Song Lin

71 papers and 2.4k indexed citations i.

About

Song Lin is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Song Lin has authored 71 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Surgery, 18 papers in Cardiology and Cardiovascular Medicine and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Song Lin’s work include Coronary Interventions and Diagnostics (19 papers), Cardiac Imaging and Diagnostics (12 papers) and Acute Kidney Injury Research (7 papers). Song Lin is often cited by papers focused on Coronary Interventions and Diagnostics (19 papers), Cardiac Imaging and Diagnostics (12 papers) and Acute Kidney Injury Research (7 papers). Song Lin collaborates with scholars based in China, United States and Singapore. Song Lin's co-authors include Junjie Zhang, Shao‐Liang Chen, Fei Ye, Shoujie Shan, Jun Qian, Fang Wu-wang, Lianming Liao, Yuhao Liu, Jingping Sun and Zhizhong Liu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

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

Fields of papers citing papers by Song Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Lin

Since Specialization
Citations

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