Mei‐Shu Lin

15 papers and 408 indexed citations i.

About

Mei‐Shu Lin is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Mei‐Shu Lin has authored 15 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 5 papers in Pathology and Forensic Medicine and 4 papers in Epidemiology. Recurrent topics in Mei‐Shu Lin’s work include Cardiac Ischemia and Reperfusion (5 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Mei‐Shu Lin is often cited by papers focused on Cardiac Ischemia and Reperfusion (5 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Mei‐Shu Lin collaborates with scholars based in Taiwan. Mei‐Shu Lin's co-authors include Tsung‐Ming Lee, Nen-Chung Chang, Chang‐Her Tsai, Tsai‐Fwu Chou, Chen‐Ling Huang, Nen‐Chung Chang, Chun‐Ming Shih, Kuan‐Yu Hung, Chi‐Chuan Wang and Shih‐Tsung Huang and has published in prestigious journals such as Journal of the American College of Cardiology, The FASEB Journal and Endocrinology.

In The Last Decade

Co-authorship network of co-authors of Mei‐Shu Lin i

Fields of papers citing papers by Mei‐Shu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mei‐Shu Lin

Since Specialization
Citations

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