Guang Song

24 papers and 627 indexed citations i.

About

Guang Song is a scholar working on Molecular Biology, Epidemiology and Rheumatology. According to data from OpenAlex, Guang Song has authored 24 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Epidemiology and 6 papers in Rheumatology. Recurrent topics in Guang Song’s work include Systemic Lupus Erythematosus Research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Advanced Biosensing Techniques and Applications (4 papers). Guang Song is often cited by papers focused on Systemic Lupus Erythematosus Research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Advanced Biosensing Techniques and Applications (4 papers). Guang Song collaborates with scholars based in China, United States and Taiwan. Guang Song's co-authors include Heng Zhu, Yafei Yin, Xiaohua Shen, Yi Zhao, Pixi Yan, Xingxu Huang, Stuart H. Orkin, Zhaohui Li, Bin Shen and Yangyang Zhu and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

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

Fields of papers citing papers by Guang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guang Song

Since Specialization
Citations

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