Su Yan

18 papers and 579 indexed citations i.

About

Su Yan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Su Yan has authored 18 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Su Yan’s work include Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (5 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Su Yan is often cited by papers focused on Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (5 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Su Yan collaborates with scholars based in China, United States and Hong Kong. Su Yan's co-authors include Jorge H. Capdevila, Shouzuo Wei, Ambra Pozzi, Roy Zent, Ines Macias‐Perez, John R. Falck, Cheng Liu, Nai‐Kong V. Cheung, Dmitry Pankov and Richard J. O’Reilly and has published in prestigious journals such as Journal of Biological Chemistry, Blood and International Journal of Cancer.

In The Last Decade

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

Fields of papers citing papers by Su Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Su Yan

Since Specialization
Citations

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