Yun Gao

118 papers and 6.9k indexed citations i.

About

Yun Gao is a scholar working on Physiology, Molecular Biology and Physiology. According to data from OpenAlex, Yun Gao has authored 118 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Physiology, 43 papers in Molecular Biology and 36 papers in Physiology. Recurrent topics in Yun Gao’s work include Adenosine and Purinergic Signaling (50 papers), Pain Mechanisms and Treatments (35 papers) and Cancer-related molecular mechanisms research (21 papers). Yun Gao is often cited by papers focused on Adenosine and Purinergic Signaling (50 papers), Pain Mechanisms and Treatments (35 papers) and Cancer-related molecular mechanisms research (21 papers). Yun Gao collaborates with scholars based in China, Singapore and United States. Yun Gao's co-authors include Akira Yamaguchi, Hideshi Yagi, Yukihiko Kitamura, Roderick T. Bronson, Yūji Shimizu, Motohiko Sato, Koichi Sasaki, Shogo Nomura, Shusaku Yoshiki and Ryoko Okamoto and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Yun Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yun Gao

Since Specialization
Citations

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