Hongyan Dai
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Cancer Research top 10%
- Epidemiology
- Topics
- Apelin-related biomedical research (5 papers)Cardiovascular, Neuropeptides, and Oxidative Stress Research (4 papers)Cardiovascular Disease and Adiposity (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NutritionExperimental Brain Research
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Hongyan Dai
50 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Molecular Biology 451
- Cardiology and Cardiovascular Medicine 293
- Surgery 204
- Cancer Research 186
- Epidemiology 129
Countries citing papers authored by Hongyan Dai
This map shows the geographic impact of Hongyan Dai'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 Hongyan Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongyan Dai more than expected).
Fields of papers citing papers by Hongyan Dai
This network shows the impact of papers produced by Hongyan Dai. 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 Hongyan Dai. The network helps show where Hongyan Dai may publish in the future.
Co-authorship network of co-authors of Hongyan Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Hongyan Dai. A scholar is included among the top collaborators of Hongyan Dai 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 Hongyan Dai. Hongyan Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | Association between triglyceride-glucose related indices and all-cause and cardiovascular mortality among the population with cardiovascular-kidney-metabolic syndrome stage 0–3: a cohort studybreakdown → | 27 |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 37 | |
| 7 | 4 | |
| 8 | 11 | |
| 9 | 10 | |
| 10 | 20 | |
| 11 | 86 | |
| 12 | 5 | |
| 13 | 38 | |
| 14 | 109 | |
| 15 | 19 | |
| 16 | 17 | |
| 17 | 77 | |
| 18 | 68 | |
| 19 | 7 | |
| 20 | [Effect of urotensin II on proliferative potential and phosphorylation of extracellular signal-regulated kinase 1/2 of adventitial fibroblasts from spontaneously hypertensive rat]. | 4 |
About Hongyan Dai
Hongyan Dai is a scholar working on Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems and Pharmacology, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Apelin-related biomedical research (5 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (4 papers) and Cardiovascular Disease and Adiposity (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (293 citations), Cancer Research (186 citations) and Pharmacology (113 citations). Hongyan Dai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhiming Ge, Lian Jin, Guo Chen, Wei-Qi Song, Ping Sun, Yun Zhang, Jun Guan, Mengxiong Tang, Xiao‐Jing Yu and Mei Dong. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Nutrition and Experimental Brain Research.
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.