Chuang Wang

4.8k total citations · 2 hit papers
126 papers, 3.6k citations indexed

About

Chuang Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Chuang Wang has authored 126 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 29 papers in Cellular and Molecular Neuroscience and 29 papers in Physiology. Recurrent topics in Chuang Wang's work include Tryptophan and brain disorders (24 papers), Alzheimer's disease research and treatments (19 papers) and Neuroscience and Neuropharmacology Research (14 papers). Chuang Wang is often cited by papers focused on Tryptophan and brain disorders (24 papers), Alzheimer's disease research and treatments (19 papers) and Neuroscience and Neuropharmacology Research (14 papers). Chuang Wang collaborates with scholars based in China, United States and Hong Kong. Chuang Wang's co-authors include Wenhua Zhou, Qinwen Wang, Jiangping Xu, Fu‐Meng Wang, Ling‐Dong Kong, Ying Pan, Ying Xu, Han‐Ting Zhang, Yufang Cheng and Chenli Li and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Chuang Wang

123 papers receiving 3.6k citations

Hit Papers

Hypoxia-pretreated ADSC-derived exosome-embedded hydrogel... 2022 2026 2023 2024 2022 2023 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
Chuang Wang China 33 1.6k 674 642 542 475 126 3.6k
Jiangping Xu China 36 2.0k 1.3× 601 0.9× 421 0.7× 781 1.4× 609 1.3× 125 3.8k
José A. Sánchez‐Alcázar Spain 42 3.1k 2.0× 678 1.0× 578 0.9× 283 0.5× 257 0.5× 133 5.0k
Yong Cheng China 38 1.8k 1.2× 738 1.1× 630 1.0× 228 0.4× 841 1.8× 200 5.1k
Shupeng Li China 33 1.3k 0.8× 487 0.7× 628 1.0× 221 0.4× 659 1.4× 134 3.2k
Jin‐Fang Ge China 33 1.1k 0.7× 550 0.8× 459 0.7× 194 0.4× 242 0.5× 89 2.8k
Gong‐Ping Liu China 37 1.4k 0.9× 1.5k 2.2× 386 0.6× 370 0.7× 537 1.1× 89 3.8k
Carla I. Tasca Brazil 36 1.5k 0.9× 743 1.1× 767 1.2× 378 0.7× 1.5k 3.2× 151 4.5k
Arubala P. Reddy United States 33 2.3k 1.5× 1.9k 2.9× 378 0.6× 542 1.0× 765 1.6× 100 4.7k
Guoqi Zhu China 32 1.6k 1.0× 485 0.7× 346 0.5× 233 0.4× 758 1.6× 94 3.3k
Concetta Crisafulli Italy 34 1.2k 0.7× 449 0.7× 288 0.4× 401 0.7× 388 0.8× 140 3.5k

Countries citing papers authored by Chuang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chuang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chuang Wang. A scholar is included among the top collaborators of Chuang Wang 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 Chuang Wang. Chuang Wang 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, Chuang, et al.. (2025). Photoelectrocatalytic hydrogen evolution combined with organic waste water treatment by red mud derived catalysts. Journal of Power Sources. 661. 238600–238600. 3 indexed citations
2.
Zhang, Boyang, Kai-Yue Zhang, Qiuyue Liu, et al.. (2025). Innervated Biomaterials for Improved Cutaneous Wound Healing: A Review of Recent Advancements and Future Prospects. International Journal of Nanomedicine. Volume 20. 7829–7849.
3.
4.
Wang, Chuang, Xingxing Cheng, Kai Luo, et al.. (2025). A guided review of machine learning in the design and application for pore nanoarchitectonics of carbon materials. Materials Science and Engineering R Reports. 165. 101010–101010. 19 indexed citations
5.
Huang, Fengjuan, Xiaohan Zhang, Jiangfang Lian, et al.. (2024). Computational insights into the aggregation mechanism and amyloidogenic core of aortic amyloid medin polypeptide. Colloids and Surfaces B Biointerfaces. 244. 114192–114192. 4 indexed citations
6.
Tang, Tao, Linyi Chen, Ming Zhang, et al.. (2024). Exosomes derived from BMSCs enhance diabetic wound healing through circ-Snhg11 delivery. Diabetology & Metabolic Syndrome. 16(1). 37–37. 15 indexed citations
7.
Huang, Fengjuan, et al.. (2023). SEVI Inhibits Aβ Amyloid Aggregation by Capping the β-Sheet Elongation Edges. Journal of Chemical Information and Modeling. 63(11). 3567–3578. 18 indexed citations
8.
Huang, Fengjuan, et al.. (2023). Dissecting the Self-assembly Dynamics of Imperfect Repeats in α-Synuclein. Journal of Chemical Information and Modeling. 63(11). 3591–3600. 16 indexed citations
9.
Huang, Fengjuan, Chuang Wang, Yu Zou, et al.. (2023). Unveiling Medin Folding and Dimerization Dynamics and Conformations via Atomistic Discrete Molecular Dynamics Simulations. Journal of Chemical Information and Modeling. 63(20). 6376–6385. 7 indexed citations
10.
Li, Shiwu, Yifan Li, Rui Chen, et al.. (2022). The schizophrenia-associated missense variant rs13107325 regulates dendritic spine density. Translational Psychiatry. 12(1). 361–361. 7 indexed citations
11.
Lv, Dan, et al.. (2022). ERK/mTOR signaling may underlying the antidepressant actions of rapastinel in mice. Translational Psychiatry. 12(1). 522–522. 15 indexed citations
12.
Li, Xingxing, Dongsheng Zhou, Zan Chen, et al.. (2020). Reduced serum VGF levels are linked with suicide risk in Chinese Han patients with major depressive disorder. BMC Psychiatry. 20(1). 225–225. 13 indexed citations
13.
Lv, Dan, Yaping Chen, Xu Liu, et al.. (2018). Mechanisms underlying the rapid-acting antidepressant-like effects of neuropeptide VGF (non-acronymic) C-terminal peptide TLQP-62. Neuropharmacology. 143. 317–326. 13 indexed citations
14.
Lv, Dan, et al.. (2018). Positive Allosteric Modulation of AMPAR by PF-4778574 Produced Rapid Onset Antidepressant Actions in Mice. Cerebral Cortex. 29(10). 4438–4451. 7 indexed citations
16.
Chen, Xiaowei, Yu Wang, Xiaofei Wei, et al.. (2017). The Rapid Effect of Bisphenol-A on Long-Term Potentiation in Hippocampus Involves Estrogen Receptors and ERK Activation. Neural Plasticity. 2017. 1–9. 19 indexed citations
17.
18.
Li, Chenli, Mengmeng Li, Jinting Wang, et al.. (2017). Neuropeptide VGF C-Terminal Peptide TLQP-62 Alleviates Lipopolysaccharide-Induced Memory Deficits and Anxiety-like and Depression-like Behaviors in Mice: The Role of BDNF/TrkB Signaling. ACS Chemical Neuroscience. 8(9). 2005–2018. 34 indexed citations
19.
Zhang, Chong, Lina Ruan, Chuang Wang, et al.. (2014). The Roles of Phosphodiesterase 2 in the Central Nervous and Peripheral Systems. Current Pharmaceutical Design. 21(3). 274–290. 29 indexed citations
20.
Wang, Wei, Chuang Wang, Xiaoqin Ding, et al.. (2013). Quercetin and allopurinol reduce liver thioredoxin‐interacting protein to alleviate inflammation and lipid accumulation in diabetic rats. British Journal of Pharmacology. 169(6). 1352–1371. 161 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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