Chang-Lu Tao

1.2k total citations · 1 hit paper
18 papers, 639 citations indexed

About

Chang-Lu Tao is a scholar working on Molecular Biology, Structural Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Chang-Lu Tao has authored 18 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Structural Biology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Chang-Lu Tao's work include Advanced Electron Microscopy Techniques and Applications (7 papers), Lipid Membrane Structure and Behavior (6 papers) and Photoreceptor and optogenetics research (4 papers). Chang-Lu Tao is often cited by papers focused on Advanced Electron Microscopy Techniques and Applications (7 papers), Lipid Membrane Structure and Behavior (6 papers) and Photoreceptor and optogenetics research (4 papers). Chang-Lu Tao collaborates with scholars based in China, United States and Germany. Chang-Lu Tao's co-authors include Guo‐Qiang Bi, Yun-Tao Liu, Z. Hong Zhou, Pak-Ming Lau, Hui Wang, Lei Qi, Sakar Shivakoti, Rong Sun, Bin Zhang and Peijun Zhang and has published in prestigious journals such as Science, Nature Communications and Journal of Neuroscience.

In The Last Decade

Chang-Lu Tao

16 papers receiving 637 citations

Hit Papers

Isotropic reconstruction for electron tomography with dee... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang-Lu Tao China 13 289 155 143 96 86 18 639
Ulrike Laugks Germany 11 324 1.1× 196 1.3× 116 0.8× 128 1.3× 54 0.6× 16 795
Matthew T. Swulius United States 16 650 2.2× 90 0.6× 183 1.3× 249 2.6× 60 0.7× 27 1.1k
P. Walther Germany 9 305 1.1× 122 0.8× 48 0.3× 87 0.9× 34 0.4× 12 571
Ashleigh M. Raczkowski United States 8 587 2.0× 150 1.0× 94 0.7× 136 1.4× 84 1.0× 11 769
Benjamin G. Kopek United States 12 539 1.9× 227 1.5× 72 0.5× 57 0.6× 99 1.2× 14 1.2k
Yoshiyuki Fukuda Japan 14 522 1.8× 332 2.1× 107 0.7× 236 2.5× 93 1.1× 34 930
Yury S. Bykov Germany 14 633 2.2× 197 1.3× 28 0.2× 295 3.1× 82 1.0× 15 862
Julika Radecke United Kingdom 11 237 0.8× 63 0.4× 101 0.7× 51 0.5× 43 0.5× 17 473
Elena Seiradake United Kingdom 21 835 2.9× 128 0.8× 516 3.6× 265 2.8× 63 0.7× 25 1.4k
Felix J.B. Bäuerlein Germany 11 559 1.9× 485 3.1× 154 1.1× 144 1.5× 76 0.9× 17 1.1k

Countries citing papers authored by Chang-Lu Tao

Since Specialization
Citations

This map shows the geographic impact of Chang-Lu Tao'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 Chang-Lu Tao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang-Lu Tao more than expected).

Fields of papers citing papers by Chang-Lu Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang-Lu Tao. 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 Chang-Lu Tao. The network helps show where Chang-Lu Tao may publish in the future.

Co-authorship network of co-authors of Chang-Lu Tao

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

All Works

18 of 18 papers shown
1.
Hu, Chengcheng, Tongtong Yang, Panpan Xu, et al.. (2025). Condensation-dependent multivalent interactions of EB1 and CENP-R regulate chromosome oscillations in mitosis. Cell Reports. 44(5). 115560–115560.
2.
Tao, Chang-Lu, Yun-Tao Liu, Xiaowei Li, et al.. (2025). “Kiss-shrink-run” unifies mechanisms for synaptic vesicle exocytosis and hyperfast recycling. Science. 390(6770). eads7954–eads7954.
3.
Fu, Weihong, Xueying Wang, Cun‐Yu Wang, et al.. (2025). Multivalent interactions of Septin 6 promote the establishment of epithelial cell polarity. Journal of Molecular Cell Biology. 17(1). 3 indexed citations
4.
Liu, Yun-Tao & Chang-Lu Tao. (2022). Digitalizing neuronal synapses with cryo-electron tomography and correlative microscopy. Current Opinion in Neurobiology. 76. 102595–102595. 3 indexed citations
5.
Liu, Yun-Tao, et al.. (2022). Isotropic reconstruction for electron tomography with deep learning. Nature Communications. 13(1). 6482–6482. 173 indexed citations breakdown →
6.
Liu, Zhichao, Ying Zhu, Liming Zhang, et al.. (2022). Structural and functional imaging of brains. Science China Chemistry. 66(2). 324–366. 25 indexed citations
7.
Liu, Yun-Tao, Sakar Shivakoti, Fan Jia, et al.. (2020). Biphasic exocytosis of herpesvirus from hippocampal neurons and mechanistic implication to membrane fusion. Cell Discovery. 6(1). 2–2. 8 indexed citations
8.
Xu, Cheng, Lei Qi, Chang-Lu Tao, et al.. (2020). Structure and plasticity of silent synapses in developing hippocampal neurons visualized by super-resolution imaging. Cell Discovery. 6(1). 8–8. 19 indexed citations
9.
Liu, Yun-Tao, Chang-Lu Tao, Xiaokang Zhang, et al.. (2020). Mesophasic organization of GABAA receptors in hippocampal inhibitory synapses. Nature Neuroscience. 23(12). 1589–1596. 52 indexed citations
10.
Li, Xia, Liming Qin, Yefei Li, et al.. (2019). Presynaptic Endosomal Cathepsin D Regulates the Biogenesis of GABAergic Synaptic Vesicles. Cell Reports. 28(4). 1015–1028.e5. 20 indexed citations
11.
Liu, Yun-Tao, Chang-Lu Tao, Pak-Ming Lau, Zheng Zhou, & Guo‐Qiang Bi. (2019). Postsynaptic protein organization revealed by electron microscopy. Current Opinion in Structural Biology. 54. 152–160. 26 indexed citations
12.
Sun, Rong, Yun-Tao Liu, Chang-Lu Tao, et al.. (2019). An efficient protocol of cryo-correlative light and electron microscopy for the study of neuronal synapses. Biophysics Reports. 5(3). 111–122. 12 indexed citations
13.
Tao, Chang-Lu, Yun-Tao Liu, Rong Sun, et al.. (2018). Differentiation and Characterization of Excitatory and Inhibitory Synapses by Cryo-electron Tomography and Correlative Microscopy. Journal of Neuroscience. 38(6). 1493–1510. 118 indexed citations
14.
Tao, Chang-Lu, Yun-Tao Liu, Zikai Zhou, Pak-Ming Lau, & Guo‐Qiang Bi. (2018). Accumulation of Dense Core Vesicles in Hippocampal Synapses Following Chronic Inactivity. Frontiers in Neuroanatomy. 12. 48–48. 18 indexed citations
15.
Zhang, Jiayan, Sakar Shivakoti, Ivo Atanasov, et al.. (2018). Different functional states of fusion protein gB revealed on human cytomegalovirus by cryo electron tomography with Volta phase plate. PLoS Pathogens. 14(12). e1007452–e1007452. 79 indexed citations
16.
Miao, Qingqing, Zijuan Hai, Chang-Lu Tao, et al.. (2015). Bipyridine hydrogel for selective and visible detection and absorption of Cd2+. Nanoscale. 7(6). 2797–2804. 41 indexed citations
17.
Zhou, Hong, Chang-Lu Tao, Yun-Tao Liu, et al.. (2014). Cumulative effects of the ApoE genotype and gender on the synaptic proteome and oxidative stress in the mouse brain. The International Journal of Neuropsychopharmacology. 17(11). 1863–1879. 30 indexed citations
18.
Tao, Chang-Lu, et al.. (2012). Ultrastructural analysis of neuronal synapses using state-of-the-art nano-imaging techniques. Neuroscience Bulletin. 28(4). 321–332. 12 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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