Ling‐Gang Wu

4.2k total citations · 1 hit paper
56 papers, 3.2k citations indexed

About

Ling‐Gang Wu is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ling‐Gang Wu has authored 56 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 37 papers in Cell Biology and 29 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ling‐Gang Wu's work include Cellular transport and secretion (36 papers), Lipid Membrane Structure and Behavior (34 papers) and Neuroscience and Neuropharmacology Research (20 papers). Ling‐Gang Wu is often cited by papers focused on Cellular transport and secretion (36 papers), Lipid Membrane Structure and Behavior (34 papers) and Neuroscience and Neuropharmacology Research (20 papers). Ling‐Gang Wu collaborates with scholars based in United States, Germany and China. Ling‐Gang Wu's co-authors include Peter Saggau, Xinsheng Wu, Jianyuan Sun, Liming He, Bert Sakmann, J. Gerard G. Borst, Jianyuan Sun, Raja Mohan, Wei Wu and William J. Betz and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Ling‐Gang Wu

53 papers receiving 3.2k citations

Hit Papers

Presynaptic inhibition of... 1997 2026 2006 2016 1997 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling‐Gang Wu United States 28 2.1k 2.1k 1.2k 510 286 56 3.2k
Jeremy S. Dittman United States 27 2.2k 1.0× 1.9k 0.9× 1.2k 1.0× 507 1.0× 175 0.6× 38 3.3k
JeongSeop Rhee Germany 28 2.4k 1.1× 1.6k 0.8× 1.4k 1.2× 322 0.6× 290 1.0× 50 3.6k
Felix E. Schweizer United States 26 1.7k 0.8× 1.4k 0.7× 1.0k 0.8× 229 0.4× 404 1.4× 54 2.7k
Nobutoshi Harata Japan 28 1.5k 0.7× 1.7k 0.8× 560 0.5× 317 0.6× 223 0.8× 68 2.6k
Roger Janz United States 31 2.1k 1.0× 2.7k 1.3× 1.4k 1.2× 450 0.9× 464 1.6× 41 4.4k
Maria Passafaro Italy 36 2.8k 1.4× 2.8k 1.3× 1.0k 0.9× 586 1.1× 467 1.6× 82 4.8k
Matthias Kneussel Germany 39 3.1k 1.5× 2.8k 1.3× 1.5k 1.3× 361 0.7× 268 0.9× 110 4.9k
Jianhua Xu United States 22 1.1k 0.5× 943 0.5× 702 0.6× 283 0.6× 231 0.8× 38 2.2k
Nael Nadif Kasri Netherlands 37 2.3k 1.1× 959 0.5× 516 0.4× 436 0.9× 277 1.0× 103 3.5k
Sumiko Mochida Japan 33 2.3k 1.1× 1.9k 0.9× 1.6k 1.3× 149 0.3× 317 1.1× 82 3.4k

Countries citing papers authored by Ling‐Gang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ling‐Gang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ling‐Gang Wu. 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 Ling‐Gang Wu. The network helps show where Ling‐Gang Wu may publish in the future.

Co-authorship network of co-authors of Ling‐Gang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ling‐Gang Wu. A scholar is included among the top collaborators of Ling‐Gang Wu 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 Ling‐Gang Wu. Ling‐Gang Wu 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.
Wei, Lisi, Wonchul Shin, Chung Yu Chan, et al.. (2025). A phosphoinositide switch from PI(4,5)P 2 to PI4P triggers endocytosis by inducing dynamin-mediated fission in secretory cells. Science Advances. 11(42). eady8065–eady8065.
3.
Jin, Yinghui, et al.. (2022). Dynamin 1 controls vesicle size and endocytosis at hippocampal synapses. Cell Calcium. 103. 102564–102564. 6 indexed citations
4.
Ge, Lihao, Wonchul Shin, Gianvito Arpino, et al.. (2022). Sequential compound fusion and kiss-and-run mediate exo- and endocytosis in excitable cells. Science Advances. 8(24). eabm6049–eabm6049. 18 indexed citations
5.
Chan, Chung Yu, Sue Han, Xin Wang, Xiaoli Guo, & Ling‐Gang Wu. (2022). Visualization of Exo- and Endocytosis Membrane Dynamics with Super-Resolution STED Microscopy. Methods in molecular biology. 2565. 77–87. 1 indexed citations
6.
Han, Sue, et al.. (2022). Confocal Microscopy to Measure Three Modes of Fusion Pore Dynamics in Adrenal Chromaffin Cells. Journal of Visualized Experiments.
7.
Wu, Xinsheng, Yalan Zhang, Tiansheng Li, et al.. (2021). Presynaptic Kv3 channels are required for fast and slow endocytosis of synaptic vesicles. Neuron. 109(6). 938–946.e5. 13 indexed citations
8.
Shin, Wonchul, Lisi Wei, Gianvito Arpino, et al.. (2021). Preformed Ω-profile closure and kiss-and-run mediate endocytosis and diverse endocytic modes in neuroendocrine chromaffin cells. Neuron. 109(19). 3119–3134.e5. 21 indexed citations
9.
Chen, Zuojia, Jialie Luo, Jian Li, et al.. (2020). Interleukin-33 Promotes Serotonin Release from Enterochromaffin Cells for Intestinal Homeostasis. Immunity. 54(1). 151–163.e6. 106 indexed citations
10.
Han, Wenyan, Jun Li, Kenneth A. Pelkey, et al.. (2019). Shisa7 is a GABA A receptor auxiliary subunit controlling benzodiazepine actions. Science. 366(6462). 246–250. 69 indexed citations
11.
Peng, Shiyong, Jianhua Xu, Kenneth A. Pelkey, et al.. (2015). Suppression of agrin‐22 production and synaptic dysfunction in Cln1−/− mice. Annals of Clinical and Translational Neurology. 2(12). 1085–1104. 10 indexed citations
12.
Wu, Xinsheng & Ling‐Gang Wu. (2014). The Yin and Yang of Calcium Effects on Synaptic Vesicle Endocytosis. Journal of Neuroscience. 34(7). 2652–2659. 36 indexed citations
13.
Xu, Jianhua, Fujun Luo, Zhen Zhang, et al.. (2013). SNARE Proteins Synaptobrevin, SNAP-25, and Syntaxin Are Involved in Rapid and Slow Endocytosis at Synapses. Cell Reports. 3(5). 1414–1421. 71 indexed citations
14.
Xue, Lei & Ling‐Gang Wu. (2010). Post-tetanic potentiation is caused by two signalling mechanisms affecting quantal size and quantal content. The Journal of Physiology. 588(24). 4987–4994. 24 indexed citations
15.
Wu, Xinsheng & Ling‐Gang Wu. (2009). Rapid Endocytosis Does Not Recycle Vesicles within the Readily Releasable Pool. Journal of Neuroscience. 29(35). 11038–11042. 32 indexed citations
16.
Wu, Wei & Ling‐Gang Wu. (2007). Rapid bulk endocytosis and its kinetics of fission pore closure at a central synapse. Proceedings of the National Academy of Sciences. 104(24). 10234–10239. 73 indexed citations
17.
Paradiso, Kenneth G., Wei Wu, & Ling‐Gang Wu. (2007). Methods for Patch Clamp Capacitance Recordings from the Calyx. Journal of Visualized Experiments. 1 indexed citations
18.
Wu, Ling‐Gang, Timothy A. Ryan, & Leon Lagnado. (2007). Modes of Vesicle Retrieval at Ribbon Synapses, Calyx-Type Synapses, and Small Central Synapses. Journal of Neuroscience. 27(44). 11793–11802. 82 indexed citations
19.
He, Liming, Xinsheng Wu, Raja Mohan, & Ling‐Gang Wu. (2006). Two modes of fusion pore opening revealed by cell-attached recordings at a synapse. Nature. 444(7115). 102–105. 171 indexed citations
20.
Wu, Ling‐Gang & Yizhang Chen. (1989). [Rapid membrane effects of adrenocorticoids on celiac ganglion cells of guinea pig].. PubMed. 10(4). 306–10. 1 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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