Tai‐Ran Kang

116 total papers · 1.4k total citations
59 papers, 1.2k citations indexed

About

Tai‐Ran Kang is a scholar working on Organic Chemistry, Molecular Biology and Inorganic Chemistry. According to data from OpenAlex, Tai‐Ran Kang has authored 59 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Organic Chemistry, 11 papers in Molecular Biology and 9 papers in Inorganic Chemistry. Recurrent topics in Tai‐Ran Kang's work include Asymmetric Synthesis and Catalysis (20 papers), Catalytic C–H Functionalization Methods (11 papers) and Cyclopropane Reaction Mechanisms (11 papers). Tai‐Ran Kang is often cited by papers focused on Asymmetric Synthesis and Catalysis (20 papers), Catalytic C–H Functionalization Methods (11 papers) and Cyclopropane Reaction Mechanisms (11 papers). Tai‐Ran Kang collaborates with scholars based in China and United States. Tai‐Ran Kang's co-authors include Quan‐Zhong Liu, Long He, Ying‐Chun Chen, Li Wu, Si‐Li Zhou, Ze‐Shui Liu, Lian-Mei Chen, Yongmei Xie, Jinliang Yang and Yan Zhang and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Tai‐Ran Kang

54 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Tai‐Ran Kang 956 178 126 91 84 59 1.2k
Jinbao Xiang 759 0.8× 171 1.0× 106 0.8× 86 0.9× 62 0.7× 56 917
Richard S. Grainger 887 0.9× 98 0.6× 109 0.9× 38 0.4× 63 0.8× 54 1.1k
Rakesh Kumar 587 0.6× 131 0.7× 147 1.2× 137 1.5× 63 0.8× 62 919
Ying Xie 999 1.0× 219 1.2× 224 1.8× 115 1.3× 73 0.9× 64 1.2k
Ying‐Chun Wang 939 1.0× 171 1.0× 100 0.8× 111 1.2× 47 0.6× 65 1.2k
Xiangtai Meng 1.3k 1.3× 154 0.9× 191 1.5× 77 0.8× 58 0.7× 76 1.4k
Jung Min Joo 1.1k 1.1× 107 0.6× 137 1.1× 78 0.9× 130 1.5× 56 1.3k
Ge Zhang 862 0.9× 245 1.4× 261 2.1× 107 1.2× 42 0.5× 59 1.2k
Muriel Durandetti 1.3k 1.4× 73 0.4× 180 1.4× 96 1.1× 42 0.5× 62 1.4k
Ani Deepthi 886 0.9× 151 0.8× 90 0.7× 39 0.4× 40 0.5× 51 1.2k

Countries citing papers authored by Tai‐Ran Kang

Since Specialization
Citations

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

Fields of papers citing papers by Tai‐Ran Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tai‐Ran Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Tai‐Ran Kang. A scholar is included among the top collaborators of Tai‐Ran Kang 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 Tai‐Ran Kang. Tai‐Ran Kang 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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2026