Jing Hong
- Endocrinology, Diabetes and Metabolism
- Cardiology and Cardiovascular Medicine
- Epidemiology
- Nephrology
- Molecular Biology
- Topics
- Hormonal Regulation and Hypertension (4 papers)Apelin-related biomedical research (3 papers)Cardiovascular Health and Risk Factors (3 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Jing Hong
15 papers receiving 77 citations
Peers
Comparison fields: 5 of 37
- Endocrinology, Diabetes and Metabolism 33
- Cardiology and Cardiovascular Medicine 22
- Epidemiology 22
- Nephrology 14
- Molecular Biology 9
Countries citing papers authored by Jing Hong
This map shows the geographic impact of Jing Hong'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 Jing Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Hong more than expected).
Fields of papers citing papers by Jing Hong
This network shows the impact of papers produced by Jing Hong. 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 Jing Hong. The network helps show where Jing Hong may publish in the future.
Co-authorship network of co-authors of Jing Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Jing Hong. A scholar is included among the top collaborators of Jing Hong 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 Jing Hong. Jing Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 14 | |
| 5 | 20 | |
| 6 | 20 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | [Effect of lifestyle interventions on reduction of cardiovascular disease events and its mortality in pre-diabetic patients:long-term follow-up of Da Qing Diabetes Prevention Study]. | 6 |
| 12 | 2 | |
| 13 | 1 | |
| 14 | [Relationship between rs3865418 polymorphism of neural precursor cell expressed developmentally downregulated 4-like gene and obesity in Kazakh general population]. | 1 |
| 15 | 1 | |
| 16 | 1 | |
| 17 | [Association between rs4149601 polymorphism and essential hypertension in Kazakh]. | 1 |
| 18 | 1 |
About Jing Hong
Jing Hong is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Behavioral Neuroscience, having authored 18 papers that have together received 77 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (4 papers), Apelin-related biomedical research (3 papers) and Cardiovascular Health and Risk Factors (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (33 citations), Nephrology (14 citations) and Cardiology and Cardiovascular Medicine (22 citations). Jing Hong has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Nanfang Li, Xintian Cai, Wenbo Yang, Di Shen, Shuaiwei Song, Qing Zhu, Qin Luo, Mulalibieke Heizhati, Delian Zhang and Junli Hu. Their work appears in journals such as Scientific Reports, Journal of Allergy and Clinical Immunology and Journal of Hypertension.
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.