Taekyoung Kwak

52 total papers · 970 total citations
21 papers, 682 citations indexed

About

Taekyoung Kwak is a scholar working on Molecular Biology, Immunology and Allergy and Cell Biology. According to data from OpenAlex, Taekyoung Kwak has authored 21 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Immunology and Allergy and 6 papers in Cell Biology. Recurrent topics in Taekyoung Kwak's work include Cell Adhesion Molecules Research (8 papers), Glycosylation and Glycoproteins Research (8 papers) and S100 Proteins and Annexins (5 papers). Taekyoung Kwak is often cited by papers focused on Cell Adhesion Molecules Research (8 papers), Glycosylation and Glycoproteins Research (8 papers) and S100 Proteins and Annexins (5 papers). Taekyoung Kwak collaborates with scholars based in South Korea, United States and Slovakia. Taekyoung Kwak's co-authors include Sang Eun Lee, Suyong Choi, Sung‐Hoon Kim, Barry I. Hudson, Ki Hun Park, Minkyung Kang, Oisun Jung, Marc E. Lippman, Mi Ji Lee and Semi Kim and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

In The Last Decade

Taekyoung Kwak

20 papers receiving 680 citations

Author Peers

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

Author Last Decade Papers Cites
Taekyoung Kwak 399 181 163 144 133 21 682
Keiko Tadano‐Aritomi 551 1.4× 110 0.6× 33 0.2× 184 1.3× 81 0.6× 35 727
Dennis M. DiSorbo 429 1.1× 54 0.3× 83 0.5× 125 0.9× 14 0.1× 22 703
Edward Stuttfeld 541 1.4× 64 0.4× 146 0.9× 65 0.5× 34 0.3× 11 735
Lyndee L. Scurr 521 1.3× 134 0.7× 234 1.4× 107 0.7× 32 0.2× 21 760
Susan Goorden 393 1.0× 50 0.3× 57 0.3× 57 0.4× 66 0.5× 27 735
Merei Huigsloot 455 1.1× 76 0.4× 94 0.6× 90 0.6× 67 0.5× 16 671
M. Hunter Lanier 317 0.8× 58 0.3× 58 0.4× 111 0.8× 17 0.1× 19 703
Betty Chan 298 0.7× 207 1.1× 68 0.4× 83 0.6× 13 0.1× 16 667
Adam P. Curnock 287 0.7× 173 1.0× 171 1.0× 28 0.2× 47 0.4× 17 584
Robert Kiss 370 0.9× 166 0.9× 142 0.9× 76 0.5× 39 0.3× 26 714

Countries citing papers authored by Taekyoung Kwak

Since Specialization
Citations

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

Fields of papers citing papers by Taekyoung Kwak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taekyoung Kwak

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