Gao S

115 papers and 3.4k indexed citations i.

About

Gao S is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Gao S has authored 115 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 19 papers in Physiology and 17 papers in Epidemiology. Recurrent topics in Gao S’s work include Bone Metabolism and Diseases (15 papers), Adipose Tissue and Metabolism (12 papers) and Adipokines, Inflammation, and Metabolic Diseases (10 papers). Gao S is often cited by papers focused on Bone Metabolism and Diseases (15 papers), Adipose Tissue and Metabolism (12 papers) and Adipokines, Inflammation, and Metabolic Diseases (10 papers). Gao S collaborates with scholars based in China, Canada and United States. Gao S's co-authors include Dongwei Zhang, Ruyuan Zhu, Jianzhao Niu, Min Fu, Rufeng Ma, Ka Sing Wong, Fangfang Mo, Beibei Chen, Dandan Zhao and Jun‐Li Liu and has published in prestigious journals such as Circulation, PLoS ONE and Neurology.

In The Last Decade

Co-authorship network of co-authors of Gao S i

Fields of papers citing papers by Gao S

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gao S

Since Specialization
Citations

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