Kai Tang

77 total papers · 1.7k total citations
47 papers, 1.3k citations indexed

About

Kai Tang is a scholar working on Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kai Tang has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 9 papers in Immunology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kai Tang's work include Peptidase Inhibition and Analysis (4 papers), Protein Tyrosine Phosphatases (4 papers) and Galectins and Cancer Biology (4 papers). Kai Tang is often cited by papers focused on Peptidase Inhibition and Analysis (4 papers), Protein Tyrosine Phosphatases (4 papers) and Galectins and Cancer Biology (4 papers). Kai Tang collaborates with scholars based in China, Singapore and United States. Kai Tang's co-authors include Bin Yu, Yihui Song, Yahong Wu, Yun‐Jiu Cheng, Lijuan Liu, Su‐Hua Wu, Luis Miguel Dos Santos, Xiao‐Xiong Lin, Hong‐Min Liu and Wu‐Tao Zeng and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Journal of the American College of Cardiology.

In The Last Decade

Kai Tang

42 papers receiving 1.3k citations

Hit Papers

Indoleamine 2,3-dioxygena... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Kai Tang 578 223 181 170 151 47 1.3k
Fabrício Rios-Santos 532 0.9× 131 0.6× 274 1.5× 123 0.7× 213 1.4× 41 1.8k
Zakir Khan 618 1.1× 211 0.9× 296 1.6× 192 1.1× 168 1.1× 52 1.5k
M. Wade Calcutt 832 1.4× 121 0.5× 74 0.4× 194 1.1× 123 0.8× 56 1.8k
Anton Cerar 579 1.0× 141 0.6× 220 1.2× 221 1.3× 118 0.8× 28 1.7k
Zhengfang Lin 408 0.7× 87 0.4× 126 0.7× 54 0.3× 124 0.8× 36 1.5k
Javed Khan 358 0.6× 70 0.3× 203 1.1× 212 1.2× 262 1.7× 53 1.1k
David A. Hutton 517 0.9× 160 0.7× 154 0.9× 102 0.6× 69 0.5× 55 1.4k
Ghazi A. Damanhouri 493 0.9× 44 0.2× 173 1.0× 114 0.7× 247 1.6× 67 1.7k
J. De Crée 215 0.4× 246 1.1× 178 1.0× 53 0.3× 103 0.7× 55 1.1k
Young‐A Heo 554 1.0× 166 0.7× 158 0.9× 214 1.3× 253 1.7× 52 1.8k

Countries citing papers authored by Kai Tang

Since Specialization
Citations

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

Fields of papers citing papers by Kai Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Tang. A scholar is included among the top collaborators of Kai Tang 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 Kai Tang. Kai Tang 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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