Guangping Tai

30 total papers · 2.0k total citations
18 papers, 1.6k citations indexed

About

Guangping Tai is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Guangping Tai has authored 18 papers receiving a total of 1.6k 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 Genetics. Recurrent topics in Guangping Tai's work include Renal and related cancers (4 papers), Plant and Biological Electrophysiology Studies (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), Plant and Biological Electrophysiology Studies (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, Aihua Guo, Bing Song, Akira Suzuki, Peter N. Devreotes, Colin McCaig, John V. Forrester and Teiji Wada and has published in prestigious journals such as Nature, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Guangping Tai

18 papers receiving 1.5k citations

Hit Papers

Electrical signals contro... 2006 2026 2012 2019 2006 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Guangping Tai 981 612 360 245 244 18 1.6k
Yu Gu 945 1.0× 494 0.8× 477 1.3× 263 1.1× 318 1.3× 12 1.5k
Jiping Yue 640 0.7× 613 1.0× 352 1.0× 214 0.9× 44 0.2× 49 2.1k
Thomas I. Zarembinski 743 0.8× 305 0.5× 169 0.5× 46 0.2× 524 2.1× 28 1.7k
Fei Wang 1.5k 1.5× 412 0.7× 509 1.4× 184 0.8× 230 0.9× 25 2.4k
Giovanna Gambarotta 692 0.7× 263 0.4× 799 2.2× 102 0.4× 54 0.2× 68 2.0k
Markus Rimann 1.0k 1.1× 598 1.0× 99 0.3× 64 0.3× 53 0.2× 30 1.7k
Panteleimon Rompolas 1.1k 1.1× 185 0.3× 206 0.6× 326 1.3× 79 0.3× 32 2.2k
John S. Doctor 790 0.8× 271 0.4× 446 1.2× 36 0.1× 135 0.6× 31 1.9k
Luke M. Judge 1.4k 1.4× 361 0.6× 271 0.8× 89 0.4× 41 0.2× 24 1.8k
Zongyou Guo 706 0.7× 601 1.0× 93 0.3× 248 1.0× 26 0.1× 24 1.8k

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).

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.

Co-authorship network of co-authors of Guangping Tai

This figure shows the co-authorship network connecting the top 25 collaborators of Guangping Tai. A scholar is included among the top collaborators of Guangping Tai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guangping Tai. Guangping Tai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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