Chengjian Yang

955 total citations
34 papers, 729 citations indexed

About

Chengjian Yang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, Chengjian Yang has authored 34 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Cardiology and Cardiovascular Medicine and 9 papers in Cancer Research. Recurrent topics in Chengjian Yang's work include MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (8 papers) and Circular RNAs in diseases (7 papers). Chengjian Yang is often cited by papers focused on MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (8 papers) and Circular RNAs in diseases (7 papers). Chengjian Yang collaborates with scholars based in China, Fiji and United States. Chengjian Yang's co-authors include Zhijun Han, Shiwei Shen, Tong Su, Yun Lu, Lizhu Zhang, Zhenhai Shen, Qiang Huang, Dan Wu, Xi Chen and Weifeng Yao and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Scientific Reports.

In The Last Decade

Chengjian Yang

30 papers receiving 718 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengjian Yang China 15 313 229 195 105 103 34 729
Donna Vizi Australia 9 215 0.7× 113 0.5× 549 2.8× 51 0.5× 76 0.7× 23 862
Qin Wan China 15 226 0.7× 103 0.4× 76 0.4× 152 1.4× 91 0.9× 70 786
Feng Bai China 14 226 0.7× 67 0.3× 93 0.5× 144 1.4× 68 0.7× 32 609
Yoshimitsu Tanaka Japan 11 228 0.7× 70 0.3× 141 0.7× 38 0.4× 189 1.8× 15 577
Sanae Watanabe Japan 16 170 0.5× 56 0.2× 320 1.6× 120 1.1× 91 0.9× 30 825
Baoyi Guan China 9 223 0.7× 83 0.4× 58 0.3× 39 0.4× 58 0.6× 18 558
Yi-Jen Hung Taiwan 14 243 0.8× 49 0.2× 71 0.4× 130 1.2× 98 1.0× 30 708
Xianhong Fang China 16 338 1.1× 208 0.9× 503 2.6× 21 0.2× 40 0.4× 65 898
Damian Craig United States 14 327 1.0× 42 0.2× 294 1.5× 100 1.0× 128 1.2× 23 906

Countries citing papers authored by Chengjian Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chengjian Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengjian Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Chengjian Yang. A scholar is included among the top collaborators of Chengjian 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 Chengjian Yang. Chengjian 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.
2.
Chen, Liang, Zhijun Han, Junhong Wang, & Chengjian Yang. (2022). The emerging roles of machine learning in cardiovascular diseases: a narrative review. Annals of Translational Medicine. 10(10). 611–611. 12 indexed citations
3.
He, Ziqian, et al.. (2022). In vivo study of a reserved atrial septal puncture area patent foramen ovale occluder. Cardiology in the Young. 33(9). 1581–1586.
4.
Su, Tong, Xiaonan Shao, Xiaonan Shao, et al.. (2019). Value of circulating miRNA-1 detected within 3 h after the onset of acute chest pain in the diagnosis and prognosis of acute myocardial infarction. International Journal of Cardiology. 307. 146–151. 27 indexed citations
5.
Jin, Yan, et al.. (2019). Inhibition of MicroRNA-206 Ameliorates Ischemia–Reperfusion Arrhythmia in a Mouse Model by Targeting Connexin43. Journal of Cardiovascular Translational Research. 13(4). 584–592. 15 indexed citations
6.
Liu, Haohao, et al.. (2019). A faster detection method for high-sensitivity cardiac troponin—POCT quantum dot fluorescence immunoassay. Journal of Thoracic Disease. 11(4). 1506–1513. 10 indexed citations
7.
Jin, Yan, et al.. (2018). MicroRNA-206 Downregulates Connexin43 in Cardiomyocytes to Induce Cardiac Arrhythmias in a Transgenic Mouse Model. Heart Lung and Circulation. 28(11). 1755–1761. 23 indexed citations
8.
Shen, Shiwei, Yun Lu, Chengjian Yang, et al.. (2018). Aerobic Exercise for a Duration of 90 min or Longer Per Week may Reduce the Atherogenic Index of Plasma. Scientific Reports. 8(1). 1730–1730. 10 indexed citations
9.
Shen, Shiwei, Yun Lu, Feng Li, et al.. (2018). Atherogenic index of plasma is an effective index for estimating abdominal obesity. Lipids in Health and Disease. 17(1). 11–11. 65 indexed citations
10.
Wang, Chunxia, et al.. (2017). Higher coronary artery calcification score is associated with adverse prognosis in patients with stable angina pectoris. Journal of Thoracic Disease. 9(3). 582–589. 12 indexed citations
11.
Shen, Shiwei, Yun Lu, Feng Li, et al.. (2017). Waist-to-height ratio is an effective indicator for comprehensive cardiovascular health. Scientific Reports. 7(1). 43046–43046. 49 indexed citations
12.
Shen, Shiwei, Yun Lu, Li Feng, et al.. (2016). Association between ideal cardiovascular health and the atherogenic index of plasma. Medicine. 95(24). e3866–e3866. 54 indexed citations
13.
Shen, Shiwei, Yun Lu, Zhenhai Shen, et al.. (2016). Effect of aerobic exercise on the atherogenic index of plasma in middle-aged Chinese men with various body weights. International Journal of Cardiology. 230. 1–5. 18 indexed citations
14.
Ding, Hong, Xin Xu, Xian Qin, Chengjian Yang, & Qiuting Feng. (2016). Resveratrol promotes differentiation of mouse embryonic stem cells to cardiomyocytes. Cardiovascular Therapeutics. 34(4). 283–289. 17 indexed citations
15.
Zhang, Lizhu, Xi Chen, Tong Su, et al.. (2015). GW26-e0469 Circulating miR-499 are novel and sensitive biomarker of acute myocardial infarction. Journal of the American College of Cardiology. 66(16). C80–C80. 10 indexed citations
16.
Han, Zhijun, Lizhu Zhang, Ling Yuan, et al.. (2015). Change of plasma microRNA-208 level in acute myocardial infarction patients and its clinical significance.. PubMed. 3(20). 307–307. 13 indexed citations
17.
Yang, Chengjian, et al.. (2014). A Label-Free Electrochemical Aptasensor for the Analysis of The Potassium Ion. Journal of Immunoassay and Immunochemistry. 36(2). 162–169. 6 indexed citations
18.
Yang, Chengjian, et al.. (2010). [The echocardiographic diagnostic characteristics and follow-up of apical hypertrophic cardiomyopathy.].. PubMed. 49(2). 119–21.
19.
Su, Weiqiang, et al.. (2008). Evaluation of apolipoprotein M as a biomarker of coronary artery disease. Clinical Biochemistry. 42(4-5). 365–370. 12 indexed citations
20.
Jiao, Guoqing, et al.. (2007). A prospective evaluation of apolipoprotein M gene T-778C polymorphism in relation to coronary artery disease in Han Chinese. Clinical Biochemistry. 40(15). 1108–1112. 36 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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