Qing Dai

29 papers and 469 indexed citations i.

About

Qing Dai is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Epidemiology. According to data from OpenAlex, Qing Dai has authored 29 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 7 papers in Surgery and 6 papers in Epidemiology. Recurrent topics in Qing Dai’s work include Cardiac Imaging and Diagnostics (5 papers), Cardiac Valve Diseases and Treatments (4 papers) and Cholesterol and Lipid Metabolism (3 papers). Qing Dai is often cited by papers focused on Cardiac Imaging and Diagnostics (5 papers), Cardiac Valve Diseases and Treatments (4 papers) and Cholesterol and Lipid Metabolism (3 papers). Qing Dai collaborates with scholars based in China, United States and South Korea. Qing Dai's co-authors include Fengjun Sun, Dinglin Zhang, Richard A. Hiipakka, Catherine A. Reardon, Godfrey S. Getz, Dacheng Peng, Shutsung Liao, Wei Feng, Yuan Qian and Xiaoyu Li and has published in prestigious journals such as Annals of Internal Medicine, Scientific Reports and The American Journal of Cardiology.

In The Last Decade

Co-authorship network of co-authors of Qing Dai i

Fields of papers citing papers by Qing Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qing Dai. 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 Qing Dai. The network helps show where Qing Dai may publish in the future.

Countries citing papers authored by Qing Dai

Since Specialization
Citations

This map shows the geographic impact of Qing Dai'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 Qing Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Dai 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