Key‐Hwan Lim

1.2k total citations
63 papers, 875 citations indexed

About

Key‐Hwan Lim is a scholar working on Molecular Biology, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Key‐Hwan Lim has authored 63 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 16 papers in Materials Chemistry and 12 papers in Biomedical Engineering. Recurrent topics in Key‐Hwan Lim's work include Ubiquitin and proteasome pathways (13 papers), High voltage insulation and dielectric phenomena (10 papers) and Dielectric materials and actuators (6 papers). Key‐Hwan Lim is often cited by papers focused on Ubiquitin and proteasome pathways (13 papers), High voltage insulation and dielectric phenomena (10 papers) and Dielectric materials and actuators (6 papers). Key‐Hwan Lim collaborates with scholars based in South Korea, United States and Poland. Key‐Hwan Lim's co-authors include Kwang‐Hyun Baek, Jae‐Yeol Joo, Sumin Yang, Suresh Ramakrishna, Sung‐Hyun Kim, Bharathi Suresh, Sang Gyu Park, Byung Hwa Hyun, Kwang Soo Kim and Sora Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Key‐Hwan Lim

59 papers receiving 861 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Key‐Hwan Lim South Korea 19 637 180 155 76 74 63 875
Jiawei Liao China 17 308 0.5× 125 0.7× 68 0.4× 119 1.6× 79 1.1× 52 749
Zheyi Han China 19 484 0.8× 245 1.4× 169 1.1× 54 0.7× 137 1.9× 62 1.2k
Yong Jiang China 18 692 1.1× 303 1.7× 120 0.8× 36 0.5× 65 0.9× 59 1.1k
Cathérine Ghezzi France 19 482 0.8× 158 0.9× 158 1.0× 152 2.0× 93 1.3× 95 1.5k
Guiying Wang China 15 388 0.6× 176 1.0× 135 0.9× 60 0.8× 28 0.4× 46 718
Yuanbo Cui China 19 787 1.2× 450 2.5× 70 0.5× 45 0.6× 51 0.7× 47 1.0k
R. Kudo Japan 15 289 0.5× 124 0.7× 120 0.8× 32 0.4× 148 2.0× 70 908
Junhe Zhang China 17 547 0.9× 147 0.8× 103 0.7× 37 0.5× 54 0.7× 75 935

Countries citing papers authored by Key‐Hwan Lim

Since Specialization
Citations

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

Fields of papers citing papers by Key‐Hwan Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Key‐Hwan Lim. 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 Key‐Hwan Lim. The network helps show where Key‐Hwan Lim may publish in the future.

Co-authorship network of co-authors of Key‐Hwan Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Key‐Hwan Lim. A scholar is included among the top collaborators of Key‐Hwan Lim 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 Key‐Hwan Lim. Key‐Hwan Lim 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.
Yang, Sumin, Hyojung Kim, Dang-Khoa Vo, et al.. (2025). Preclinical studies and transcriptome analysis in a model of Parkinson’s disease with dopaminergic ZNF746 expression. Molecular Neurodegeneration. 20(1). 24–24. 6 indexed citations
2.
3.
Yu, Ji Eun, et al.. (2024). Transport of Golgi-localized β-catenin p-S47 by KIF11 or KIFC3 induces primary ciliogenesis. Molecules and Cells. 47(12). 100142–100142. 2 indexed citations
4.
Ryu, H., et al.. (2024). Targeted demethylation of cathepsin D via epigenome editing rescues pathology in Alzheimer's disease mouse model. Theranostics. 15(2). 428–438. 4 indexed citations
5.
Kim, Bo-Young, Ji Eun Yu, In Jun Yeo, et al.. (2023). (E)-2-methoxy-4-(3-(4-methoxyphenyl)prop-1-en-1-yl)phenol alleviates inflammatory responses in LPS-induced mice liver sepsis through inhibition of STAT3 phosphorylation. International Immunopharmacology. 125(Pt A). 111124–111124. 2 indexed citations
6.
Kim, Sung-Hyun, Sumin Yang, Key‐Hwan Lim, et al.. (2021). Prediction of Alzheimer’s disease-specific phospholipase c gamma-1 SNV by deep learning-based approach for high-throughput screening. Proceedings of the National Academy of Sciences. 118(3). 18 indexed citations
7.
Joo, Jae‐Yeol, Key‐Hwan Lim, Sumin Yang, et al.. (2021). Prediction of genetic alteration of phospholipase C isozymes in brain disorders: Studies with deep learning. Advances in Biological Regulation. 82. 100833–100833. 5 indexed citations
8.
Kim, Sung‐Hyun, Key‐Hwan Lim, Sumin Yang, & Jae‐Yeol Joo. (2021). Long non-coding RNAs in brain tumors: roles and potential as therapeutic targets. Journal of Hematology & Oncology. 14(1). 77–77. 44 indexed citations
9.
Yang, Sumin, Key‐Hwan Lim, Sung‐Hyun Kim, & Jae‐Yeol Joo. (2020). Molecular landscape of long noncoding RNAs in brain disorders. Molecular Psychiatry. 26(4). 1060–1074. 47 indexed citations
10.
Lim, Key‐Hwan, Jae‐Yeol Joo, & Kwang‐Hyun Baek. (2020). The potential roles of deubiquitinating enzymes in brain diseases. Ageing Research Reviews. 61. 101088–101088. 43 indexed citations
11.
Choi, Joon‐Seok, et al.. (2019). MED28 Over-Expression Shortens the Cell Cycle and Induces Genomic Instability. International Journal of Molecular Sciences. 20(7). 1746–1746. 7 indexed citations
12.
Hong, Shin Hee, et al.. (2016). Tauroursodeoxycholic acid improves viability of artificial RBCs. Biochemical and Biophysical Research Communications. 478(4). 1682–1687. 2 indexed citations
13.
Lim, Key‐Hwan, et al.. (2016). Decision for cell fate: deubiquitinating enzymes in cell cycle checkpoint. Cellular and Molecular Life Sciences. 73(7). 1439–1455. 36 indexed citations
14.
Kim, Sora, et al.. (2015). Regulation of pyruvate kinase isozyme M2 is mediated by the ubiquitin-specific protease 20. International Journal of Oncology. 46(5). 2116–2124. 25 indexed citations
15.
Lim, Key‐Hwan, et al.. (2015). HAUSP-nucleolin interaction is regulated by p53-Mdm2 complex in response to DNA damage response. Scientific Reports. 5(1). 12793–12793. 32 indexed citations
16.
Lim, Key‐Hwan, et al.. (2015). Annexin-1 regulated by HAUSP is essential for UV-induced damage response. Cell Death and Disease. 6(2). e1654–e1654. 36 indexed citations
17.
Kim, Chul Min, Aram Kang, Min Kim, et al.. (2013). Herpesvirus-associated Ubiquitin-specific Protease (HAUSP) Modulates Peroxisome Proliferator-activated Receptor γ (PPARγ) Stability through Its Deubiquitinating Activity. Journal of Biological Chemistry. 288(46). 32886–32896. 26 indexed citations
18.
Lim, Key‐Hwan, Suresh Ramakrishna, & Kwang‐Hyun Baek. (2013). Molecular mechanisms and functions of cytokine-inducible deubiquitinating enzymes. Cytokine & Growth Factor Reviews. 24(5). 427–431. 25 indexed citations
19.
Ramakrishna, Suresh, Bharathi Suresh, Key‐Hwan Lim, et al.. (2011). PEST Motif Sequence Regulating Human NANOG for Proteasomal Degradation. Stem Cells and Development. 20(9). 1511–1519. 75 indexed citations
20.
Kim, Myung‐Sun, Suresh Ramakrishna, Key‐Hwan Lim, Jun Hyun Kim, & Kwang‐Hyun Baek. (2010). Protein stability of mitochondrial superoxide dismutase SOD2 is regulated by USP36. Journal of Cellular Biochemistry. 112(2). 498–508. 32 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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