Yun Dai Chen
- Cardiology and Cardiovascular Medicine top 10%
- Pathology and Forensic Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Surgery
- Co-authors
- Wei Ren ChenYuan ShaFeng TianYang ShiQing NingPing ZhuJing WangHongbin Liu
- Topics
- Vitamin D Research Studies (4 papers)Acute Myocardial Infarction Research (4 papers)Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismPathology and Forensic MedicineCardiology and Cardiovascular Medicine
- Journals
- Scientific ReportsBiochemical and Biophysical Research CommunicationsAmerican Heart Journal
- Partner nations
- ChinaPhilippinesUnited States
In The Last Decade
Yun Dai Chen
21 papers receiving 504 citations
Peers
Comparison fields: 5 of 81
- Cardiology and Cardiovascular Medicine 182
- Pathology and Forensic Medicine 172
- Endocrinology, Diabetes and Metabolism 163
- Molecular Biology 129
- Surgery 86
Countries citing papers authored by Yun Dai Chen
This map shows the geographic impact of Yun Dai Chen'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 Yun Dai Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Dai Chen more than expected).
Fields of papers citing papers by Yun Dai Chen
This network shows the impact of papers produced by Yun Dai Chen. 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 Yun Dai Chen. The network helps show where Yun Dai Chen may publish in the future.
Co-authorship network of co-authors of Yun Dai Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Yun Dai Chen. A scholar is included among the top collaborators of Yun Dai Chen 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 Yun Dai Chen. Yun Dai Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 69 | |
| 6 | 3 | |
| 7 | 10 | |
| 8 | 82 | |
| 9 | 6 | |
| 10 | 10 | |
| 11 | 22 | |
| 12 | 38 | |
| 13 | 102 | |
| 14 | 11 | |
| 15 | 5 | |
| 16 | 3 | |
| 17 | 36 | |
| 18 | 50 | |
| 19 | 33 | |
| 20 | 12 |
About Yun Dai Chen
Yun Dai Chen is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 22 papers that have together received 517 indexed citations. Recurring topics across this work include Vitamin D Research Studies (4 papers), Acute Myocardial Infarction Research (4 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (163 citations), Pathology and Forensic Medicine (172 citations) and Cardiology and Cardiovascular Medicine (182 citations). Yun Dai Chen has collaborated with scholars based in China, Philippines and United States. Frequent co-authors include Wei Ren Chen, Yuan Sha, Feng Tian, Yang Shi, Qing Ning, Ping Zhu, Jing Wang, Hongbin Liu, Qiang Ma and Yang Mu. Their work appears in journals such as Scientific Reports, Biochemical and Biophysical Research Communications and American Heart Journal.
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.