Geng‐Lin Li

4.3k total citations · 1 hit paper
51 papers, 3.4k citations indexed

About

Geng‐Lin Li is a scholar working on Sensory Systems, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Geng‐Lin Li has authored 51 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Sensory Systems, 24 papers in Molecular Biology and 17 papers in Cellular and Molecular Neuroscience. Recurrent topics in Geng‐Lin Li's work include Hearing, Cochlea, Tinnitus, Genetics (28 papers), Neuroscience and Neuropharmacology Research (12 papers) and Photoreceptor and optogenetics research (10 papers). Geng‐Lin Li is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (28 papers), Neuroscience and Neuropharmacology Research (12 papers) and Photoreceptor and optogenetics research (10 papers). Geng‐Lin Li collaborates with scholars based in China, United States and Germany. Geng‐Lin Li's co-authors include Henrique von Gersdorff, R. Stanley Williams, Sergey Savel’ev, Qing Wu, Saumil Joshi, J. Joshua Yang, Rivu Midya, Qiangfei Xia, Hao Jiang and Miao Hu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Geng‐Lin Li

47 papers receiving 3.4k citations

Hit Papers

Memristors with diffusive dynamics as synaptic emulators ... 2016 2026 2019 2022 2016 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Geng‐Lin Li China 24 1.9k 1.6k 798 780 661 51 3.4k
Steve M. Potter United States 31 991 0.5× 3.4k 2.2× 725 0.9× 2.5k 3.3× 293 0.4× 78 4.5k
Balázs Rózsa Hungary 25 278 0.1× 1.9k 1.2× 817 1.0× 1.1k 1.4× 114 0.2× 81 3.2k
Sérgio Martinoia Italy 41 1.5k 0.8× 3.6k 2.3× 583 0.7× 2.5k 3.3× 31 0.0× 160 5.1k
Daniel A. Wagenaar United States 21 692 0.4× 2.2k 1.4× 386 0.5× 1.6k 2.1× 52 0.1× 52 2.9k
Natalia Caporale United States 8 731 0.4× 1.0k 0.6× 419 0.5× 1.0k 1.3× 44 0.1× 13 2.0k
Yiren Chen China 28 1.1k 0.6× 1.1k 0.7× 654 0.8× 203 0.3× 21 0.0× 93 3.8k
Luca Berdondini Italy 31 891 0.5× 2.2k 1.4× 417 0.5× 1.4k 1.8× 31 0.0× 104 3.0k
Stephen A. Baccus United States 24 390 0.2× 1.6k 1.0× 1.2k 1.5× 1.6k 2.0× 116 0.2× 42 3.0k
Sotiris C. Masmanidis United States 21 543 0.3× 1.2k 0.8× 266 0.3× 1.2k 1.6× 59 0.1× 40 2.3k
Andreas T. Schaefer United Kingdom 29 255 0.1× 2.3k 1.5× 333 0.4× 1.2k 1.5× 1.6k 2.4× 71 3.3k

Countries citing papers authored by Geng‐Lin Li

Since Specialization
Citations

This map shows the geographic impact of Geng‐Lin 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 Geng‐Lin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geng‐Lin Li more than expected).

Fields of papers citing papers by Geng‐Lin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geng‐Lin 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 Geng‐Lin Li. The network helps show where Geng‐Lin Li may publish in the future.

Co-authorship network of co-authors of Geng‐Lin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Geng‐Lin Li. A scholar is included among the top collaborators of Geng‐Lin 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 Geng‐Lin Li. Geng‐Lin Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Hui, Jingjing Zhao, Guotao Tang, et al.. (2025). Comparative analysis of RNA versus protein splicing in dual AAV-mediated gene therapy in a mouse model of DFNB9 deafness. Molecular Therapy. 34(1). 203–215.
2.
Tan, Fangzhi, Liyan Zhang, Yicheng Lu, et al.. (2025). Combined AAV-mediated specific Gjb2 expression restores hearing in DFNB1 mouse models. Molecular Therapy. 33(7). 3006–3021. 6 indexed citations
3.
Liao, Menghui, Xin Chen, Ling Lü, et al.. (2025). Multifaceted Role of RIMBP2 in Promoting Hearing in Murine Cochlear Hair Cells. Neuroscience Bulletin. 42(2). 270–284.
4.
Wang, Hui, Honghai Tang, Jingjing Zhao, et al.. (2024). Hair cell-specific Myo15 promoter-mediated gene therapy rescues hearing in DFNB9 mouse model. Molecular Therapy — Nucleic Acids. 35(1). 102135–102135. 15 indexed citations
6.
Wang, Zijing, Honghai Tang, Hui Wang, et al.. (2024). Engineering of the AAV-Compatible Hair Cell-Specific Small-Size Myo15 Promoter for Gene Therapy in the Inner Ear. Research. 7. 341–341. 6 indexed citations
7.
Zhang, Xiang, Yuxin Chen, Fang Wang, et al.. (2023). Asymmetric pendrin homodimer reveals its molecular mechanism as anion exchanger. Nature Communications. 14(1). 3012–3012. 18 indexed citations
9.
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
10.
Li, Geng‐Lin, et al.. (2022). Estrogens rapidly shape synaptic and intrinsic properties to regulate the temporal precision of songbird auditory neurons. Cerebral Cortex. 33(7). 3401–3420. 2 indexed citations
11.
Xiao, Qingquan, Zhijiao Xu, Yuanyuan Xue, et al.. (2022). Rescue of autosomal dominant hearing loss by in vivo delivery of mini dCas13X-derived RNA base editor. Science Translational Medicine. 14(654). eabn0449–eabn0449. 66 indexed citations
12.
Cuadra, Adolfo E., et al.. (2021). Phase-Locking Requires Efficient Ca2+Extrusion at the Auditory Hair Cell Ribbon Synapse. Journal of Neuroscience. 41(8). 1625–1635. 2 indexed citations
13.
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
14.
Lv, Jun, Xiaolong Fu, Yige Li, et al.. (2021). Deletion of Kcnj16 in Mice Does Not Alter Auditory Function. Frontiers in Cell and Developmental Biology. 9. 630361–630361. 34 indexed citations
15.
Li, Geng‐Lin, Yuechen Jia, & Feng Chen. (2020). Research progress of photonics devices on lithium-niobate-on-insulator thin films. Acta Physica Sinica. 69(15). 157801–157801. 10 indexed citations
16.
Sun, Feng, et al.. (2019). Spectrally filtered passive Si photodiode array for on-chip fluorescence imaging of intracellular calcium dynamics. Scientific Reports. 9(1). 9083–9083. 7 indexed citations
17.
Wang, Zhongrui, Saumil Joshi, Sergey Savel’ev, et al.. (2016). Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing. Nature Materials. 16(1). 101–108. 1899 indexed citations breakdown →
18.
Kim, Mean‐Hwan, Geng‐Lin Li, & Henrique von Gersdorff. (2013). Single Ca2+ channels and exocytosis at sensory synapses. The Journal of Physiology. 591(13). 3167–3178. 35 indexed citations
19.
Li, Geng‐Lin, József Vı́gh, & Henrique von Gersdorff. (2007). Short-Term Depression at the Reciprocal Synapses between a Retinal Bipolar Cell Terminal and Amacrine Cells. Journal of Neuroscience. 27(28). 7377–7385. 26 indexed citations
20.
Leão, Ricardo M., Christopher Kushmerick, Raphael Pinaud, et al.. (2005). Presynaptic Na+Channels: Locus, Development, and Recovery from Inactivation at a High-Fidelity Synapse. Journal of Neuroscience. 25(14). 3724–3738. 123 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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