Dae‐Won Kim

783 total citations
28 papers, 615 citations indexed

About

Dae‐Won Kim is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Dae‐Won Kim has authored 28 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Genetics. Recurrent topics in Dae‐Won Kim's work include Ubiquitin and proteasome pathways (4 papers), Cancer-related molecular mechanisms research (3 papers) and Hedgehog Signaling Pathway Studies (3 papers). Dae‐Won Kim is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Cancer-related molecular mechanisms research (3 papers) and Hedgehog Signaling Pathway Studies (3 papers). Dae‐Won Kim collaborates with scholars based in South Korea, United States and Qatar. Dae‐Won Kim's co-authors include Andrew B. Lassar, Chang‐Yeol Yeo, Yun-Hye Jin, Kwang-Youl Lee, Yeon-Jin Kim, Bok Yun Kang, Kwang‐Hyun Baek, Seung-Won Choi, Younghee Lee and Hyung‐Joo Kwon and has published in prestigious journals such as Nature Genetics, Nature Cell Biology and Molecular and Cellular Biology.

In The Last Decade

Dae‐Won Kim

27 papers receiving 610 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dae‐Won Kim South Korea 12 356 112 110 84 80 28 615
Cecilia G. Sánchez United States 15 440 1.2× 100 0.9× 32 0.3× 179 2.1× 77 1.0× 18 821
Maja Studencka‐Turski Germany 13 332 0.9× 41 0.4× 31 0.3× 59 0.7× 93 1.2× 16 479
J. Liang United States 6 533 1.5× 67 0.6× 29 0.3× 255 3.0× 66 0.8× 7 875
Jiyung Shin United States 10 997 2.8× 129 1.2× 250 2.3× 250 3.0× 137 1.7× 11 1.4k
Abdulmetin Dursun United States 7 334 0.9× 144 1.3× 22 0.2× 88 1.0× 48 0.6× 10 795
Xia Huang China 5 617 1.7× 91 0.8× 15 0.1× 144 1.7× 104 1.3× 10 759
Mitsuho Sasaki Japan 14 399 1.1× 49 0.4× 16 0.1× 262 3.1× 25 0.3× 18 687
Karen Cornille France 9 669 1.9× 51 0.5× 31 0.3× 217 2.6× 110 1.4× 14 972
Vedat O. Yilmaz United States 4 502 1.4× 129 1.2× 25 0.2× 46 0.5× 66 0.8× 4 783
Marco Boccitto United States 9 328 0.9× 74 0.7× 18 0.2× 69 0.8× 123 1.5× 13 572

Countries citing papers authored by Dae‐Won Kim

Since Specialization
Citations

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

Fields of papers citing papers by Dae‐Won Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae‐Won Kim. 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 Dae‐Won Kim. The network helps show where Dae‐Won Kim may publish in the future.

Co-authorship network of co-authors of Dae‐Won Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Dae‐Won Kim. A scholar is included among the top collaborators of Dae‐Won Kim 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 Dae‐Won Kim. Dae‐Won Kim 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.
Cho, Jae Youl, et al.. (2025). Protopanaxadiol induces apoptosis through JNK signaling pathway and targeting MLK3 in human melanoma. Journal of Ginseng Research. 49(6). 663–670.
2.
Lee, Jiyoung, Yeon-Joo Kim, Paris Ataliotis, et al.. (2023). Coordination of canonical and noncanonical Hedgehog signalling pathways mediated by WDR11 during primordial germ cell development. Scientific Reports. 13(1). 12309–12309. 3 indexed citations
3.
Neal, Scott J., Abdul Rouf, Rebecca A. Butcher, et al.. (2021). CREB mediates the C. elegans dauer polyphenism through direct and cell-autonomous regulation of TGF-β expression. PLoS Genetics. 17(7). e1009678–e1009678. 11 indexed citations
4.
Park, Minsun, Seung Won Choi, Daun Jeong, et al.. (2021). Suppression of Osteoarthritis progression by post-natal Induction of Nkx3.2. Biochemical and Biophysical Research Communications. 571. 188–194. 4 indexed citations
5.
Yeo, Chang‐Yeol, et al.. (2019). Secreted tyrosine kinase Vlk negatively regulates Hedgehog signaling by inducing lysosomal degradation of Smoothened. Biochemical Journal. 477(1). 121–136. 8 indexed citations
6.
7.
Choi, Je‐Yong, et al.. (2016). Cartilage-Specific and Cre-Dependent Nkx3.2 Overexpression In Vivo Causes Skeletal Dwarfism by Delaying Cartilage Hypertrophy. Journal of Cellular Physiology. 232(1). 78–90. 11 indexed citations
8.
9.
Kim, Jeong‐Ah, et al.. (2015). Suppression of Nkx3.2 by phosphatidylinositol-3-kinase signaling regulates cartilage development by modulating chondrocyte hypertrophy. Cellular Signalling. 27(12). 2389–2400. 11 indexed citations
10.
Kang, Eun‐Suk, et al.. (2011). Successful therapeutic plasma exchange in a 3.2‐kg body weight neonate with atypical hemolytic uremic syndrome. Journal of Clinical Apheresis. 26(3). 162–165. 8 indexed citations
11.
Choi, Seung-Won, et al.. (2011). Exogenous Signal-Independent Nuclear IκB Kinase Activation Triggered by Nkx3.2 Enables Constitutive Nuclear Degradation of IκB-α in Chondrocytes. Molecular and Cellular Biology. 31(14). 2802–2816. 10 indexed citations
12.
Kwon, Sang‐Hoon, et al.. (2010). ASB9 interacts with ubiquitous mitochondrial creatine kinase and inhibits mitochondrial function. BMC Biology. 8(1). 23–23. 46 indexed citations
13.
Kim, Dongbum, Jin-Ho Kim, Younghee Lee, et al.. (2009). 2,4-Dinitrofluorobenzene Modifies Cellular Proteins and Induces Macrophage Inflammatory Protein-2 Gene Expression via Reactive Oxygen Species Production in RAW 264.7 Cells. Immunological Investigations. 38(2). 132–152. 13 indexed citations
14.
Han, Younho, Yun-Hye Jin, Yeon-Jin Kim, et al.. (2008). Acetylation of Sirt2 by p300 attenuates its deacetylase activity. Biochemical and Biophysical Research Communications. 375(4). 576–580. 73 indexed citations
15.
Kim, Dae‐Won, et al.. (2008). Comparative genomic analysis of the whale (Pseudorca crassidens) PRNP locus. Genome. 51(6). 452–464. 5 indexed citations
16.
Kim, Dongbum, Sanghoon Kwon, Younghee Lee, et al.. (2008). Immunostimulation and anti-DNA antibody production by backbone modified CpG-DNA. Biochemical and Biophysical Research Communications. 379(2). 362–367. 29 indexed citations
17.
Park, Minsun, et al.. (2007). Constitutive RelA activation mediated by Nkx3.2 controls chondrocyte viability. Nature Cell Biology. 9(3). 287–298. 39 indexed citations
18.
Jung, Jinwon, et al.. (2006). Solution structure of TA1092, a ribosomal protein S24e from Thermoplasma acidophilum. Proteins Structure Function and Bioinformatics. 64(4). 1095–1097. 8 indexed citations
19.
Kuroki, Yoko, Atsushi Toyoda, Hideki Noguchi, et al.. (2006). Comparative analysis of chimpanzee and human Y chromosomes unveils complex evolutionary pathway. Nature Genetics. 38(2). 158–167. 82 indexed citations
20.
Choi, Sang-Haeng, et al.. (2005). Identification of novel allele on the locus 47z (DXYS5) in the Korean population. Journal of Human Genetics. 50(12). 664–666. 3 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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