Yanping Zhao

506 total citations
17 papers, 363 citations indexed

About

Yanping Zhao is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Yanping Zhao has authored 17 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 5 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Yanping Zhao's work include Adipose Tissue and Metabolism (3 papers), Connective tissue disorders research (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Yanping Zhao is often cited by papers focused on Adipose Tissue and Metabolism (3 papers), Connective tissue disorders research (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Yanping Zhao collaborates with scholars based in China, United States and Taiwan. Yanping Zhao's co-authors include Huilin Xu, Yinan Liu, Miao Mo, Hua Zhang, Baodong Yao, Wanghong Xu, Yujie Yan, Hong Fang, Geena Joseph and Chong Shen and has published in prestigious journals such as Gene, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Oncotarget.

In The Last Decade

Yanping Zhao

17 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yanping Zhao China	9	117	109	75	73	67	17	363
Hadith Tangestani Iran	12	103 0.9×	123 1.1×	88 1.2×	65 0.9×	62 0.9×	38	372
M. Elizabeth Tejero United States	11	91 0.8×	162 1.5×	180 2.4×	106 1.5×	63 0.9×	15	446
Patricia J. Peña‐Orihuela Spain	10	98 0.8×	84 0.8×	61 0.8×	51 0.7×	53 0.8×	18	335
Hossein Hajianfar Iran	12	118 1.0×	153 1.4×	96 1.3×	79 1.1×	106 1.6×	33	456
Nava Morshedzadeh Iran	10	71 0.6×	111 1.0×	69 0.9×	69 0.9×	107 1.6×	18	444
Jose O Leite United States	10	164 1.4×	152 1.4×	70 0.9×	90 1.2×	57 0.9×	27	466
Kamila Osadnik Poland	10	79 0.7×	93 0.9×	27 0.4×	72 1.0×	47 0.7×	20	335
María Trinidad Soria-Florido Spain	9	97 0.8×	70 0.6×	52 0.7×	73 1.0×	69 1.0×	11	315
Julianne Filion United States	6	146 1.2×	268 2.5×	88 1.2×	123 1.7×	62 0.9×	6	429
Amanda R. Scelsi United States	10	106 0.9×	250 2.3×	85 1.1×	120 1.6×	66 1.0×	12	491

Countries citing papers authored by Yanping Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Yanping Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanping Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Yanping Zhao. A scholar is included among the top collaborators of Yanping 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 Yanping Zhao. Yanping Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

David, C. Immanuel, et al.. (2025). An albumin-based indicator displacement assay enables ratiometric detection of total ochratoxins in food. Microchemical Journal. 212. 113215–113215. 2 indexed citations

Zhao, Hailong, Song Yang, Jie Li, et al.. (2021). The variants at FLNA and FLNB contribute to the susceptibility of hypertension and stroke with differentially expressed mRNA. The Pharmacogenomics Journal. 21(4). 458–466. 8 indexed citations

Yang, Song, Yanping Zhao, Xiaotian Chen, et al.. (2019). The ACTB Variants and Alcohol Drinking Confer Joint Effect to Ischemic Stroke in Chinese Han Population. Journal of Atherosclerosis and Thrombosis. 27(3). 226–244. 19 indexed citations

Shen, Chong, et al.. (2018). A prospective study of the hypertriglyceridemic waist phenotype and risk of incident ischemic stroke in a Chinese rural population. Acta Neurologica Scandinavica. 138(2). 156–162. 11 indexed citations

Fang, Zhengmei, Song Yang, Lijun Zhu, et al.. (2017). Association study of IGFBP1 and IGFBP3 polymorphisms with hypertension and cardio-cerebral vascular diseases in a Chinese Han population. Oncotarget. 8(44). 77836–77845. 8 indexed citations

Yang, Song, Yanping Zhao, Yan Chen, et al.. (2017). Common variants of ROCKs and the risk of hypertension, and stroke: Two case-control studies and a follow-up study in Chinese Han population. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864(3). 778–783. 10 indexed citations

Yang, Xingjin, Lu Yin, Chao Pang, et al.. (2016). [Body mass index, waist circumference and waist-to-height ratio associated with the incidence of type 2 diabetes mellitus: a cohort study].. PubMed. 50(4). 328–33. 13 indexed citations

Xu, Lingling, Weihong Yu, Ping Huang, et al.. (2015). The Age-Specific Association of Waist Circumference and Risk of Chronic Kidney Disease in Patients with Type 2 Diabetes Mellitus in Shandong, China. International Journal of Endocrinology. 2015. 1–6. 4 indexed citations

Wei, Wenbin, Song Yang, Xianghai Zhao, et al.. (2014). CRP Gene polymorphism contributes genetic susceptibility to dyslipidemia in Han Chinese population. Molecular Biology Reports. 41(4). 2335–2343. 5 indexed citations

10.

Yao, Baodong, Hong Fang, Wanghong Xu, et al.. (2014). Dietary fiber intake and risk of type 2 diabetes: a dose–response analysis of prospective studies. European Journal of Epidemiology. 29(2). 79–88. 200 indexed citations

11.

Chen, Jinfeng, Xianghai Zhao, Chen Yanchun, et al.. (2014). Common Variants in TGFBR2 and miR-518 Genes Are Associated With Hypertension in the Chinese Population. American Journal of Hypertension. 27(10). 1268–1276. 17 indexed citations

12.

Chen, Jinfeng, Song Yang, Xianghai Zhao, et al.. (2014). Association study of common variations of FBN1 gene and essential hypertension in Han Chinese population. Molecular Biology Reports. 41(4). 2257–2264. 3 indexed citations

13.

Schoenhagen, Paul, Shen Tian, Yusong He, et al.. (2014). The prognostic value of long-term visit-to-visit blood pressure variability on stroke in real-world practice: A dynamic cohort study in a large representative sample of Chinese hypertensive population. International Journal of Cardiology. 177(3). 995–1000. 27 indexed citations

14.

Zhao, Yanping, Sijun Liu, Xianghai Zhao, et al.. (2012). Association study of CRP gene polymorphism and hypertension in Han Chinese population. Gene. 512(1). 41–46. 11 indexed citations

15.

Tan, Yongfei, et al.. (2010). [Influence of adefovir dipivoxil on HBV specific CTL in patients with chronic hepatitis B].. PubMed. 24(5). 362–3. 1 indexed citations

16.

Zhao, Yanping. (2007). Varieties of polysomnography in patients with insomnia and effects of medicines. Shandong yiyao. 1 indexed citations

17.

Joseph, Geena, Yanping Zhao, & W. Klaus. (1995). [Pharmacologic action profile of crataegus extract in comparison to epinephrine, amirinone, milrinone and digoxin in the isolated perfused guinea pig heart].. PubMed. 45(12). 1261–5. 23 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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