Jingang Yang

827 total citations
26 papers, 517 citations indexed

About

Jingang Yang is a scholar working on Cardiology and Cardiovascular Medicine, Health Information Management and Molecular Biology. According to data from OpenAlex, Jingang Yang has authored 26 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 4 papers in Health Information Management and 3 papers in Molecular Biology. Recurrent topics in Jingang Yang's work include Artificial Intelligence in Healthcare (4 papers), Acute Myocardial Infarction Research (4 papers) and Machine Learning in Healthcare (3 papers). Jingang Yang is often cited by papers focused on Artificial Intelligence in Healthcare (4 papers), Acute Myocardial Infarction Research (4 papers) and Machine Learning in Healthcare (3 papers). Jingang Yang collaborates with scholars based in China, United States and Netherlands. Jingang Yang's co-authors include Shubin Qiao, Zhiqiang Ma, Jiansong Yuan, Dong Liu, Yang Yang, Liqun Xu, Shouyin Di, Rüssel J. Reiter, Yuejin Yang and Jiang‐Shan Tan and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Free Radical Biology and Medicine.

In The Last Decade

Jingang Yang

23 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingang Yang China 8 262 123 58 53 47 26 517
Atsuhiko Takahashi Japan 13 186 0.7× 107 0.9× 64 1.1× 72 1.4× 33 0.7× 57 600
Yunfeng Han China 14 178 0.7× 132 1.1× 23 0.4× 39 0.7× 27 0.6× 44 564
Melvin George India 16 197 0.8× 163 1.3× 48 0.8× 38 0.7× 39 0.8× 89 715
Ya Xiao China 14 130 0.5× 134 1.1× 79 1.4× 66 1.2× 69 1.5× 46 632
Sofie Brouwers Belgium 9 273 1.0× 96 0.8× 32 0.6× 35 0.7× 11 0.2× 25 472
Tingting Feng China 18 356 1.4× 154 1.3× 78 1.3× 116 2.2× 43 0.9× 32 833
Christy‐Lynn M. Cooke Canada 17 153 0.6× 134 1.1× 72 1.2× 47 0.9× 16 0.3× 39 909
Yanli Chen China 11 97 0.4× 214 1.7× 39 0.7× 49 0.9× 33 0.7× 28 526

Countries citing papers authored by Jingang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jingang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jingang Yang. A scholar is included among the top collaborators of Jingang 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 Jingang Yang. Jingang 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.
Li, Zhennan, et al.. (2024). Epoxy/polymercaptan microcapsules composite: Synthesis, mechanics, and self-healing behavior. Journal of Reinforced Plastics and Composites. 44(21-22). 2079–2089.
2.
Yang, Jingang, Yanyan Zhao, Jianyi Wang, et al.. (2024). Current status of emergency medical service use in ST-segment elevation myocardial infarction in China: Findings from China Acute Myocardial Infarction (CAMI) Registry. International Journal of Cardiology. 406. 132040–132040. 2 indexed citations
3.
4.
Zhu, Xiaoyan, et al.. (2023). Impact of microplastics on the in situ, high-resolution of key nutrient dynamics at the soil-water interface in rice fields. Frontiers in Environmental Science. 11. 7 indexed citations
5.
Hu, Mengjin, et al.. (2022). Causal Associations between Paternal Longevity and Risks of Cardiovascular Diseases. Journal of Cardiovascular Development and Disease. 9(8). 233–233. 3 indexed citations
6.
Wang, Hao, Dong Liu, Yue Ma, et al.. (2022). A Nomogram for Predicting Survival in Patients With Colorectal Cancer Incorporating Cardiovascular Comorbidities. Frontiers in Cardiovascular Medicine. 9. 875560–875560. 3 indexed citations
7.
Hu, Mengjin, et al.. (2022). Use of Mendelian Randomization to Evaluate the Effect of Atrial Fibrillation on Cardiovascular Diseases and Cardiac Death. ESC Heart Failure. 10(1). 628–636. 6 indexed citations
8.
Li, Zhiqiang, Ji‐Rong Shao, Yu Tang, et al.. (2021). The Distribution and Sustainable Utilization of Buckwheat Resources under Climate Change in China. Plants. 10(10). 2081–2081. 18 indexed citations
9.
Chen, Yixi, Viktor Chirikov, Jingang Yang, et al.. (2020). Machine Learning for Precision Health Economics and Outcomes Research (P-HEOR): Conceptual Review of Applications and Next Steps. Journal of health economics and outcomes research. 7(1). 35–42. 7 indexed citations
10.
Yang, Jingang, Yingxue Li, Xiang Li, et al.. (2019). AN EXPLAINABLE MACHINE LEARNING-BASED RISK PREDICTION MODEL FOR IN-HOSPITAL MORTALITY FOR CHINESE STEMI PATIENTS: FINDINGS FROM CHINA MYOCARDIAL INFARCTION REGISTRY. Journal of the American College of Cardiology. 73(9). 261–261. 2 indexed citations
11.
Liu, Dong, Zhiqiang Ma, Shouyin Di, et al.. (2018). AMPK/PGC1α activation by melatonin attenuates acute doxorubicin cardiotoxicity via alleviating mitochondrial oxidative damage and apoptosis. Free Radical Biology and Medicine. 129. 59–72. 189 indexed citations
12.
Yang, Jingang, Xiang Li, Tiange Chen, et al.. (2018). MACHINE LEARNING MODELS TO PREDICT IN-HOSPITAL MORTALITY FOR ST-ELEVATION MYOCARDIAL INFARCTION: FROM CHINA ACUTE MYOCARDIAL INFARCTION (CAMI) REGISTRY. Journal of the American College of Cardiology. 71(11). A236–A236. 5 indexed citations
13.
14.
Dai, Yan, Jingang Yang, Zhan Gao, et al.. (2017). Atrial fibrillation in patients hospitalized with acute myocardial infarction: analysis of the china acute myocardial infarction (CAMI) registry. BMC Cardiovascular Disorders. 17(1). 2–2. 22 indexed citations
15.
Xu, Haiyan, Stephen D. Wiviott, Marc S. Sabatine, et al.. (2016). OUTCOMES AND READMISSION RATE WITHIN 30 DAYS AND 6 MONTHS AFTER ACUTE MYOCARDIAL INFARCTION IN CHINA: DATA FROM THE CHINA ACUTE MYOCARDIAL INFARCTION REGISTRY. Journal of the American College of Cardiology. 67(13). 506–506. 2 indexed citations
16.
Wei, Li, Hongqiu Gu, Koon Teo, et al.. (2015). Hypertension prevalence, awareness, treatment, and control in 115 rural and urban communities involving 47 000 people from China. Journal of Hypertension. 34(1). 39–46. 137 indexed citations
17.
Tang, Xin‐Ran, Jingang Yang, Wei Li, et al.. (2013). URBAN AND RURAL DIFFERENCES OF BLOOD PRESSURE AND HYPERTENSION CONTROL IN CHINESE COMMUNITIES: PURE CHINA STUDY. Journal of the American College of Cardiology. 61(10). E1350–E1350. 1 indexed citations
18.
Yang, Jingang, et al.. (2012). Abstract 15144: Current Status of Medication Usage for Cardiovascular Disease and Hypertension in China (PURE-China Study). Circulation. 126. 1 indexed citations
19.
Liu, Wen‐ling, Dayi Hu, Tiangang Zhu, et al.. (2011). [Novel mutations of cardiac troponin T in Chinese patients with hypertrophic cardiomyopathy].. PubMed. 39(10). 909–14. 3 indexed citations
20.
Liu, Wen‐ling, Dayi Hu, Tiangang Zhu, et al.. (2009). [Novel MYBPC3 mutations in Chinese patients with hypertrophic cardiomyopathy].. PubMed. 37(8). 734–8. 1 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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