Tae‐Ik Choi

38 total papers · 1.3k total citations
25 papers, 737 citations indexed

About

Tae‐Ik Choi is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Tae‐Ik Choi has authored 25 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Cell Biology and 5 papers in Genetics. Recurrent topics in Tae‐Ik Choi's work include Zebrafish Biomedical Research Applications (8 papers), Microtubule and mitosis dynamics (3 papers) and Ubiquitin and proteasome pathways (3 papers). Tae‐Ik Choi is often cited by papers focused on Zebrafish Biomedical Research Applications (8 papers), Microtubule and mitosis dynamics (3 papers) and Ubiquitin and proteasome pathways (3 papers). Tae‐Ik Choi collaborates with scholars based in South Korea, United States and Canada. Tae‐Ik Choi's co-authors include Cheol‐Hee Kim, Yu‐Ri Lee, Tae‐Young Choi, Seong‐Kyu Choe, Soo Young Jun, Suman Lee, Nam-Soon Kim, Jong‐Su Park, Andrew J. Brown and Jin Ok Yang and has published in prestigious journals such as Gastroenterology, Development and Scientific Reports.

In The Last Decade

Tae‐Ik Choi

24 papers receiving 734 citations

Hit Papers

Zebrafish as an animal mo... 2021 2026 2022 2024 2021 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Tae‐Ik Choi 307 261 107 67 66 25 737
Noriko Umemoto 369 1.2× 393 1.5× 77 0.7× 93 1.4× 40 0.6× 19 896
Igor Kondrychyn 480 1.6× 257 1.0× 51 0.5× 54 0.8× 124 1.9× 23 773
Shota Sasagawa 262 0.9× 187 0.7× 86 0.8× 54 0.8× 42 0.6× 24 645
Richard G. Skalko 301 1.0× 186 0.7× 37 0.3× 63 0.9× 101 1.5× 29 811
Wen Lin Seng 426 1.4× 366 1.4× 132 1.2× 86 1.3× 31 0.5× 11 795
Robert N. Wilkinson 531 1.7× 378 1.4× 58 0.5× 122 1.8× 116 1.8× 26 908
Ryan Martin 564 1.8× 145 0.6× 151 1.4× 54 0.8× 106 1.6× 31 869
Wen‐Der Wang 325 1.1× 175 0.7× 65 0.6× 30 0.4× 50 0.8× 30 647
Gabor Kari 304 1.0× 225 0.9× 64 0.6× 65 1.0× 52 0.8× 17 734
James E. N. Minchin 443 1.4× 201 0.8× 55 0.5× 72 1.1× 149 2.3× 19 895

Countries citing papers authored by Tae‐Ik Choi

Since Specialization
Citations

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

Fields of papers citing papers by Tae‐Ik Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae‐Ik Choi. 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‐Ik Choi. The network helps show where Tae‐Ik Choi may publish in the future.

Co-authorship network of co-authors of Tae‐Ik Choi

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