Su Wang

38 papers and 969 indexed citations i.

About

Su Wang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Su Wang has authored 38 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Cardiology and Cardiovascular Medicine and 7 papers in Epidemiology. Recurrent topics in Su Wang’s work include Cardiac Ischemia and Reperfusion (3 papers), Ion channel regulation and function (3 papers) and Cardiac Imaging and Diagnostics (2 papers). Su Wang is often cited by papers focused on Cardiac Ischemia and Reperfusion (3 papers), Ion channel regulation and function (3 papers) and Cardiac Imaging and Diagnostics (2 papers). Su Wang collaborates with scholars based in United States, China and Canada. Su Wang's co-authors include Yael Yaniv, Hanne Nuss, Steven J. Sollott, Magdalena Juhaszova, Dmitry B. Zorov, Harry B. Greenberg, Nabil El‐Sherif, Mohamed Boutjdir, Boyu Huang and J C Santoro and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Circulation Research.

In The Last Decade

Co-authorship network of co-authors of Su Wang i

Fields of papers citing papers by Su Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Su Wang

Since Specialization
Citations

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