Jingang Yang
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Public Health, Environmental and Occupational Health
- Epidemiology
- Oncology
- Topics
- Artificial Intelligence in Healthcare (4 papers)Acute Myocardial Infarction Research (4 papers)Machine Learning in Healthcare (3 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrine and Autonomic SystemsGeriatrics and Gerontology
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Jingang Yang
23 papers receiving 508 citations
Peers
Comparison fields: 5 of 105
- Cardiology and Cardiovascular Medicine 262
- Molecular Biology 123
- Public Health, Environmental and Occupational Health 58
- Epidemiology 53
- Oncology 47
Countries citing papers authored by Jingang Yang
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 18 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 189 | |
| 12 | 5 | |
| 13 | 22 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 137 | |
| 17 | 1 | |
| 18 | Abstract 15144: Current Status of Medication Usage for Cardiovascular Disease and Hypertension in China (PURE-China Study) | 1 |
| 19 | [Novel mutations of cardiac troponin T in Chinese patients with hypertrophic cardiomyopathy]. | 3 |
| 20 | [Novel MYBPC3 mutations in Chinese patients with hypertrophic cardiomyopathy]. | 1 |
About Jingang Yang
Jingang Yang is a scholar working on Health Information Management, Cardiology and Cardiovascular Medicine and Internal Medicine, having authored 26 papers that have together received 517 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (4 papers), Acute Myocardial Infarction Research (4 papers) and Machine Learning in Healthcare (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (262 citations), Endocrine and Autonomic Systems (35 citations) and Geriatrics and Gerontology (18 citations). Jingang Yang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Shubin Qiao, Jiansong Yuan, Zhiqiang Ma, Dong Liu, Shouyin Di, Liqun Xu, Yang Yang, Rüssel J. Reiter, Yuejin Yang and Jiang‐Shan Tan. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Free Radical Biology and Medicine.
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.