Shu Wang

1.7k total citations
55 papers, 837 citations indexed

About

Shu Wang is a scholar working on Immunology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Shu Wang has authored 55 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 16 papers in Molecular Biology and 12 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Shu Wang's work include Immune Cell Function and Interaction (8 papers), Thyroid Disorders and Treatments (6 papers) and Ophthalmology and Eye Disorders (5 papers). Shu Wang is often cited by papers focused on Immune Cell Function and Interaction (8 papers), Thyroid Disorders and Treatments (6 papers) and Ophthalmology and Eye Disorders (5 papers). Shu Wang collaborates with scholars based in China, United States and South Korea. Shu Wang's co-authors include Jingya Wang, Elisaveta Voynova, Jodi L. Karnell, Varsha Kumar, Rachel Ettinger, Liping Yang, Hongtao Liu, Guang Ning, Guang Ning and Bin Cui and has published in prestigious journals such as The Lancet, Blood and The Journal of Immunology.

In The Last Decade

Shu Wang

50 papers receiving 816 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 17 321 254 120 116 112 55 837
Jiatian Cao China 17 470 1.5× 232 0.9× 143 1.2× 65 0.6× 57 0.5× 24 975
Ahmed Shoieb United States 12 207 0.6× 124 0.5× 88 0.7× 93 0.8× 37 0.3× 31 751
Jingyi Chen China 17 287 0.9× 108 0.4× 102 0.8× 117 1.0× 49 0.4× 64 906
Cheng Zeng China 5 402 1.3× 190 0.7× 191 1.6× 74 0.6× 29 0.3× 11 1.0k
Varvara A. Orekhova Russia 13 337 1.0× 250 1.0× 96 0.8× 37 0.3× 56 0.5× 32 791
Tingting Long China 18 350 1.1× 157 0.6× 114 0.9× 46 0.4× 69 0.6× 56 988
Qinggao Zhang China 20 404 1.3× 243 1.0× 73 0.6× 71 0.6× 27 0.2× 51 919
Yizi Jin China 8 328 1.0× 181 0.7× 142 1.2× 57 0.5× 29 0.3× 18 951

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
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Irvine, Edward B., Patricia A. Darrah, Shu Wang, et al.. (2024). Humoral correlates of protection against Mycobacterium tuberculosis following intravenous BCG vaccination in rhesus macaques. iScience. 27(12). 111128–111128. 5 indexed citations
4.
Wang, Shu, Amy Myers, Edward B. Irvine, et al.. (2024). Markov field network model of multi-modal data predicts effects of immune system perturbations on intravenous BCG vaccination in macaques. Cell Systems. 15(12). 1278–1294.e4. 1 indexed citations
5.
Wang, Shu & Yuefeng Chen. (2022). Deoxyelephantopin alleviates lipopolysaccharide-induced septic lung injury through inhibiting NF-ĸB/STAT3 axis. Allergologia et Immunopathologia. 50(5). 39–46. 3 indexed citations
6.
Wang, Shu, Xibing Zhuang, Caixia Gao, & Tiankui Qiao. (2021). Expression of p16, p53, and TLR9 in HPV-Associated Head and Neck Squamous Cell Carcinoma: Clinicopathological Correlations and Potential Prognostic Significance. OncoTargets and Therapy. Volume 14. 867–877. 8 indexed citations
7.
Zhou, Yulin, Mengxi Zhou, Yicheng Qi, et al.. (2021). The prognostic value of thyroid-stimulating immunoglobulin in the management of Graves’ disease. Therapeutic Advances in Endocrinology and Metabolism. 12. 2425414223–2425414223. 8 indexed citations
8.
Chen, Xinxin, Yanqiu Wang, Yicheng Qi, et al.. (2021). Expansion of inflammatory monocytes in periphery and infiltrated into thyroid tissue in Graves’ disease. Scientific Reports. 11(1). 13443–13443. 7 indexed citations
9.
Zhou, Mengxi, Liyun Shen, Jiao Qin, et al.. (2019). Role of Magnetic Resonance Imaging in the Assessment of Active Thyroid-Associated Ophthalmopathy Patients with Long Disease Duration. Endocrine Practice. 25(12). 1268–1278. 13 indexed citations
10.
Wang, Shu, Yanan Jiang, Jing‐Ling Chen, et al.. (2018). Activation of M3 Muscarinic Acetylcholine Receptors Delayed Cardiac Aging by Inhibiting the Caspase-1/IL-1β Signaling Pathway. Cellular Physiology and Biochemistry. 49(3). 1249–1257. 12 indexed citations
11.
Yu, Zhihong, Meng Wang, Shu Wang, et al.. (2017). Blockage of glycolysis by targeting PFKFB3 alleviates sepsis-related acute lung injury via suppressing inflammation and apoptosis of alveolar epithelial cells. Biochemical and Biophysical Research Communications. 491(2). 522–529. 70 indexed citations
12.
Liu, Hongyan, Huan Lei, Jie Yin, et al.. (2016). Role of microRNA-130a in myocardial hypoxia/reoxygenation injury. Experimental and Therapeutic Medicine. 13(2). 759–765. 17 indexed citations
13.
Sela, Uri, Chae Gyu Park, Andrew Park, et al.. (2016). Dendritic Cells Induce a Subpopulation of IL-12Rβ2-Expressing Treg that Specifically Consumes IL-12 to Control Th1 Responses. PLoS ONE. 11(1). e0146412–e0146412. 16 indexed citations
14.
Wang, Shu, Yun Li, Xiaoli Wu, et al.. (2010). Construction of uniformly sized pseudo template imprinted polymers coupled with HPLC–UV for the selective extraction and determination of trace estrogens in chicken tissue samples. Journal of Hazardous Materials. 186(2-3). 1513–1519. 39 indexed citations
15.
Jiang, Lingxi, Litao Yang, Jun Rao, et al.. (2009). Development and in‐house validation of the event‐specific qualitative and quantitative PCR detection methods for genetically modified cotton MON15985. Journal of the Science of Food and Agriculture. 90(3). 402–408. 11 indexed citations
16.
Wang, Shu. (2008). Effect of acupuncture and construction of differential expression map of hippocamp proteome in rats with focal cerebral ischemia. Tianjin Journal of Traditional Chinese Medicine. 1 indexed citations
17.
Dong, Jun, Wenxiang Chen, Shu Wang, et al.. (2007). Jones oxidation and high performance liquid chromatographic analysis of cholesterol in biological samples. Journal of Chromatography B. 858(1-2). 239–246. 24 indexed citations
18.
Cui, Bin, Haoyan Chen, Shu Wang, et al.. (2007). The A946T polymorphism in the interferon induced helicase gene does not confer susceptibility to Graves’ disease in Chinese population. Endocrine. 32(2). 143–147. 17 indexed citations
19.
Wang, Shu, Hua Sun, Haoyan Chen, et al.. (2007). Intercellular adhesion molecule 1 gene polymorphisms do not contribute to Graves’ disease in Chinese patients. Endocrine. 31(2). 114–118. 6 indexed citations
20.
Liu, Junda, et al.. (1997). The monitoring biomarker for immune function of lymphocytes in the elderly. Mechanisms of Ageing and Development. 94(1-3). 177–182. 15 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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