Chao-Yuh Yang

22 papers and 1.6k indexed citations i.

About

Chao-Yuh Yang is a scholar working on Molecular Biology, Surgery and Immunology. According to data from OpenAlex, Chao-Yuh Yang has authored 22 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Surgery and 6 papers in Immunology. Recurrent topics in Chao-Yuh Yang’s work include Atherosclerosis and Cardiovascular Diseases (6 papers), Lipoproteins and Cardiovascular Health (5 papers) and Machine Learning in Bioinformatics (4 papers). Chao-Yuh Yang is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (6 papers), Lipoproteins and Cardiovascular Health (5 papers) and Machine Learning in Bioinformatics (4 papers). Chao-Yuh Yang collaborates with scholars based in United States, Taiwan and Belgium. Chao-Yuh Yang's co-authors include Antonio M. Gotto, Zi-Wei Gu, Maryvonne Rosseneu, Lawrence Chan, Wen‐Hsiung Li, J.P. Deslypère, Geetha M. Habib, Steven R. Silberman, Chu‐Huang Chen and Henry J. Pownall and has published in prestigious journals such as Nature, Science and Circulation.

In The Last Decade

Co-authorship network of co-authors of Chao-Yuh Yang i

Fields of papers citing papers by Chao-Yuh Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao-Yuh Yang. 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 Chao-Yuh Yang. The network helps show where Chao-Yuh Yang may publish in the future.

Countries citing papers authored by Chao-Yuh Yang

Since Specialization
Citations

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