Shu Wang

1.8k total citations
45 papers, 1.3k citations indexed

About

Shu Wang is a scholar working on Molecular Biology, Cancer Research and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Shu Wang has authored 45 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Cancer Research and 12 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Shu Wang's work include Thyroid Cancer Diagnosis and Treatment (6 papers), MicroRNA in disease regulation (5 papers) and Thyroid Disorders and Treatments (4 papers). Shu Wang is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (6 papers), MicroRNA in disease regulation (5 papers) and Thyroid Disorders and Treatments (4 papers). Shu Wang collaborates with scholars based in China, United States and Singapore. Shu Wang's co-authors include Guang Ning, Haibao Zhu, Cia‐Hin Lau, Felix Chang Tay, Alice H. Lichtenstein, Xiaohua Jiang, Lei Ye, Yichuan Xiao, Yi Zhang and Hua Guo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Shu Wang

43 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shu Wang China 19 496 424 244 197 185 45 1.3k
Gang Ren China 17 686 1.4× 214 0.5× 412 1.7× 287 1.5× 121 0.7× 51 1.4k
Xiubin Liang China 22 855 1.7× 156 0.4× 255 1.0× 127 0.6× 84 0.5× 62 1.5k
Yumi Takiyama Japan 21 584 1.2× 425 1.0× 251 1.0× 151 0.8× 63 0.3× 48 1.4k
Artiom Gruzdev United States 23 348 0.7× 291 0.7× 76 0.3× 147 0.7× 183 1.0× 55 1.2k
Kazushige Adachi Japan 14 567 1.1× 223 0.5× 105 0.4× 131 0.7× 139 0.8× 33 1.3k
Francesca Mercuri Australia 16 329 0.7× 305 0.7× 145 0.6× 130 0.7× 52 0.3× 25 1.1k
Anna Meseguer Spain 22 680 1.4× 241 0.6× 92 0.4× 112 0.6× 87 0.5× 76 1.3k
Minh Bui United States 19 643 1.3× 420 1.0× 93 0.4× 95 0.5× 89 0.5× 30 1.6k
Min Zeng China 18 365 0.7× 197 0.5× 106 0.4× 73 0.4× 167 0.9× 62 1.1k
James P. Stice United States 15 619 1.2× 125 0.3× 98 0.4× 107 0.5× 104 0.6× 20 1.1k

Countries citing papers authored by Shu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Wang. A scholar is included among the top collaborators of Shu 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 Shu Wang. Shu 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
2.
Wang, Shu, Hui Wang, Rong Chen, et al.. (2024). Necroptosis in Pneumonia: Therapeutic Strategies and Future Perspectives. Viruses. 16(1). 94–94. 4 indexed citations
3.
Liu, Ziyuan, Wei Zhou, Jie Zhang, et al.. (2021). Cytology versus calcitonin assay in fine-needle aspiration biopsy wash-out fluid (FNAB-CT) in diagnosis of medullary thyroid microcarcinoma. Endocrine. 74(2). 340–348. 7 indexed citations
4.
Shen, Liyun, Jie Zhang, Jing Xie, et al.. (2020). Diagnosing Thyrotropin-Secreting Pituitary Adenomas by Short-Term Somatostatin Analogue Test. Thyroid. 30(9). 1236–1244. 17 indexed citations
5.
Hu, Yi, Ting Zhang, Yizhong Wang, et al.. (2019). Allergic Comorbidity of Asthma or Wheezing, Allergic Rhinitis, and Eczema: Result From 333 029 Allergic Children in Shanghai, China. American Journal of Rhinology and Allergy. 34(2). 189–195. 2 indexed citations
6.
Chen, Xinxin, Fengjiao Huang, Yicheng Qi, et al.. (2018). Serum and thyroid tissue level of let-7b and their correlation with TRAb in Graves’ disease. Journal of Translational Medicine. 16(1). 188–188. 9 indexed citations
7.
Sun, Zhongwu, et al.. (2017). Regulatory effects of miR‐146a/b on the function of endothelial progenitor cells in acute ischemic stroke in mice. The Kaohsiung Journal of Medical Sciences. 33(8). 369–378. 32 indexed citations
8.
Zhou, Jun, Ming Zhang, Shu Wang, et al.. (2016). Association of the ADIPOQ Rs2241766 and Rs266729 Polymorphisms with Metabolic Syndrome in the Chinese Population: A Meta-analysis.. PubMed. 29(7). 505–15. 24 indexed citations
9.
Chen, Juan, Yang Zhuang, Zhifeng Zhang, et al.. (2016). Glycine confers neuroprotection through microRNA-301a/PTEN signaling. Molecular Brain. 9(1). 59–59. 23 indexed citations
10.
Huang, Fengjiao, Xiaoyi Zhou, Lei Ye, et al.. (2016). Follicular thyroid carcinoma but not adenoma recruits tumor-associated macrophages by releasing CCL15. BMC Cancer. 16(1). 98–98. 16 indexed citations
11.
Zhang, Lijiao, Jie Zeng, Siming Wang, et al.. (2015). Matrix effects of the processed materials in high-density lipoprotein cholesterol measurement. Zhonghua jianyan yixue zazhi. 38(11). 737–741. 1 indexed citations
12.
Ye, Lei, Wei Zhu, Liyun Shen, et al.. (2015). Smoking was associated with poor response to intravenous steroids therapy in Graves’ ophthalmopathy. British Journal of Ophthalmology. 99(12). 1686–1691. 34 indexed citations
13.
Tay, Felix Chang, et al.. (2014). Using artificial microRNA sponges to achieve microRNA loss-of-function in cancer cells. Advanced Drug Delivery Reviews. 81. 117–127. 119 indexed citations
14.
Lin, Xin, Ting Zhao, Lilin Wang, et al.. (2013). miR-200s Contribute to Interleukin-6 (IL-6)-induced Insulin Resistance in Hepatocytes. Journal of Biological Chemistry. 288(31). 22596–22606. 62 indexed citations
15.
Qi, Yicheng, Fengjiao Huang, Hua Guo, et al.. (2013). Chemokine (C-C Motif) Ligand 20, a Potential Biomarker for Graves' Disease, Is Regulated by Osteopontin. PLoS ONE. 8(5). e64277–e64277. 20 indexed citations
16.
Wang, Shu, Chaoming Mao, Qiaoli Gu, et al.. (2009). Increased TTS abrogates IDO-mediated CD4+ T cells suppression in patients with Graves’ disease. Endocrine. 36(1). 119–125. 16 indexed citations
17.
Zhang, Minmin, et al.. (2009). Effects of sodium valproate on synaptic transmission and neuronal excitability in rat hippocampus. Clinical and Experimental Pharmacology and Physiology. 36(11). 1062–1067. 2 indexed citations
18.
Sun, Hua, Xufeng Jiang, Shu Wang, et al.. (2007). 99mTc-HYNIC-TOC scintigraphy in evaluation of active Graves’ ophthalmopathy (GO). Endocrine. 31(3). 305–310. 12 indexed citations
19.
Yan, Jingbin, Shu Wang, Wenying Huang, et al.. (2006). Transgenic Mice Can Express Mutant Human Coagulation Factor IX with Higher Level of Clotting Activity. Biochemical Genetics. 44(7-8). 347–358. 5 indexed citations
20.
Dorfman, Suzanne E., Shu Wang, Sonia Vega‐López, Matti Jauhiainen, & Alice H. Lichtenstein. (2005). Dietary Fatty Acids and Cholesterol Differentially Modulate HDL Cholesterol Metabolism in Golden-Syrian Hamsters,. Journal of Nutrition. 135(3). 492–498. 53 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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