Chao Qiang Jiang
- Epidemiology top 5%
- Public Health, Environmental and Occupational Health top 2%
- Physiology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Experimental and Cognitive Psychology top 2%
- Co-authors
- TH LamKar Keung ChengG. Neil ThomasWei Sen ZhangLin XuYa Li JinPeymané AdabXiang Qian Lao
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers)Liver Disease Diagnosis and Treatment (14 papers)Adipokines, Inflammation, and Metabolic Diseases (13 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Chao Qiang Jiang
140 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 139
- Epidemiology 803
- Public Health, Environmental and Occupational Health 637
- Physiology 557
- Cardiology and Cardiovascular Medicine 474
- Experimental and Cognitive Psychology 414
Countries citing papers authored by Chao Qiang Jiang
This map shows the geographic impact of Chao Qiang Jiang'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 Chao Qiang Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Qiang Jiang more than expected).
Fields of papers citing papers by Chao Qiang Jiang
This network shows the impact of papers produced by Chao Qiang Jiang. 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 Chao Qiang Jiang. The network helps show where Chao Qiang Jiang may publish in the future.
Co-authorship network of co-authors of Chao Qiang Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Chao Qiang Jiang. A scholar is included among the top collaborators of Chao Qiang Jiang 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 Chao Qiang Jiang. Chao Qiang Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 23 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 14 | |
| 10 | 5 | |
| 11 | 15 | |
| 12 | 6 | |
| 13 | 8 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 7 | |
| 17 | 18 | |
| 18 | 12 | |
| 19 | 5 | |
| 20 | 31 |
About Chao Qiang Jiang
Chao Qiang Jiang is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine, having authored 147 papers that have together received 3.3k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers), Liver Disease Diagnosis and Treatment (14 papers) and Adipokines, Inflammation, and Metabolic Diseases (13 papers). The work is most often cited by research in Modeling and Simulation (202 citations), Experimental and Cognitive Psychology (414 citations) and Health (227 citations). Chao Qiang Jiang has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include TH Lam, Kar Keung Cheng, G. Neil Thomas, Wei Sen Zhang, Lin Xu, Ya Li Jin, Peymané Adab, Xiang Qian Lao, Justin Lessler and Steven Riley. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.