Shuxia Wang

736 total citations
24 papers, 347 citations indexed

About

Shuxia Wang is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Shuxia Wang has authored 24 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 6 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in Shuxia Wang's work include Atherosclerosis and Cardiovascular Diseases (4 papers), Cardiovascular Function and Risk Factors (3 papers) and Blood Pressure and Hypertension Studies (3 papers). Shuxia Wang is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (4 papers), Cardiovascular Function and Risk Factors (3 papers) and Blood Pressure and Hypertension Studies (3 papers). Shuxia Wang collaborates with scholars based in China, United States and Canada. Shuxia Wang's co-authors include Ping Zhu, Shouyuan Ma, Anhang Zhang, Qiligeer Bao, Bokai Cheng, Shuang Cai, Yongkang Su, Jin Sun, Jianfeng Liu and Yutang Wang and has published in prestigious journals such as Scientific Reports, BMC Psychiatry and Haematologica.

In The Last Decade

Shuxia Wang

22 papers receiving 343 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shuxia Wang 123 72 58 50 42 24 347
Jun Jin 78 0.6× 88 1.2× 66 1.1× 33 0.7× 21 0.5× 50 424
Jiewen Jin 100 0.8× 35 0.5× 92 1.6× 47 0.9× 26 0.6× 31 321
Owen J. MacEneaney 194 1.6× 113 1.6× 28 0.5× 104 2.1× 22 0.5× 22 403
Cristina Antinozzi 244 2.0× 39 0.5× 72 1.2× 77 1.5× 88 2.1× 41 608
Xiaofei Man 153 1.2× 30 0.4× 45 0.8× 75 1.5× 21 0.5× 33 517
Robert A. Redden 81 0.7× 78 1.1× 100 1.7× 69 1.4× 68 1.6× 10 443
Zihao Qu 166 1.3× 19 0.3× 99 1.7× 37 0.7× 37 0.9× 22 489
Kerstin Hartmann 86 0.7× 61 0.8× 24 0.4× 41 0.8× 64 1.5× 10 316
Petros Moustardas 88 0.7× 110 1.5× 106 1.8× 42 0.8× 52 1.2× 20 453

Countries citing papers authored by Shuxia Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shuxia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuxia Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shuxia Wang. A scholar is included among the top collaborators of Shuxia 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 Shuxia Wang. Shuxia 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.
Cai, Shuang, Bokai Cheng, Jin Sun, et al.. (2025). The relationship between the ratio of triglyceride to high-density lipoprotein cholesterol and left ventricular hypertrophy in Chinese hypertension adults. Scientific Reports. 15(1). 14252–14252. 1 indexed citations
2.
3.
Cai, Shuang, Bokai Cheng, Yun Li, et al.. (2023). Association of cognitive impairment and diabetes on survival in Chinese older people with hypertension: a 10-year prospective study. BMC Geriatrics. 23(1). 582–582. 2 indexed citations
4.
Chen, Liujun, Lisha Li, Donghong Cui, et al.. (2023). Extracellular macrophage migration inhibitory factor (MIF) downregulates adipose hormone-sensitive lipase (HSL) and contributes to obesity. Molecular Metabolism. 79. 101834–101834. 10 indexed citations
5.
Bao, Qiligeer, Yun Li, Shouyuan Ma, et al.. (2023). Hypertriglyceridemic waist phenotype is associated with left ventricular hypertrophy in Chinese hypertension patients. Journal of Clinical Hypertension. 25(2). 191–198. 3 indexed citations
6.
Li, Man, et al.. (2022). Effect of metformin on the epigenetic age of peripheral blood in patients with diabetes mellitus. Frontiers in Genetics. 13. 955835–955835. 9 indexed citations
7.
Cheng, Bokai, Yongkang Su, Man Li, et al.. (2022). The Potential Role of m6A RNA Methylation in the Aging Process and Aging-Associated Diseases. Frontiers in Genetics. 13. 869950–869950. 32 indexed citations
8.
Cai, Shuang, Ying Ding, Bokai Cheng, et al.. (2022). The relationship between the weight-adjusted-waist index and left ventricular hypertrophy in Chinese hypertension adults. Hypertension Research. 46(1). 253–260. 25 indexed citations
9.
Wei, Lei, Xiaowo Wang, Shuxia Wang, et al.. (2022). YTHDF3 modulates hematopoietic stem cells by recognizing RNA m<sup>6</sup>A modification on <i>Ccnd1</i>. Haematologica. 107(10). 2381–2394. 19 indexed citations
10.
Cai, Shuang, Lin Zhou, Yue Zhang, et al.. (2022). Association of the Weight-Adjusted-Waist Index With Risk of All-Cause Mortality: A 10-Year Follow-Up Study. Frontiers in Nutrition. 9. 894686–894686. 60 indexed citations
11.
Zhang, Anhang, Yingnan Li, Shouyuan Ma, et al.. (2022). Conicity-index predicts all-cause mortality in Chinese older people: a 10-year community follow-up. BMC Geriatrics. 22(1). 971–971. 23 indexed citations
12.
Cai, Shuang, Jing Dong, Bokai Cheng, et al.. (2022). Relationship of a new anthropometric index with left ventricular hypertrophy in hypertensive patients among the Han Chinese. BMC Cardiovascular Disorders. 22(1). 16–16. 2 indexed citations
13.
Wang, Shuxia, et al.. (2022). Advances in the Application of Induced Pluripotent Stem Cells in Alzheimer’s Disease and Parkinson's Disease. Current Stem Cell Research & Therapy. 18(2). 154–162. 2 indexed citations
14.
Sun, Jin, Yongkang Su, Man Li, et al.. (2021). Mediation effect of obesity on the association between triglyceride‐glucose index and hyperuricemia in Chinese hypertension adults. Journal of Clinical Hypertension. 24(1). 47–57. 16 indexed citations
15.
Ma, Shouyuan, Shuxia Wang, Man Li, Yan Zhang, & Ping Zhu. (2018). The effects of pigment epithelium-derived factor on atherosclerosis: putative mechanisms of the process. Lipids in Health and Disease. 17(1). 240–240. 28 indexed citations
16.
17.
Ma, Shouyuan, Yuanyuan Guo, Shuxia Wang, et al.. (2017). The T Allele of rs8075977 in the 5′-Flanking Region of the PEDF Gene Is Associated with Reduced Risk of Coronary Artery Disease in Elderly Chinese Men. The Tohoku Journal of Experimental Medicine. 241(4). 297–308. 2 indexed citations
18.
Liu, Jianfeng, Ping Zhu, Peng Song, et al.. (2015). Pretreatment of Adipose Derived Stem Cells with Curcumin Facilitates Myocardial Recovery via Antiapoptosis and Angiogenesis. Stem Cells International. 2015. 1–12. 71 indexed citations
19.
Zeng, Qiang, Ying Yuan, Shuxia Wang, et al.. (2013). Polymorphisms on Chromosome 9p21 Confer a Risk for Acute Coronary Syndrome in a Chinese Han Population. Canadian Journal of Cardiology. 29(8). 940–944. 12 indexed citations
20.
Liu, Jie, Shuxia Wang, Jinxin Shi, et al.. (2013). The Association Study of Plasma Levels of Pigment Epithelium-Derived Factor with Acute Coronary Syndrome in the Chinese Han Population. Cardiology. 127(1). 31–37. 9 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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