Chengbiao Wu

8.4k total citations
80 papers, 4.3k citations indexed

About

Chengbiao Wu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Chengbiao Wu has authored 80 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Cellular and Molecular Neuroscience, 39 papers in Molecular Biology and 26 papers in Physiology. Recurrent topics in Chengbiao Wu's work include Nerve injury and regeneration (26 papers), Alzheimer's disease research and treatments (18 papers) and Cellular transport and secretion (18 papers). Chengbiao Wu is often cited by papers focused on Nerve injury and regeneration (26 papers), Alzheimer's disease research and treatments (18 papers) and Cellular transport and secretion (18 papers). Chengbiao Wu collaborates with scholars based in United States, China and United Kingdom. Chengbiao Wu's co-authors include William C. Mobley, April M. Weissmiller, Jean‐Dominique Delcroix, J Valletta, Bianxiao Cui, Anthony S. Kowal, Stephen J. Hunt, Jianqing Ding, Liang Chen and Richard G.W. Anderson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Chengbiao Wu

73 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengbiao Wu United States 32 2.1k 1.6k 1.2k 1.1k 374 80 4.3k
Bonnie L. Firestein United States 44 2.9k 1.4× 2.1k 1.3× 1.3k 1.1× 642 0.6× 445 1.2× 115 6.0k
Nozomu Mori Japan 42 4.1k 2.0× 1.3k 0.8× 819 0.7× 878 0.8× 393 1.1× 214 6.8k
Marieangela C. Wilson United Kingdom 35 3.3k 1.6× 1.2k 0.8× 1.3k 1.0× 1.1k 1.1× 159 0.4× 72 5.7k
Lucia Notterpek United States 36 1.6k 0.8× 1.8k 1.1× 722 0.6× 822 0.8× 346 0.9× 76 4.1k
Marko Kreft Slovenia 40 2.6k 1.3× 1.6k 1.0× 1.3k 1.1× 865 0.8× 278 0.7× 146 4.6k
Mónica Mendes Sousa Portugal 40 2.2k 1.1× 805 0.5× 1000 0.8× 962 0.9× 281 0.8× 88 4.2k
Tracy L. Young‐Pearse United States 35 2.8k 1.3× 1.0k 0.6× 432 0.4× 1.5k 1.4× 364 1.0× 82 4.4k
Hitoshi Okazawa Japan 34 3.1k 1.5× 1.4k 0.8× 364 0.3× 615 0.6× 189 0.5× 116 4.5k
Mahmood Amiry‐Moghaddam Norway 35 4.3k 2.1× 2.1k 1.3× 512 0.4× 809 0.8× 485 1.3× 80 7.1k

Countries citing papers authored by Chengbiao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chengbiao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengbiao Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chengbiao Wu. A scholar is included among the top collaborators of Chengbiao 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 Chengbiao Wu. Chengbiao 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.
Sung, Kijung, et al.. (2025). Biophysical characterization of TREM2 missense variants implicated in neurodegenerative disease. Computational and Structural Biotechnology Journal. 27. 2990–3004.
2.
Sung, Kijung, et al.. (2025). Predicting the impact of missense mutations on an unresolved protein’s stability, structure, and function: A case study of Alzheimer’s disease-associated TREM2 R47H variant. Computational and Structural Biotechnology Journal. 27. 564–574. 4 indexed citations
3.
Sung, Kijung, et al.. (2024). Brain-derived neurotrophic factor plays with TRiC: focus on synaptic dysfunction in Huntington’s disease. Neural Regeneration Research. 20(10). 2919–2920.
4.
Spencer, Brian, Floyd Sarsoza, Jennifer Ngolab, et al.. (2023). Hippocampal Reduction of α-Synuclein via RNA Interference Improves Neuropathology in Alzheimer’s Disease Mice. Journal of Alzheimer s Disease. 95(1). 349–361.
5.
6.
Spencer, Brian, et al.. (2023). Novel systemic delivery of a peptide-conjugated antisense oligonucleotide to reduce α-synuclein in a mouse model of Alzheimer's disease. Neurobiology of Disease. 186. 106285–106285. 5 indexed citations
7.
Guerra, Flora, Kijung Sung, Wanlin Yang, et al.. (2022). Mitochondria dysfunction in Charcot Marie Tooth 2B Peripheral Sensory Neuropathy. Communications Biology. 5(1). 717–717. 14 indexed citations
8.
Shen, Ruinan, et al.. (2022). Ras and Rab Interactor 3: From Cellular Mechanisms to Human Diseases. Frontiers in Cell and Developmental Biology. 10. 824961–824961. 7 indexed citations
9.
Shen, Ruinan, Xiaobei Zhao, Lu He, et al.. (2020). Upregulation of RIN3 induces endosomal dysfunction in Alzheimer’s disease. Translational Neurodegeneration. 9(1). 26–26. 46 indexed citations
10.
Moya‐Alvarado, Guillermo, Michael T. Maloney, Chengbiao Wu, et al.. (2019). c-Jun N-terminal kinase (JNK)-dependent internalization and Rab5-dependent endocytic sorting mediate long-distance retrograde neuronal death induced by axonal BDNF-p75 signaling. Scientific Reports. 9(1). 6070–6070. 19 indexed citations
11.
Flowers, Sarah A., et al.. (2019). Histone deacetylase 6 inhibition rescues axonal transport impairments and prevents the neurotoxicity of HIV-1 envelope protein gp120. Cell Death and Disease. 10(9). 674–674. 27 indexed citations
12.
Sung, Kijung, Luiz F. Ferrari, Wanlin Yang, et al.. (2018). Swedish Nerve Growth Factor Mutation (NGF R100W ) Defines a Role for TrkA and p75 NTR in Nociception. Journal of Neuroscience. 38(14). 3394–3413. 30 indexed citations
13.
Xu, Wei, Fang Fang, Jianqing Ding, & Chengbiao Wu. (2018). Dysregulation of Rab5‐mediated endocytic pathways in Alzheimer's disease. Traffic. 19(4). 253–262. 55 indexed citations
14.
Mo, Zhongying, Xiaobei Zhao, Huaqing Liu, et al.. (2018). Aberrant GlyRS-HDAC6 interaction linked to axonal transport deficits in Charcot-Marie-Tooth neuropathy. Nature Communications. 9(1). 1007–1007. 90 indexed citations
15.
Chen, Xu‐Qiao, Fang Fang, Jazmin Florio, et al.. (2018). T‐complex protein 1‐ring complex enhances retrograde axonal transport by modulating tau phosphorylation. Traffic. 19(11). 840–853. 21 indexed citations
16.
Fang, Fang, Wanlin Yang, Jazmin Florio, et al.. (2017). Synuclein impairs trafficking and signaling of BDNF in a mouse model of Parkinson’s disease. Scientific Reports. 7(1). 3868–3868. 68 indexed citations
17.
Ding, Zhiyong, Péter Germán, Shanshan Bai, et al.. (2014). Genetic and Pharmacological Strategies to Refunctionalize the von Hippel Lindau R167Q Mutant Protein. Cancer Research. 74(11). 3127–3136. 22 indexed citations
18.
Weissmiller, April M. & Chengbiao Wu. (2012). Current advances in using neurotrophic factors to treat neurodegenerative disorders. Translational Neurodegeneration. 1(1). 14–14. 168 indexed citations
19.
Wan, Jun, Anthony Y. Cheung, Wing-Yu Fu, et al.. (2008). Endophilin B1 as a Novel Regulator of Nerve Growth Factor/ TrkA Trafficking and Neurite Outgrowth. Journal of Neuroscience. 28(36). 9002–9012. 51 indexed citations
20.
Sharma, Manju, et al.. (2002). A Novel Zinc Finger Transcription Factor with Two Isoforms That Are Differentially Repressed by Estrogen Receptor-α. Journal of Biological Chemistry. 277(11). 9326–9334. 24 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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