Liying Xing
- Cardiology and Cardiovascular Medicine top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Epidemiology
- Pulmonary and Respiratory Medicine top 10%
- Surgery
- Co-authors
- Alberto AvolioYingxian LuoMichael F. O’RourkeZhe HuangYuanmeng TianJing LiZhi DuMin Lin
- Topics
- Blood Pressure and Hypertension Studies (19 papers)Cardiovascular Health and Disease Prevention (19 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismNutrition and Dietetics
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Liying Xing
50 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Cardiology and Cardiovascular Medicine 851
- Endocrinology, Diabetes and Metabolism 221
- Epidemiology 205
- Pulmonary and Respiratory Medicine 201
- Surgery 162
Countries citing papers authored by Liying Xing
This map shows the geographic impact of Liying Xing'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 Liying Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liying Xing more than expected).
Fields of papers citing papers by Liying Xing
This network shows the impact of papers produced by Liying Xing. 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 Liying Xing. The network helps show where Liying Xing may publish in the future.
Co-authorship network of co-authors of Liying Xing
This figure shows the co-authorship network connecting the top 25 collaborators of Liying Xing. A scholar is included among the top collaborators of Liying Xing 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 Liying Xing. Liying Xing 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 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 6 | |
| 11 | 42 | |
| 12 | 8 | |
| 13 | 0 | |
| 14 | 31 | |
| 15 | 6 | |
| 16 | 8 | |
| 17 | 2 | |
| 18 | Hypertension prevalence and its awareness,medication and control among rural residents in Liaoning province | 2 |
| 19 | 42 | |
| 20 | 26 |
About Liying Xing
Liying Xing is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Rehabilitation, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (19 papers), Cardiovascular Health and Disease Prevention (19 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (851 citations), Endocrinology, Diabetes and Metabolism (221 citations) and Nutrition and Dietetics (135 citations). Liying Xing has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Alberto Avolio, Yingxian Luo, Michael F. O’Rourke, Zhe Huang, Yuanmeng Tian, Jing Li, Zhi Du, Min Lin, Qun Sun and Dong Dai. Their work appears in journals such as Circulation, BMJ and International Journal of Cancer.
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.