Jun Dai

48 papers and 322 indexed citations i.

About

Jun Dai is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jun Dai has authored 48 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Surgery, 24 papers in Cardiology and Cardiovascular Medicine and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jun Dai’s work include Coronary Interventions and Diagnostics (40 papers), Cardiac Imaging and Diagnostics (14 papers) and Acute Myocardial Infarction Research (12 papers). Jun Dai is often cited by papers focused on Coronary Interventions and Diagnostics (40 papers), Cardiac Imaging and Diagnostics (14 papers) and Acute Myocardial Infarction Research (12 papers). Jun Dai collaborates with scholars based in China and United States. Jun Dai's co-authors include Jue Chen, Yuejin Yang, Yongjian Wu, Haibo Liu, Runlin Gao, Xue‐Wen Qin, Min Yao, Ji‐Lin Chen, Shi-jie You and Shubin Qiao and has published in prestigious journals such as PLoS ONE, Medicine and BMC Microbiology.

In The Last Decade

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

Fields of papers citing papers by Jun Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Dai

Since Specialization
Citations

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