

Eri Hashino United States

Jennifer S. Stone United States

Kohei Kawamoto Japan

Douglas A. Cotanche United States

Elizabeth C. Oesterle United States

Anping Xia United States

Hainan Lang United States

Xi Lin United States

Mark E. Warchol United States

Huawei Li

2.1k ×1.1

1.2k ×1.0

356 ×0.6

574 ×1.8

NEURO

356 ×1.4

Citations per year, relative to Huawei Li Huawei Li (= 1×) peers Mark E. Warchol

Countries citing papers authored by Huawei Li

Since Specialization

Citations

This map shows the geographic impact of Huawei Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Huawei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huawei Li more than expected).

Fields of papers citing papers by Huawei Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huawei Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Huawei Li. The network helps show where Huawei Li may publish in the future.

Co-authorship network of co-authors of Huawei Li

This figure shows the co-authorship network connecting the top 25 collaborators of Huawei Li. A scholar is included among the top collaborators of Huawei Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Huawei Li. Huawei Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Jiang, Luoying, Zijing Wang, Yi Zhou, et al.. (2024). Hearing restoration by gene replacement therapy for a multisite-expressed gene in a mouse model of human DFNB111 deafness. The American Journal of Human Genetics. 111(10). 2253–2264. 4 indexed citations

Li, Qing, Chong Cui, Daqi Wang, et al.. (2023). The pathogenesis of common Gjb2 mutations associated with human hereditary deafness in mice. Cellular and Molecular Life Sciences. 80(6). 148–148. 9 indexed citations

Zhang, Longlong, Jinghan Wang, Biyun Zhu, et al.. (2023). Preclinical evaluation of the efficacy and safety of AAV1-hOTOF in mice and nonhuman primates. Molecular Therapy — Methods & Clinical Development. 31. 101154–101154. 21 indexed citations

Cui, Chong, Daqi Wang, Fang Wang, et al.. (2022). Precise detection of CRISPR-Cas9 editing in hair cells in the treatment of autosomal dominant hearing loss. Molecular Therapy — Nucleic Acids. 29. 400–412. 36 indexed citations

Guo, Yang, Lei Han, Shuang Han, et al.. (2022). Specific knockdown of Htra2 by CRISPR-CasRx prevents acquired sensorineural hearing loss in mice. Molecular Therapy — Nucleic Acids. 28. 643–655. 16 indexed citations

Cui, Chong, Luping Zhang, Fuping Qian, et al.. (2022). A humanized murine model, demonstrating dominant progressive hearing loss caused by a novel KCNQ4 mutation (p. G228D ) from a large Chinese family. Clinical Genetics. 102(2). 149–154. 6 indexed citations

Wang, Jinghan, Liping Zhao, Xi Gu, et al.. (2022). Efficient Delivery of Adeno-Associated Virus into Inner Ear In Vivo Through Trans-Stapes Route in Adult Guinea Pig. Human Gene Therapy. 33(13-14). 719–728. 4 indexed citations

Liu, Chang, Dongmei Tang, Zhiwei Zheng, et al.. (2022). A PRMT5 inhibitor protects against noise-induced hearing loss by alleviating ROS accumulation. Ecotoxicology and Environmental Safety. 243. 113992–113992. 14 indexed citations

Wei, Yarui, Xiaoxiao Wang, Rizwan Ali, et al.. (2022). Brain hemispheres with right temporal lobe damage swap dominance in early auditory processing of lexical tones. Frontiers in Neuroscience. 16. 909796–909796. 1 indexed citations

10.

Gu, Xi, Daqi Wang, Zhijiao Xu, et al.. (2021). Prevention of acquired sensorineural hearing loss in mice by in vivo Htra2 gene editing. Genome biology. 22(1). 86–86. 43 indexed citations

11.

Xia, Mingyu, et al.. (2021). Selective ablation of inner hair cells and subsequent in-situ hair cell regeneration in the neonatal mouse cochlea. Hearing Research. 407. 108275–108275. 8 indexed citations

12.

Chen, Yan, Yige Li, Geng‐Lin Li, et al.. (2021). Generation of mature and functional hair cells by co-expression of Gfi1, Pou4f3, and Atoh1 in the postnatal mouse cochlea. Cell Reports. 35(3). 109016–109016. 82 indexed citations

13.

Tang, Dongmei, Huawei Li, & Lin Chen. (2019). Advances in Understanding, Diagnosis, and Treatment of Tinnitus. Advances in experimental medicine and biology. 1130. 109–128. 41 indexed citations

14.

Chen, Qianqian, Yizhou Quan, Chengying Xie, et al.. (2017). Inactivation of STAT3 Signaling Impairs Hair Cell Differentiation in the Developing Mouse Cochlea. Stem Cell Reports. 9(1). 231–246. 14 indexed citations

15.

Ni, Wenli, Lin Chen, Luo Guo, et al.. (2016). Extensive Supporting Cell Proliferation and Mitotic Hair Cell Generation by In Vivo Genetic Reprogramming in the Neonatal Mouse Cochlea. Journal of Neuroscience. 36(33). 8734–8745. 58 indexed citations

16.

Li, Huawei. (2015). Epigenetic and Signaling Pathway Regulation in Hair Cell Regeneration. SPIRE - Sciences Po Institutional REpository. 1(1). 2 indexed citations

17.

Lü, Na, Yan Chen, Zhengmin Wang, et al.. (2012). Sonic hedgehog initiates cochlear hair cell regeneration through downregulation of retinoblastoma protein. Biochemical and Biophysical Research Communications. 430(2). 700–705. 22 indexed citations

18.

Cheng, Jing, Sudan He, Yanping Lu, et al.. (2011). Functional Mutation of SMAC/DIABLO, Encoding a Mitochondrial Proapoptotic Protein, Causes Human Progressive Hearing Loss DFNA64. The American Journal of Human Genetics. 89(1). 56–66. 31 indexed citations

19.

Li, Huawei, C. Eduardo Corrales, Albert S.B. Edge, & Stefan Heller. (2004). Stem cells as therapy for hearing loss. Trends in Molecular Medicine. 10(7). 309–315. 72 indexed citations

20.

Li, Huawei, Hong Liu, & Stefan Heller. (2003). Pluripotent stem cells from the adult mouse inner ear. Nature Medicine. 9(10). 1293–1299. 359 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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