Ying Song
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Epidemiology
- Molecular Biology
- Topics
- Acute Myocardial Infarction Research (39 papers)Coronary Interventions and Diagnostics (34 papers)Antiplatelet Therapy and Cardiovascular Diseases (30 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismCardiology and Cardiovascular MedicineInternal Medicine
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American College of CardiologyPLoS ONE
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Ying Song
106 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 106
- Surgery 488
- Endocrinology, Diabetes and Metabolism 434
- Cardiology and Cardiovascular Medicine 401
- Epidemiology 95
- Molecular Biology 93
Countries citing papers authored by Ying Song
This map shows the geographic impact of Ying Song'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 Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Song more than expected).
Fields of papers citing papers by Ying Song
This network shows the impact of papers produced by Ying Song. 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 Song. The network helps show where Ying Song may publish in the future.
Co-authorship network of co-authors of Ying Song
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Song. A scholar is included among the top collaborators of Ying Song 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 Song. Ying Song 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 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 14 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 22 | |
| 13 | 7 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 12 | |
| 17 | 7 | |
| 18 | 2 | |
| 19 | 8 | |
| 20 | Passive acoustic maternal abdominal fetal heart rate monitoring using wavelet transform | 17 |
About Ying Song
Ying Song is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Internal Medicine, having authored 118 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (39 papers), Coronary Interventions and Diagnostics (34 papers) and Antiplatelet Therapy and Cardiovascular Diseases (30 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (434 citations), Cardiology and Cardiovascular Medicine (401 citations) and Internal Medicine (44 citations). Ying Song has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Shumin Yang, Qifu Li, Jinbo Hu, Wenwen He, Xiaofang Tang, Jinqing Yuan, Bo Xu, Yuejin Yang, Qingfeng Cheng and Xueyan Zhao. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.
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.