Shigao Yang

1.4k total citations
36 papers, 1.1k citations indexed

About

Shigao Yang is a scholar working on Materials Chemistry, Physiology and Mechanical Engineering. According to data from OpenAlex, Shigao Yang has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 10 papers in Physiology and 10 papers in Mechanical Engineering. Recurrent topics in Shigao Yang's work include Solidification and crystal growth phenomena (13 papers), Alzheimer's disease research and treatments (10 papers) and Metallic Glasses and Amorphous Alloys (8 papers). Shigao Yang is often cited by papers focused on Solidification and crystal growth phenomena (13 papers), Alzheimer's disease research and treatments (10 papers) and Metallic Glasses and Amorphous Alloys (8 papers). Shigao Yang collaborates with scholars based in China, United States and Sweden. Shigao Yang's co-authors include Rui‐tian Liu, Min Zhao, B. Wei, Liang Hu, Xiaoxia Sun, Ying Feng, Xueting Du, Yujiong Wang, Xi Zhang and Lei Huang and has published in prestigious journals such as Journal of Biological Chemistry, Applied Physics Letters and PLoS ONE.

In The Last Decade

Shigao Yang

35 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shigao Yang China 17 422 271 225 211 190 36 1.1k
Yoshihiro Suwa Japan 18 116 0.3× 321 1.2× 378 1.7× 247 1.2× 60 0.3× 53 1.2k
Tian Xie China 10 223 0.5× 282 1.0× 133 0.6× 14 0.1× 114 0.6× 28 940
Chang Qu China 24 82 0.2× 666 2.5× 79 0.4× 12 0.1× 133 0.7× 67 1.6k
Refik Kayalı Türkiye 20 235 0.6× 443 1.6× 92 0.4× 25 0.1× 48 0.3× 60 1.3k
D.K. Das United States 15 151 0.4× 482 1.8× 74 0.3× 66 0.3× 34 0.2× 49 1.0k
Yu Zhou China 19 252 0.6× 349 1.3× 52 0.2× 21 0.1× 73 0.4× 111 1.2k
Yaru Huang China 15 256 0.6× 269 1.0× 129 0.6× 12 0.1× 78 0.4× 59 938
Xuan Ding China 20 150 0.4× 404 1.5× 79 0.4× 41 0.2× 76 0.4× 46 1.2k
Yuan Yue China 21 53 0.1× 385 1.4× 131 0.6× 20 0.1× 49 0.3× 43 1.1k

Countries citing papers authored by Shigao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shigao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shigao Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shigao Yang. A scholar is included among the top collaborators of Shigao Yang 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 Shigao Yang. Shigao Yang 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, Yinyin, Chunhua He, Bo Tian, et al.. (2025). Cross-Talk between NOK and EGFR: Juxtamembrane and Kinase domain interactions enhancing STAT3/5 signaling in breast cancer tumorigenesis. Translational Oncology. 52. 102276–102276.
2.
Liu, Jiayi, Qiang Cheng, Hao Wu, et al.. (2024). Quercetin-3-O-glc-1-3-rham-1-6-glucoside decreases Aβ production, inhibits Aβ aggregation and neurotoxicity, and prohibits the production of inflammatory cytokines. European Journal of Pharmacology. 970. 176491–176491. 3 indexed citations
3.
Liu, Sihan, Yanxia Fu, Kunrong Mei, et al.. (2020). A shedding soluble form of interleukin-17 receptor D exacerbates collagen-induced arthritis through facilitating TNF-α-dependent receptor clustering. Cellular and Molecular Immunology. 18(8). 1883–1895. 8 indexed citations
4.
Liang, Jie, Hsin-I Huang, Masashi Kanayama, et al.. (2020). The Ubiquitin-Modifying Enzyme A20 Terminates C-Type Lectin Receptor Signals and Is a Suppressor of Host Defense against Systemic Fungal Infection. Infection and Immunity. 88(9). 2 indexed citations
5.
Liu, Chunxiao, Yifan Zhou, Mengdi Li, et al.. (2019). Absence of GdX/UBL4A Protects against Inflammatory Diseases by Regulating NF-кB Signaling in Macrophages and Dendritic Cells. Theranostics. 9(5). 1369–1384. 24 indexed citations
6.
Hu, Liang, et al.. (2018). Liquid state property and intermetallic compound growth of Zr2Ni alloy investigated under electrostatic levitation condition. Chemical Physics Letters. 711. 227–230. 5 indexed citations
7.
Hu, Liang, et al.. (2016). Liquid Supercoolability and Synthesis Kinetics of Quinary Refractory High-entropy Alloy. Scientific Reports. 6(1). 37191–37191. 16 indexed citations
8.
Wang, Haipeng, Shigao Yang, Liang Hu, & B. Wei. (2016). Molecular dynamics prediction and experimental evidence for density of normal and metastable liquid zirconium. Chemical Physics Letters. 653. 112–116. 22 indexed citations
9.
10.
Wang, Shaowei, Shigao Yang, Peng‐xin Xu, et al.. (2015). Alpha-tocopherol quinine ameliorates spatial memory deficits by reducing beta-amyloid oligomers, neuroinflammation and oxidative stress in transgenic mice with Alzheimer's disease. Behavioural Brain Research. 296. 109–117. 52 indexed citations
11.
Yang, Shigao, Yinyin Wang, Kunrong Mei, et al.. (2014). Tumor Necrosis Factor Receptor 2 (TNFR2)·Interleukin-17 Receptor D (IL-17RD) Heteromerization Reveals a Novel Mechanism for NF-κB Activation. Journal of Biological Chemistry. 290(2). 861–871. 26 indexed citations
12.
Sun, Xiaojun, Yinyin Wang, Shigao Yang, et al.. (2013). Activation of TAK1 by Sef-S induces apoptosis in 293T cells. Cellular Signalling. 25(10). 2039–2046. 7 indexed citations
13.
Wang, Shaowei, Yujiong Wang, Yajing Su, et al.. (2012). Rutin inhibits β-amyloid aggregation and cytotoxicity, attenuates oxidative stress, and decreases the production of nitric oxide and proinflammatory cytokines. NeuroToxicology. 33(3). 482–490. 183 indexed citations
14.
Yang, Shigao, Shaowei Wang, Min Zhao, et al.. (2012). A Peptide Binding to the β-Site of APP Improves Spatial Memory and Attenuates Aβ Burden in Alzheimer’s Disease Transgenic Mice. PLoS ONE. 7(11). e48540–e48540. 10 indexed citations
15.
Zhang, Xi, Xiaoxia Sun, Di Xue, et al.. (2011). Conformation-dependent scFv antibodies specifically recognize the oligomers assembled from various amyloids and show colocalization of amyloid fibrils with oligomers in patients with amyloidoses. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1814(12). 1703–1712. 22 indexed citations
16.
Yang, Shigao, Xi Zhang, Tie-Jun Ling, et al.. (2010). Diverse Ecdysterones Show Different Effects on Amyloid-β42 Aggregation but All Uniformly Inhibit Amyloid-β42-Induced Cytotoxicity. Journal of Alzheimer s Disease. 22(1). 107–117. 11 indexed citations
17.
18.
Feng, Ying, Shigao Yang, Xueting Du, et al.. (2009). Ellagic acid promotes Aβ42 fibrillization and inhibits Aβ42-induced neurotoxicity. Biochemical and Biophysical Research Communications. 390(4). 1250–1254. 95 indexed citations
19.
Feng, Ying, Xiaoping Wang, Shigao Yang, et al.. (2009). Resveratrol inhibits beta-amyloid oligomeric cytotoxicity but does not prevent oligomer formation. NeuroToxicology. 30(6). 986–995. 244 indexed citations
20.

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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