Yun Kee

1.9k total citations
37 papers, 1.6k citations indexed

About

Yun Kee is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Yun Kee has authored 37 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 18 papers in Cell Biology and 6 papers in Genetics. Recurrent topics in Yun Kee's work include Zebrafish Biomedical Research Applications (9 papers), Congenital heart defects research (8 papers) and Developmental Biology and Gene Regulation (8 papers). Yun Kee is often cited by papers focused on Zebrafish Biomedical Research Applications (9 papers), Congenital heart defects research (8 papers) and Developmental Biology and Gene Regulation (8 papers). Yun Kee collaborates with scholars based in South Korea, United States and Qatar. Yun Kee's co-authors include Richard H. Scheller, Marianne Bronner‐Fraser, Christopher D. Hazuka, Shu-Chan Hsu, Shu-Chan Hsu, Richard Lin, Svend Davanger, James W. Kenny, Anthony E. Ting and Davide Foletti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Nature Genetics.

In The Last Decade

Yun Kee

37 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yun Kee South Korea 19 1.2k 856 233 188 127 37 1.6k
Arne Nystuen United States 19 1.4k 1.2× 706 0.8× 275 1.2× 215 1.1× 115 0.9× 28 2.3k
Jiro Toshima Japan 20 877 0.8× 715 0.8× 105 0.5× 104 0.6× 101 0.8× 43 1.4k
Thomas Weide Germany 25 1.1k 1.0× 1.0k 1.2× 136 0.6× 232 1.2× 186 1.5× 56 2.1k
Robert Kopajtich Germany 16 1.4k 1.2× 1.4k 1.6× 106 0.5× 132 0.7× 152 1.2× 30 2.0k
Lindsay K. MacDougall United Kingdom 12 1.3k 1.1× 547 0.6× 223 1.0× 72 0.4× 173 1.4× 15 1.6k
A. Edwards United States 13 1.3k 1.1× 537 0.6× 253 1.1× 101 0.5× 88 0.7× 14 1.7k
Yuki Muranishi Japan 16 1.1k 0.9× 642 0.8× 191 0.8× 152 0.8× 172 1.4× 35 1.9k
Tomoyuki Yamanaka Japan 19 1.7k 1.4× 1.1k 1.3× 341 1.5× 134 0.7× 129 1.0× 46 2.3k
Maria Grazia Giansanti Italy 26 1.6k 1.4× 1.5k 1.7× 130 0.6× 233 1.2× 128 1.0× 55 2.1k
Yu Hisano Japan 18 1.6k 1.4× 620 0.7× 66 0.3× 203 1.1× 189 1.5× 19 1.8k

Countries citing papers authored by Yun Kee

Since Specialization
Citations

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

Fields of papers citing papers by Yun Kee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Kee

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Kee. A scholar is included among the top collaborators of Yun Kee 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 Yun Kee. Yun Kee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lee, Eun Hye, et al.. (2024). Assessment of the Novel Anti-Seizure Potential of Validamycin A Using Zebrafish Epilepsy Model. Molecules. 29(11). 2572–2572. 2 indexed citations
2.
Lee, Yu‐Ri, Se Hee Kim, Tae‐Ik Choi, et al.. (2021). Eif2b3 mutants recapitulate phenotypes of vanishing white matter disease and validate novel disease alleles in zebrafish. Human Molecular Genetics. 30(5). 331–342. 12 indexed citations
3.
Choe, Chong Pyo, Seok‐Yong Choi, Yun Kee, et al.. (2021). Transgenic fluorescent zebrafish lines that have revolutionized biomedical research. SHILAP Revista de lepidopterología. 37(1). 26–26. 55 indexed citations
4.
Kwon, Seung‐Hae, et al.. (2019). 3D light-sheet assay assessing novel valproate-associated cardiotoxicity and folic acid relief in zebrafish embryogenesis. Chemosphere. 227. 551–560. 12 indexed citations
5.
Hwang, Byung Joon, et al.. (2019). Promoter cross-talk affects the inducible expression of intronic shRNAs from the tetracycline response element. Genes & Genomics. 41(4). 483–490. 3 indexed citations
6.
Park, Ok Kyu, Seung‐Hae Kwon, Sung Ho Jeon, et al.. (2015). Nanobody-targeted E3-ubiquitin ligase complex degrades nuclear proteins. Scientific Reports. 5(1). 14269–14269. 83 indexed citations
7.
Park, Ok Kyu, Young Ho Kim, Hyun‐Seok Hong, et al.. (2015). 3D Light-Sheet Fluorescence Microscopy of Cranial Neurons and Vasculature during Zebrafish Embryogenesis. Molecules and Cells. 38(11). 975–981. 20 indexed citations
8.
Park, Ok Kyu, et al.. (2013). Live Image Profiling of Neural Crest Lineages in Zebrafish Transgenic Lines. Molecules and Cells. 35(3). 255–260. 19 indexed citations
9.
Nie, Shuyi, Yun Kee, & Marianne Bronner‐Fraser. (2011). Caldesmon regulates actin dynamics to influence cranial neural crest migration inXenopus. Molecular Biology of the Cell. 22(18). 3355–3365. 13 indexed citations
10.
Kee, Yun, et al.. (2009). A uniplanar three-axis gradient set for in vivo magnetic resonance microscopy. Journal of Magnetic Resonance. 200(1). 38–48. 9 indexed citations
11.
Nie, Shuyi, Yun Kee, & Marianne Bronner‐Fraser. (2009). Myosin-X is critical for migratory ability of Xenopus cranial neural crest cells. Developmental Biology. 335(1). 132–142. 31 indexed citations
12.
Kee, Yun, Byung Joon Hwang, Paul W. Sternberg, & Marianne Bronner‐Fraser. (2007). Evolutionary conservation of cell migration genes: from nematode neurons to vertebrate neural crest. Genes & Development. 21(4). 391–396. 29 indexed citations
13.
Kee, Yun & Marianne Bronner‐Fraser. (2005). To proliferate or to die: role of Id3 in cell cycle progression and survival of neural crest progenitors. Genes & Development. 19(6). 744–755. 87 indexed citations
14.
Kee, Yun & Marianne Bronner‐Fraser. (2001). The transcriptional regulator Id3 is expressed in cranial sensory placodes during early avian embryonic development. Mechanisms of Development. 109(2). 337–340. 21 indexed citations
15.
Kee, Yun & Marianne Bronner‐Fraser. (2001). Temporally and spatially restricted expression of the helix–loop–helix transcriptional regulator Id1 during avian embryogenesis. Mechanisms of Development. 109(2). 331–335. 28 indexed citations
16.
Hsu, Shu-Chan, Anthony E. Ting, Christopher D. Hazuka, et al.. (1996). The Mammalian Brain rsec6/8 Complex. Neuron. 17(6). 1209–1219. 232 indexed citations
17.
Kee, Yun, Richard Lin, Shu-Chan Hsu, & Richard H. Scheller. (1995). Distinct domains of syntaxin are required for synaptic vesicle fusion complex formation and dissociation. Neuron. 14(5). 991–998. 179 indexed citations
18.
Nelson, Stanley F., John H. McCusker, Mark A. Sander, et al.. (1993). Genomic mismatch scanning: a new approach to genetic linkage mapping. Nature Genetics. 4(1). 11–18. 103 indexed citations
19.
Kee, Yun, et al.. (1988). Relation of the Activities of Plasminogen Activator and Plasmin-like Protease with Malignant Behavior of Skin Tumor of Rats. 31(3). 185–190. 1 indexed citations
20.
Kee, Yun, Young S. Lee, Chin Ha Chung, Lloyd Waxman, & Alfred L. Goldberg. (1988). Improved methods for purification and assay of glycerol kinase from Escherichia coli. Journal of Chromatography B Biomedical Sciences and Applications. 428(2). 345–351. 1 indexed citations

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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