Guangping Tai

18 papers and 1.5k indexed citations i.

About

Guangping Tai is a scholar working on Molecular Biology, Surgery and Plant Science. According to data from OpenAlex, Guangping Tai has authored 18 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Plant Science. Recurrent topics in Guangping Tai’s work include Renal and related cancers (4 papers), Bone Metabolism and Diseases (3 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Guangping Tai is often cited by papers focused on Renal and related cancers (4 papers), Bone Metabolism and Diseases (3 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Guangping Tai collaborates with scholars based in United Kingdom, China and United States. Guangping Tai's co-authors include Min Zhao, Brian Reid, Julia M. Polak, Ioannis Christodoulou, Aihua Guo, Petr Walczysko, Akira Suzuki, Fei Wang, Colin McCaig and Yu Gu and has published in prestigious journals such as Nature, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Co-authorship network of co-authors of Guangping Tai i

Fields of papers citing papers by Guangping Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guangping Tai

Since Specialization
Citations

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