Dae Kyoung Kim

573 total citations
18 papers, 462 citations indexed

About

Dae Kyoung Kim is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Dae Kyoung Kim has authored 18 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Dae Kyoung Kim's work include Cancer Cells and Metastasis (5 papers), FOXO transcription factor regulation (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Dae Kyoung Kim is often cited by papers focused on Cancer Cells and Metastasis (5 papers), FOXO transcription factor regulation (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Dae Kyoung Kim collaborates with scholars based in South Korea, Japan and Czechia. Dae Kyoung Kim's co-authors include Jae Ho Kim, Eun Jin Seo, Il Ho Jang, Eun Jung Choi, Su In Lee, Yang Woo Kwon, Ki‐Hyung Kim, Dong‐Soo Suh, Dong Soo Suh and Kyung Un Choi and has published in prestigious journals such as ACS Applied Materials & Interfaces, International Journal of Molecular Sciences and Frontiers in Immunology.

In The Last Decade

Dae Kyoung Kim

18 papers receiving 458 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 Kyoung Kim South Korea 11 307 168 139 53 50 18 462
Ming-Qing Gao South Korea 8 220 0.7× 238 1.4× 129 0.9× 89 1.7× 47 0.9× 9 448
Monika Buríková Slovakia 13 262 0.9× 115 0.7× 109 0.8× 40 0.8× 40 0.8× 14 461
Svetlana Miklikova Slovakia 12 202 0.7× 168 1.0× 117 0.8× 19 0.4× 48 1.0× 17 401
Ryou Takahashi Japan 6 300 1.0× 229 1.4× 128 0.9× 45 0.8× 41 0.8× 10 525
Isabelle Lelong-Rebel France 12 255 0.8× 173 1.0× 117 0.8× 77 1.5× 70 1.4× 19 492
Minna Niemelä Finland 3 474 1.5× 242 1.4× 88 0.6× 63 1.2× 51 1.0× 3 702
Ashu Shah United States 10 225 0.7× 164 1.0× 78 0.6× 21 0.4× 92 1.8× 19 401
Ioannis Sanidas United States 13 551 1.8× 193 1.1× 151 1.1× 69 1.3× 62 1.2× 18 755
Tanya M. Braumuller Netherlands 10 353 1.1× 276 1.6× 90 0.6× 36 0.7× 44 0.9× 11 513
Nicholas Pedley Sweden 2 338 1.1× 246 1.5× 124 0.9× 31 0.6× 29 0.6× 2 458

Countries citing papers authored by Dae Kyoung Kim

Since Specialization
Citations

This map shows the geographic impact of Dae Kyoung 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 Kyoung 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 Kyoung Kim more than expected).

Fields of papers citing papers by Dae Kyoung Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dae Kyoung Kim

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

All Works

18 of 18 papers shown
1.
Kim, Dae Kyoung, et al.. (2024). Role of Peroxisome Proliferator-Activated Receptor α-Dependent Mitochondrial Metabolism in Ovarian Cancer Stem Cells. International Journal of Molecular Sciences. 25(21). 11760–11760. 1 indexed citations
2.
Kim, Dae Kyoung, Yang Woo Kwon, Kyung Un Choi, et al.. (2024). Identification of CD109 in the extracellular vesicles derived from ovarian cancer stem-like cells. BMB Reports. 57(12). 527–532. 2 indexed citations
3.
Kim, Dae Kyoung, et al.. (2023). CD109 Promotes Drug Resistance in A2780 Ovarian Cancer Cells by Regulating the STAT3-NOTCH1 Signaling Axis. International Journal of Molecular Sciences. 24(12). 10306–10306. 10 indexed citations
4.
Park, Gyu Tae, Dae Kyoung Kim, Jung Won Yoon, et al.. (2023). Transplantation of adipose tissue-derived microvascular fragments promotes therapy of critical limb ischemia. Biomaterials Research. 27(1). 70–70. 4 indexed citations
5.
Lee, Nayeon, et al.. (2022). Mesenchymal stem cell spheroids alleviate neuropathic pain by modulating chronic inflammatory response genes. Frontiers in Immunology. 13. 940258–940258. 10 indexed citations
6.
Yang, Wookyeom, Dae Kyoung Kim, Hojun Kim, et al.. (2022). Inhibition of MEK-ERK pathway enhances oncolytic vaccinia virus replication in doxorubicin-resistant ovarian cancer. Molecular Therapy — Oncolytics. 25. 211–224. 15 indexed citations
7.
Kim, Dae Kyoung, Yu Na Kim, Ye Eun Kim, et al.. (2021). TRIB2 Stimulates Cancer Stem-Like Properties through Activating the AKT-GSK3β-β-Catenin Signaling Axis. Molecules and Cells. 44(7). 481–492. 7 indexed citations
8.
Yang, Wookyeom, Dasol Kim, Dae Kyoung Kim, et al.. (2021). Therapeutic Strategies for Targeting Ovarian Cancer Stem Cells. International Journal of Molecular Sciences. 22(10). 5059–5059. 24 indexed citations
9.
Kwon, Seong Gyu, et al.. (2021). Yolk–Shell-Type Gold Nanoaggregates for Chemo- and Photothermal Combination Therapy for Drug-Resistant Cancers. ACS Applied Materials & Interfaces. 13(45). 53519–53529. 18 indexed citations
10.
Kim, Dae Kyoung, et al.. (2020). CD166 promotes the cancer stem-like properties of primary epithelial ovarian cancer cells. BMB Reports. 53(12). 622–627. 30 indexed citations
11.
Kwon, Yang Woo, Dae Kyoung Kim, Su In Lee, et al.. (2018). TRRAP stimulates the tumorigenic potential of ovarian cancer stem cells. BMB Reports. 51(10). 514–519. 13 indexed citations
12.
Lee, Su In, Dae Kyoung Kim, Eun Jin Seo, et al.. (2017). Role of Krüppel-Like Factor 4 in the Maintenance of Chemoresistance of Anaplastic Thyroid Cancer. Thyroid. 27(11). 1424–1432. 22 indexed citations
13.
Seo, Eun Jin, Yang Woo Kwon, Il Ho Jang, et al.. (2016). Autotaxin Regulates Maintenance of Ovarian Cancer Stem Cells through Lysophosphatidic Acid-Mediated Autocrine Mechanism. Stem Cells. 34(3). 551–564. 94 indexed citations
14.
John, Johnson V., Eun Jin Seo, Rimesh Augustine, et al.. (2016). Phospholipid End-Capped Bioreducible Polyurea Micelles as a Potential Platform for Intracellular Drug Delivery of Doxorubicin in Tumor Cells. ACS Biomaterials Science & Engineering. 2(11). 1883–1893. 11 indexed citations
15.
Kim, Dae Kyoung, Eun Jin Seo, Eun Jung Choi, et al.. (2016). Crucial role of HMGA1 in the self-renewal and drug resistance of ovarian cancer stem cells. Experimental & Molecular Medicine. 48(8). e255–e255. 50 indexed citations
16.
Seo, Eun Jin, Dae Kyoung Kim, Il Ho Jang, et al.. (2016). Hypoxia-NOTCH1-SOX2 signaling is important for maintaining cancer stem cells in ovarian cancer. Oncotarget. 7(34). 55624–55638. 78 indexed citations
17.
Choi, Eun Jung, Eun Jin Seo, Dae Kyoung Kim, et al.. (2015). FOXP1 functions as an oncogene in promoting cancer stem cell-like characteristics in ovarian cancer cells. Oncotarget. 7(3). 3506–3519. 66 indexed citations
18.
Moon, Dug Hee, et al.. (2004). An operator load-balancing problem in a semi-automatic parallel machine shop. Computers & Industrial Engineering. 46(2). 355–362. 7 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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