Ying Song

109 papers and 959 indexed citations i.

About

Ying Song is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ying Song has authored 109 papers receiving a total of 959 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Surgery, 60 papers in Cardiology and Cardiovascular Medicine and 35 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ying Song’s work include Acute Myocardial Infarction Research (39 papers), Coronary Interventions and Diagnostics (31 papers) and Antiplatelet Therapy and Cardiovascular Diseases (29 papers). Ying Song is often cited by papers focused on Acute Myocardial Infarction Research (39 papers), Coronary Interventions and Diagnostics (31 papers) and Antiplatelet Therapy and Cardiovascular Diseases (29 papers). Ying Song collaborates with scholars based in China, Australia and United States. Ying Song's co-authors include Qifu Li, Shumin Yang, Jinbo Hu, Wenwen He, Xiaofang Tang, Runlin Gao, Bo Xu, Jinqing Yuan, Qingfeng Cheng and Yuejin Yang and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Co-authorship network of co-authors of Ying Song i

Fields of papers citing papers by Ying Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Ying Song

Since Specialization
Citations

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).

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.

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2025