Shunqi Wang

599 total citations
27 papers, 418 citations indexed

About

Shunqi Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Shunqi Wang has authored 27 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Oncology. Recurrent topics in Shunqi Wang's work include Muscle Physiology and Disorders (4 papers), Adipose Tissue and Metabolism (3 papers) and MicroRNA in disease regulation (2 papers). Shunqi Wang is often cited by papers focused on Muscle Physiology and Disorders (4 papers), Adipose Tissue and Metabolism (3 papers) and MicroRNA in disease regulation (2 papers). Shunqi Wang collaborates with scholars based in China and United States. Shunqi Wang's co-authors include Mark D. Rausher, Stacey D. Smith, Suqi Zou, Erkang Fei, Xinsheng Lai, Jun‐Bing Fan, Rui Guo, Zhi‐Zhu He, Wei Rao and Mianqi Xue and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Human Molecular Genetics.

In The Last Decade

Shunqi Wang

27 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shunqi Wang China 12 185 70 52 48 37 27 418
Tomoaki Kato Japan 16 311 1.7× 46 0.7× 40 0.8× 48 1.0× 34 0.9× 39 669
Keiichi Miyamoto Japan 18 153 0.8× 98 1.4× 72 1.4× 20 0.4× 23 0.6× 92 963
Yusuke Kubo Germany 11 145 0.8× 86 1.2× 39 0.8× 35 0.7× 15 0.4× 25 404
Masahiro Matsumoto Japan 17 243 1.3× 76 1.1× 87 1.7× 15 0.3× 35 0.9× 70 993
Takuya Kaneko Japan 10 102 0.6× 71 1.0× 72 1.4× 75 1.6× 9 0.2× 26 432
Chie Sato Japan 12 99 0.5× 194 2.8× 77 1.5× 51 1.1× 20 0.5× 25 454
Yao Tian China 13 123 0.7× 100 1.4× 133 2.6× 19 0.4× 26 0.7× 48 549
Ming Jin China 14 218 1.2× 36 0.5× 21 0.4× 38 0.8× 11 0.3× 37 547
Bingying Wang China 10 104 0.6× 44 0.6× 24 0.5× 37 0.8× 21 0.6× 51 418

Countries citing papers authored by Shunqi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shunqi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunqi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shunqi Wang. A scholar is included among the top collaborators of Shunqi 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 Shunqi Wang. Shunqi 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, Shunqi, et al.. (2025). Balancing Microglial Density and Activation in Central Nervous System Development and Disease. Current Issues in Molecular Biology. 47(5). 344–344. 4 indexed citations
2.
Chen, Jie, Hong Chen, Min Yan, et al.. (2024). Deficiency of skeletal muscle Agrin contributes to the pathogenesis of age-related sarcopenia in mice. Cell Death and Disease. 15(3). 201–201. 10 indexed citations
3.
Wang, Yukai, et al.. (2023). A Novel Form of Neuregulin 1 Type III Caused by N-Terminal Processing. Biomolecules. 13(12). 1756–1756. 1 indexed citations
4.
Li, Mengyuan, Lili Wang, Feng Xu, et al.. (2023). Chemical profiling of Sanjin tablets and exploration of their effective substances and mechanism in the treatment of urinary tract infections. Frontiers in Chemistry. 11. 1179956–1179956. 2 indexed citations
5.
Lai, Xinsheng, et al.. (2023). The role of Rapsyn in neuromuscular junction and congenital myasthenic syndrome. SHILAP Revista de lepidopterología. 23(5). 772–784. 5 indexed citations
6.
Yan, Min, Yongqiang Wu, Lin Dong, et al.. (2022). LRP4 is required for the olfactory association task in the piriform cortex. Cell & Bioscience. 12(1). 54–54. 6 indexed citations
7.
Wang, Shunqi, et al.. (2022). A Glance at the Molecules That Regulate Oligodendrocyte Myelination. Current Issues in Molecular Biology. 44(5). 2194–2216. 14 indexed citations
8.
Chen, Peng, Hongyang Jing, Qian Zhang, et al.. (2021). Spine impairment in mice high-expressing neuregulin 1 due to LIMK1 activation. Cell Death and Disease. 12(4). 403–403. 26 indexed citations
9.
Zheng, Yu, et al.. (2021). Metformin Increases Sarcolemma Integrity and Ameliorates Neuromuscular Deficits in a Murine Model of Duchenne Muscular Dystrophy. Frontiers in Physiology. 12. 642908–642908. 22 indexed citations
10.
Jing, Hongyang, Peng Chen, Yu Zheng, et al.. (2021). Synapse-specific Lrp4 mRNA enrichment requires Lrp4/MuSK signaling, muscle activity and Wnt non-canonical pathway. Cell & Bioscience. 11(1). 105–105. 9 indexed citations
11.
Yu, Jianbo, Yongqiang Wu, Xinsheng Lai, et al.. (2021). The Candidate Schizophrenia Risk Gene Tmem108 Regulates Glucose Metabolism Homeostasis. Frontiers in Endocrinology. 12. 770145–770145. 8 indexed citations
12.
Jing, Hongyang, Tian Zhou, Peng Chen, et al.. (2021). Increasing LRP4 diminishes neuromuscular deficits in a mouse model of Duchenne muscular dystrophy. Human Molecular Genetics. 30(17). 1579–1590. 12 indexed citations
13.
Chen, Peng, Ziyang Liu, Qian Zhang, et al.. (2021). DSCAM Deficiency Leads to Premature Spine Maturation and Autism-like Behaviors. Journal of Neuroscience. 42(4). 532–551. 23 indexed citations
14.
Yan, Min, Peng Chen, Hongyang Jing, et al.. (2020). LRP4 LDLα repeats of astrocyte enhance dendrite arborization of the neuron. Molecular Brain. 13(1). 166–166. 5 indexed citations
15.
Zhang, Pengju, Qian Wang, Rui Guo, et al.. (2019). Self-assembled ultrathin film of CNC/PVA–liquid metal composite as a multifunctional Janus material. Materials Horizons. 6(8). 1643–1653. 88 indexed citations
16.
Zheng, Yu, Lin Dong, Bin Luo, et al.. (2019). Transmembrane protein 108 involves in adult neurogenesis in the hippocampal dentate gyrus. Cell & Bioscience. 9(1). 9–9. 21 indexed citations
17.
Zeng, Zhen, et al.. (2018). The Cutting and Floating Method for Paraffin-embedded Tissue for Sectioning. Journal of Visualized Experiments. 13 indexed citations
18.
Wang, Hui, Qiang Yu, Shaoping Nie, et al.. (2017). Polysaccharide purified from Ganoderma atrum induced activation and maturation of murine myeloid-derived dendritic cells. Food and Chemical Toxicology. 108(Pt B). 478–485. 26 indexed citations
19.
Smith, Stacey D., Shunqi Wang, & Mark D. Rausher. (2012). Functional Evolution of an Anthocyanin Pathway Enzyme during a Flower Color Transition. Molecular Biology and Evolution. 30(3). 602–612. 62 indexed citations
20.
Bian, Liping, Wei Liang, Jian Ma, et al.. (2010). Effect of ECAP on the microstructure and mechanical properties of a high-Mg2Si content Al-Mg-Si alloy. Journal of Wuhan University of Technology-Mater Sci Ed. 25(3). 395–398. 2 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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