Tae Gon Kang

86 total papers · 2.0k total citations
60 papers, 1.7k citations indexed

About

Tae Gon Kang is a scholar working on Biomedical Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Tae Gon Kang has authored 60 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Biomedical Engineering, 17 papers in Computational Mechanics and 12 papers in Mechanical Engineering. Recurrent topics in Tae Gon Kang's work include Microfluidic and Capillary Electrophoresis Applications (17 papers), Microfluidic and Bio-sensing Technologies (15 papers) and Injection Molding Process and Properties (11 papers). Tae Gon Kang is often cited by papers focused on Microfluidic and Capillary Electrophoresis Applications (17 papers), Microfluidic and Bio-sensing Technologies (15 papers) and Injection Molding Process and Properties (11 papers). Tae Gon Kang collaborates with scholars based in South Korea, Netherlands and United States. Tae Gon Kang's co-authors include Patrick D. Anderson, Il Keun Kwon, Jaap M. J. den Toonder, Craig J. Hawker, H.E.H. Meijer, Martien A. Hulsen, Mrityunjay Singh, Kato L. Killops, Kulandaivelu Sivanandan and Seon Yeop Jung and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Tae Gon Kang

58 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Tae Gon Kang 829 334 238 235 226 60 1.7k
James S. Sharp 528 0.6× 142 0.4× 242 1.0× 415 1.8× 259 1.1× 59 1.8k
Sei Jin Park 604 0.7× 126 0.4× 118 0.5× 303 1.3× 202 0.9× 67 1.8k
Thomas E. Kodger 682 0.8× 271 0.8× 165 0.7× 332 1.4× 194 0.9× 69 1.7k
Gavin A. Buxton 314 0.4× 271 0.8× 459 1.9× 250 1.1× 158 0.7× 53 1.5k
Ye Wang 866 1.0× 129 0.4× 127 0.5× 471 2.0× 124 0.5× 48 1.9k
Joëlle Fréchette 525 0.6× 134 0.4× 73 0.3× 433 1.8× 304 1.3× 65 1.4k
Malcolm R. Mackley 820 1.0× 193 0.6× 478 2.0× 219 0.9× 67 0.3× 64 1.9k
James S. Oakdale 785 0.9× 742 2.2× 143 0.6× 300 1.3× 69 0.3× 43 2.1k
Catherine Barentin 401 0.5× 194 0.6× 87 0.4× 122 0.5× 503 2.2× 43 1.8k
Liliane Léger 428 0.5× 151 0.5× 417 1.8× 156 0.7× 384 1.7× 52 1.7k

Countries citing papers authored by Tae Gon Kang

Since Specialization
Citations

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

Fields of papers citing papers by Tae Gon Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae Gon 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 Tae Gon Kang. The network helps show where Tae Gon Kang may publish in the future.

Co-authorship network of co-authors of Tae Gon Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Tae Gon Kang. A scholar is included among the top collaborators of Tae Gon 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 Tae Gon Kang. Tae Gon 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