Yingxin Zhao

1.3k total citations
45 papers, 690 citations indexed

About

Yingxin Zhao is a scholar working on Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health and Surgery. According to data from OpenAlex, Yingxin Zhao has authored 45 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cardiology and Cardiovascular Medicine, 9 papers in Public Health, Environmental and Occupational Health and 6 papers in Surgery. Recurrent topics in Yingxin Zhao's work include Blood Pressure and Hypertension Studies (13 papers), Cardiovascular Health and Disease Prevention (10 papers) and Nutritional Studies and Diet (7 papers). Yingxin Zhao is often cited by papers focused on Blood Pressure and Hypertension Studies (13 papers), Cardiovascular Health and Disease Prevention (10 papers) and Nutritional Studies and Diet (7 papers). Yingxin Zhao collaborates with scholars based in China, United States and United Kingdom. Yingxin Zhao's co-authors include Zhendong Liu, Shangwen Sun, Fanghong Lu, Shujian Wang, Qiang Chai, Yi Cui, Gary Gong, Jianfeng Huang, Xiangfeng Lu and Chong Shen and has published in prestigious journals such as American Journal of Clinical Nutrition, Scientific Reports and Hypertension.

In The Last Decade

Yingxin Zhao

43 papers receiving 685 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingxin Zhao China 17 317 135 96 91 86 45 690
Satoko Sakata Japan 17 259 0.8× 122 0.9× 132 1.4× 140 1.5× 93 1.1× 67 827
Jue Li China 17 706 2.2× 167 1.2× 131 1.4× 96 1.1× 95 1.1× 53 1.1k
Dachuan Gu China 15 222 0.7× 78 0.6× 123 1.3× 85 0.9× 74 0.9× 28 484
Linsay McCallum United Kingdom 13 275 0.9× 49 0.4× 84 0.9× 69 0.8× 82 1.0× 33 660
Maartje N. Niemeijer Netherlands 14 374 1.2× 105 0.8× 70 0.7× 61 0.7× 169 2.0× 17 739
Alena Krajčoviechová Czechia 14 394 1.2× 90 0.7× 124 1.3× 164 1.8× 98 1.1× 38 719
Guru Prasad Sogunuru Malaysia 16 550 1.7× 85 0.6× 188 2.0× 98 1.1× 32 0.4× 24 866
Andrea Ferrucci Italy 17 671 2.1× 96 0.7× 189 2.0× 130 1.4× 72 0.8× 63 916
Hongwei Ji China 15 544 1.7× 118 0.9× 248 2.6× 113 1.2× 93 1.1× 49 985
James Strait United States 8 279 0.9× 108 0.8× 170 1.8× 45 0.5× 61 0.7× 15 673

Countries citing papers authored by Yingxin Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Yingxin Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingxin Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Yingxin Zhao. A scholar is included among the top collaborators of Yingxin Zhao 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 Yingxin Zhao. Yingxin Zhao 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.
Wu, Hong, et al.. (2025). Robust Design of Aerial Reconfigurable Intelligent Surface-Enabled URLLC Systems With Hardware Impairments. IEEE Transactions on Vehicular Technology. 74(7). 10607–10621. 1 indexed citations
2.
Geng, Xue, et al.. (2025). CRS-Based Joint CFO and Channel Estimation Using Deep Learning in OFDM-Based Vehicular Communication Systems. IEEE Transactions on Wireless Communications. 24(5). 3882–3893.
3.
Jia, Yanhui, Zhi‐Zhu He, Fangchao Liu, et al.. (2024). Dietary intake changes the associations between long-term exposure to fine particulate matter and the surrogate indicators of insulin resistance. Environment International. 186. 108626–108626. 2 indexed citations
4.
Jiang, Yingying, Fangchao Liu, Chong Shen, et al.. (2023). Lifestyle improvement and the reduced risk of cardiovascular disease: the China-PAR project. Journal of Geriatric Cardiology. 20(11). 779–787. 3 indexed citations
5.
He, Zhi‐Zhu, Yanhui Jia, Jianxin Li, et al.. (2023). Fruit and vegetable intake and the risk of arterial hypertension in China: A prospective cohort study. Chronic Diseases and Translational Medicine. 9(4). 309–319. 2 indexed citations
6.
Liu, Fangchao, Jianxin Li, Jichun Chen, et al.. (2023). Sex Differences in Associations Between Socioeconomic Status and Incident Hypertension Among Chinese Adults. Hypertension. 80(4). 783–791. 19 indexed citations
7.
Zhang, Qin, Yuqi Guo, Mei Li, et al.. (2023). Excessive dietary sodium intake augments long-term risk of atrial fibrillation in older adults with hyperglycemia: A community-based prospective cohort study. Diabetes & Metabolism. 49(5). 101475–101475. 6 indexed citations
8.
Li, Jianxin, Mengyao Liu, Fangchao Liu, et al.. (2023). Age and Genetic Risk Score and Rates of Blood Lipid Changes in China. JAMA Network Open. 6(3). e235565–e235565. 16 indexed citations
9.
Xia, Xue, Fangchao Liu, Keyong Huang, et al.. (2023). Egg consumption and risk of coronary artery disease, potential amplification by high genetic susceptibility: a prospective cohort study. American Journal of Clinical Nutrition. 118(4). 773–781. 6 indexed citations
10.
Liu, Qiong, Fangchao Liu, Jianxin Li, et al.. (2020). Sedentary behavior and risk of incident cardiovascular disease among Chinese adults. Science Bulletin. 65(20). 1760–1766. 19 indexed citations
11.
Xia, Xue, Fangchao Liu, Xueli Yang, et al.. (2020). Associations of egg consumption with incident cardiovascular disease and all-cause mortality. Science China Life Sciences. 63(9). 1317–1327. 25 indexed citations
12.
Wei, Jialiu, Xinyan Wang, Fangchao Liu, et al.. (2020). Associations of soybean products intake with blood pressure changes and hypertension incidence: the China-PAR project.. PubMed. 17(7). 384–392. 13 indexed citations
13.
Guo, Yuqi, Yi Cui, Yingxin Zhao, et al.. (2020). Assessing the effectiveness of statin therapy for alleviating cerebral small vessel disease progression in people ≥75 years of age. BMC Geriatrics. 20(1). 292–292. 25 indexed citations
14.
15.
Bai, Kunhao, et al.. (2017). Kidney function and cognitive decline in an oldest-old Chinese population. Clinical Interventions in Aging. Volume 12. 1049–1054. 19 indexed citations
16.
17.
18.
Peng, Jie, Yingxin Zhao, Hua Zhang, et al.. (2014). Prevention of metabolic disorders with telmisartan and indapamide in a Chinese population with high-normal blood pressure. Hypertension Research. 38(2). 123–131. 8 indexed citations
19.
Liu, Zhendong, Cheng Zhang, Yingxin Zhao, et al.. (2012). The prevalence of hyperuricemia and its correlates in an inland Chinese adult population, urban and rural of Jinan. Rheumatology International. 33(6). 1511–1517. 20 indexed citations
20.
Sun, Shangwen, et al.. (2012). 2010 Chinese guidelines for the management of hypertension. American Journal of Hypertension. 25(2). 271–271. 99 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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