Zhijian Yang

668 total citations
28 papers, 480 citations indexed

About

Zhijian Yang is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Zhijian Yang has authored 28 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Zhijian Yang's work include Diabetes and associated disorders (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Genetic Associations and Epidemiology (3 papers). Zhijian Yang is often cited by papers focused on Diabetes and associated disorders (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Genetic Associations and Epidemiology (3 papers). Zhijian Yang collaborates with scholars based in China, United States and Poland. Zhijian Yang's co-authors include Ze‐Mu Wang, Wei Gao, Meng Zhu, Fang Qiu, Huan Zhao, Lian‐Sheng Wang, Zhenlin Nie, Bo Zhou, Xiang Lü and Fang Wang and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Zhijian Yang

28 papers receiving 470 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhijian Yang China 13 174 118 70 65 64 28 480
Ümmügülsüm Can Türkiye 12 106 0.6× 80 0.7× 98 1.4× 42 0.6× 47 0.7× 35 414
Yesari Karter Türkiye 15 94 0.5× 75 0.6× 98 1.4× 125 1.9× 72 1.1× 29 493
Hanumanthappa Nandeesha India 14 126 0.7× 64 0.5× 59 0.8× 68 1.0× 29 0.5× 31 589
Danielle Lann United States 8 212 1.2× 70 0.6× 110 1.6× 41 0.6× 67 1.0× 10 512
Satyesh K. Sinha United States 14 252 1.4× 47 0.4× 132 1.9× 62 1.0× 78 1.2× 25 733
Silvia Mahmood Slovakia 11 186 1.1× 63 0.5× 52 0.7× 15 0.2× 37 0.6× 17 556
Ruth Boxall United Kingdom 5 197 1.1× 81 0.7× 62 0.9× 89 1.4× 109 1.7× 7 463
Bing Tang China 13 177 1.0× 55 0.5× 56 0.8× 218 3.4× 97 1.5× 35 551
Zhang Jin China 14 224 1.3× 42 0.4× 185 2.6× 136 2.1× 103 1.6× 54 705

Countries citing papers authored by Zhijian Yang

Since Specialization
Citations

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

Fields of papers citing papers by Zhijian Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhijian Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhijian Yang. A scholar is included among the top collaborators of Zhijian Yang 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 Zhijian Yang. Zhijian Yang 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.
Zeng, Jian, Ye Tian, Zhijian Yang, et al.. (2025). MUTATE: a human genetic atlas of multiorgan artificial intelligence endophenotypes using genome-wide association summary statistics.. PubMed. 26(2). 5 indexed citations
2.
Wang, Rongguang, Zhijian Yang, Vishnu Bashyam, et al.. (2024). Generative models of MRI-derived neuroimaging features and associated dataset of 18,000 samples. Scientific Data. 11(1). 1330–1330. 3 indexed citations
3.
Bao, Jingxuan, Junhao Wen, Zhijian Yang, et al.. (2023). Brain-wide genome-wide colocalization study for integrating genetics, transcriptomics and brain morphometry in Alzheimer's disease. NeuroImage. 280. 120346–120346. 10 indexed citations
4.
Li, Yanyan, Xin-zheng Lu, Xinxing Yang, et al.. (2019). GHRL Gene Leu72Met Polymorphism and Type 2 Diabetes Mellitus: A Meta-Analysis Involving 8,194 Participants. Frontiers in Endocrinology. 10. 559–559. 14 indexed citations
5.
Li, Yanyan, Xin-zheng Lu, Hui Wang, et al.. (2018). Solute Carrier Family 30 Member 8 Gene 807C/T Polymorphism and Type 2 Diabetes Mellitus in the Chinese Population: A Meta-Analysis Including 6,942 Subjects. Frontiers in Endocrinology. 9. 263–263. 6 indexed citations
6.
7.
Liu, Jia, Peng Wu, Hao Wang, et al.. (2016). Necroptosis Induced by Ad-HGF Activates Endogenous C-Kit+ Cardiac Stem Cells and Promotes Cardiomyocyte Proliferation and Angiogenesis in the Infarcted Aged Heart. Cellular Physiology and Biochemistry. 40(5). 847–860. 20 indexed citations
8.
Tao, Zhiwen, et al.. (2016). Puerarin inhibits cardiac fibrosis via monocyte chemoattractant protein (MCP)-1 and the transforming growth factor-β1 (TGF-β1) pathway in myocardial infarction mice.. PubMed. 8(10). 4425–4433. 22 indexed citations
9.
Gao, Wei, Meng Zhu, Hao Wang, et al.. (2015). Association of polymorphisms in long non-coding RNA H19 with coronary artery disease risk in a Chinese population. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 772. 15–22. 108 indexed citations
10.
11.
Jiang, Wenlong, et al.. (2014). The angiotensinogen gene polymorphism is associated with heart failure among Asians. Scientific Reports. 4(1). 4207–4207. 7 indexed citations
12.
Wang, Ze‐Mu, Di Zhao, Zhenlin Nie, et al.. (2013). Flavonol intake and stroke risk: A meta-analysis of cohort studies. Nutrition. 30(5). 518–523. 47 indexed citations
13.
Zhang, Min, Haoyu Meng, Zhiwen Tao, et al.. (2013). A correlation between acute kidney injury and myonecrosis after scheduled percutaneous coronary intervention. Journal of Zhejiang University SCIENCE B. 14(8). 713–720. 1 indexed citations
14.
Li, Yanyan, Zhijian Yang, Xiangming Wang, et al.. (2013). Adiponectin-11377CG Gene Polymorphism and Type 2 Diabetes Mellitus in the Chinese Population: A Meta-Analysis of 6425 Subjects. PLoS ONE. 8(4). e61153–e61153. 14 indexed citations
15.
Lian, Xiaoqing, Di Zhao, Meng Zhu, et al.. (2013). The influence of regular walking at different times of day on blood lipids and inflammatory markers in sedentary patients with coronary artery disease. Preventive Medicine. 58. 64–69. 35 indexed citations
16.
Li, Yanyan, Liansheng Wang, Xin-zheng Lu, et al.. (2013). CDKAL1 gene rs7756992 A/G polymorphism and type 2 diabetes mellitus: a meta-analysis of 62,567 subjects. Scientific Reports. 3(1). 3131–3131. 17 indexed citations
17.
Wang, Ze‐Mu, Zhenlin Nie, Bo Zhou, et al.. (2012). Flavonols intake and the risk of coronary heart disease: a meta-analysis of cohort studies. Atherosclerosis. 222(1). 270–273. 20 indexed citations
18.
Zhou, Bo, Zhenlin Nie, Wei Gao, et al.. (2011). Folate and risk of coronary heart disease: A meta-analysis of prospective studies. Nutrition Metabolism and Cardiovascular Diseases. 22(10). 890–899. 34 indexed citations
19.
Jin, Jianliang, et al.. (2011). An Improved Transplantation Strategy for Mouse Mesenchymal Stem Cells in an Acute Myocardial Infarction Model. PLoS ONE. 6(6). e21005–e21005. 26 indexed citations
20.
Yang, Zhijian & Fang Qiu. (2000). [Pericardial devascularization with splenectomy for the treatment of portal hypertension].. PubMed. 38(9). 645–8. 25 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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