Guang Liang

370 papers and 10.2k indexed citations i.

About

Guang Liang is a scholar working on Molecular Biology, Immunology and Organic Chemistry. According to data from OpenAlex, Guang Liang has authored 370 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 190 papers in Molecular Biology, 91 papers in Immunology and 49 papers in Organic Chemistry. Recurrent topics in Guang Liang’s work include Curcumin's Biomedical Applications (46 papers), Immune Response and Inflammation (45 papers) and Fibroblast Growth Factor Research (31 papers). Guang Liang is often cited by papers focused on Curcumin's Biomedical Applications (46 papers), Immune Response and Inflammation (45 papers) and Fibroblast Growth Factor Research (31 papers). Guang Liang collaborates with scholars based in China, United States and Thailand. Guang Liang's co-authors include Xiaokun Li, Zhiguo Liu, Yi Wang, Shulin Yang, Chengguang Zhao, Wu Luo, Lingfeng Chen, Yali Zhang, Yi Wang and Gaozhi Chen and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Guang Liang i

Fields of papers citing papers by Guang Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guang Liang

Since Specialization
Citations

This map shows the geographic impact of Guang Liang'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 Guang Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guang Liang 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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2025