Ying-Kai Xu
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Epidemiology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Yujie ZhouYujing ChengQi ZhaoJiaqi YangTingyu ZhangYue MaChi LiuZiwei Zhao
- Topics
- Cardiovascular Function and Risk Factors (6 papers)Acute Myocardial Infarction Research (6 papers)Coronary Interventions and Diagnostics (5 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismCardiology and Cardiovascular MedicineGeriatrics and Gerontology
- Journals
- Ultrasound in Obstetrics and GynecologyCardiovascular DiabetologyNutrition Metabolism and Cardiovascular Diseases
- Partner nations
- ChinaUnited States
In The Last Decade
Ying-Kai Xu
13 papers receiving 377 citations
Peers
Comparison fields: 5 of 49
- Cardiology and Cardiovascular Medicine 231
- Endocrinology, Diabetes and Metabolism 188
- Surgery 96
- Epidemiology 95
- Radiology, Nuclear Medicine and Imaging 73
Countries citing papers authored by Ying-Kai Xu
This map shows the geographic impact of Ying-Kai Xu'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 Ying-Kai Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying-Kai Xu more than expected).
Fields of papers citing papers by Ying-Kai Xu
This network shows the impact of papers produced by Ying-Kai Xu. 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 Ying-Kai Xu. The network helps show where Ying-Kai Xu may publish in the future.
Co-authorship network of co-authors of Ying-Kai Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Ying-Kai Xu. A scholar is included among the top collaborators of Ying-Kai Xu 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 Ying-Kai Xu. Ying-Kai Xu 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 | 5 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 56 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 25 | |
| 9 | 13 | |
| 10 | 127 | |
| 11 | 78 | |
| 12 | 61 | |
| 13 | 1 | |
| 14 | 2 |
About Ying-Kai Xu
Ying-Kai Xu is a scholar working on Cardiology and Cardiovascular Medicine, Geriatrics and Gerontology and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 380 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (6 papers), Acute Myocardial Infarction Research (6 papers) and Coronary Interventions and Diagnostics (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (188 citations), Cardiology and Cardiovascular Medicine (231 citations) and Geriatrics and Gerontology (18 citations). Ying-Kai Xu has collaborated with scholars based in China and United States. Frequent co-authors include Yujie Zhou, Yujing Cheng, Qi Zhao, Jiaqi Yang, Tingyu Zhang, Yue Ma, Chi Liu, Ziwei Zhao, Tienan Sun and Kuo Zhou. Their work appears in journals such as Ultrasound in Obstetrics and Gynecology, Cardiovascular Diabetology and Nutrition Metabolism and Cardiovascular Diseases.
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.