Song Ding

68 papers and 1.4k indexed citations i.

About

Song Ding is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Song Ding has authored 68 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cardiology and Cardiovascular Medicine, 28 papers in Surgery and 25 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Song Ding’s work include Cardiac Imaging and Diagnostics (22 papers), Acute Myocardial Infarction Research (20 papers) and Coronary Interventions and Diagnostics (12 papers). Song Ding is often cited by papers focused on Cardiac Imaging and Diagnostics (22 papers), Acute Myocardial Infarction Research (20 papers) and Coronary Interventions and Diagnostics (12 papers). Song Ding collaborates with scholars based in China, United States and Hong Kong. Song Ding's co-authors include Jun Pu, Kieran Ryan, Joanna B. Goldberg, Sheila E. Crowe, Ann Marie Fitzmaurice, Guolian Li, Michael F. Smith, Yichao Zhao, Ben He and Ancai Yuan and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Gastroenterology.

In The Last Decade

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

Fields of papers citing papers by Song Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Ding

Since Specialization
Citations

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