Song Yang

85 papers and 1.3k indexed citations i.

About

Song Yang is a scholar working on Epidemiology, Molecular Biology and Hepatology. According to data from OpenAlex, Song Yang has authored 85 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Epidemiology, 21 papers in Molecular Biology and 11 papers in Hepatology. Recurrent topics in Song Yang’s work include Liver Disease Diagnosis and Treatment (21 papers), Alcohol Consumption and Health Effects (7 papers) and Hepatitis C virus research (6 papers). Song Yang is often cited by papers focused on Liver Disease Diagnosis and Treatment (21 papers), Alcohol Consumption and Health Effects (7 papers) and Hepatitis C virus research (6 papers). Song Yang collaborates with scholars based in China, United States and Singapore. Song Yang's co-authors include Yali Lv, Lili Gong, Daolin Zhu, Godfrey Yeung, Lingling Xuan, Lixin Zhang, Wei Sun, Dayong Xia, Zirui Wan and Junpeng Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Hepatology and Cell Metabolism.

In The Last Decade

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

Fields of papers citing papers by Song Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Yang

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025