Daeun Chung

438 total citations
12 papers, 338 citations indexed

About

Daeun Chung is a scholar working on Biomaterials, Molecular Biology and Cancer Research. According to data from OpenAlex, Daeun Chung has authored 12 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomaterials, 4 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in Daeun Chung's work include Nanoparticle-Based Drug Delivery (3 papers), Silk-based biomaterials and applications (2 papers) and Protease and Inhibitor Mechanisms (2 papers). Daeun Chung is often cited by papers focused on Nanoparticle-Based Drug Delivery (3 papers), Silk-based biomaterials and applications (2 papers) and Protease and Inhibitor Mechanisms (2 papers). Daeun Chung collaborates with scholars based in Germany, South Korea and United States. Daeun Chung's co-authors include Felix Kratz, Joong‐Hoon Ahn, So Yeon Kim, André Warnecke, Iduna Fichtner, Bernd Schmid, N. Esser, Clemens Unger, Christoph Schächtele and Ralph Graeser and has published in prestigious journals such as Oncogene, Scientific Reports and International Journal of Cancer.

In The Last Decade

Daeun Chung

11 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daeun Chung Germany 7 214 84 78 53 48 12 338
Hideaki Ichihara Japan 14 292 1.4× 155 1.8× 66 0.8× 23 0.4× 39 0.8× 51 493
Ariane Roseblade Australia 9 206 1.0× 71 0.8× 62 0.8× 53 1.0× 11 0.2× 14 371
Andrea L. Merz United States 11 195 0.9× 47 0.6× 115 1.5× 62 1.2× 16 0.3× 14 381
Dandan Jiang China 13 240 1.1× 56 0.7× 78 1.0× 63 1.2× 14 0.3× 29 449
Kathryn J. Chavez United States 5 350 1.6× 39 0.5× 213 2.7× 109 2.1× 38 0.8× 6 644
Mahshid Mohammadian Iran 12 147 0.7× 46 0.5× 75 1.0× 32 0.6× 13 0.3× 34 358
Chunying Hou China 12 191 0.9× 52 0.6× 86 1.1× 82 1.5× 16 0.3× 19 314
Yulia Aleksandrova Russia 12 280 1.3× 23 0.3× 85 1.1× 80 1.5× 33 0.7× 49 502
Funmilola A. Fisusi Nigeria 6 196 0.9× 154 1.8× 113 1.4× 65 1.2× 23 0.5× 10 499

Countries citing papers authored by Daeun Chung

Since Specialization
Citations

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

Fields of papers citing papers by Daeun Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daeun Chung

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

All Works

12 of 12 papers shown
1.
Chung, Daeun. (2025). Artificial intelligence in healthcare and medicine technology development review. Engineering Applications of Artificial Intelligence. 143. 109801–109801. 4 indexed citations
2.
Kim, Yesol, Je Yeong Ko, Sumin Oh, et al.. (2022). Reduced miR-371b-5p expression drives tumor progression via CSDE1/RAC1 regulation in triple-negative breast cancer. Oncogene. 41(22). 3151–3161. 9 indexed citations
3.
Kim, Yesol, Hyeok-Gu Kang, Jee Won Park, et al.. (2020). Inhibition of Chk1 by miR-320c increases oxaliplatin responsiveness in triple-negative breast cancer. Oncogenesis. 9(10). 91–91. 16 indexed citations
4.
Chung, Daeun, So Yeon Kim, & Joong‐Hoon Ahn. (2017). Production of three phenylethanoids, tyrosol, hydroxytyrosol, and salidroside, using plant genes expressing in Escherichia coli. Scientific Reports. 7(1). 2578–2578. 100 indexed citations
5.
Chung, Daeun & Hae‐Dong Kim. (2017). Adult Leaners’ Recognition and Attitudes towards World Englishes Pronunciation. 61(1). 229–255. 2 indexed citations
6.
Chung, Daeun, et al.. (2015). Cell proliferation of silk proteins obtained from Bombyx mori silkworm varieties. 53(2). 92–96. 3 indexed citations
7.
Lee, Kwang-Gill, Daeun Chung, Kee‐Young Kim, et al.. (2015). General characteristics of Antheraea yamamai silkworm cocoon cultured in Korea. 53(1). 6–11. 3 indexed citations
8.
Chung, Daeun, et al.. (2013). A Study on the Utilization and Satisfaction of Knowledge Management System in the Defense Sector. Journal of the Korea society of IT services. 12(3). 207–229.
9.
11.
Chung, Daeun & Felix Kratz. (2006). Development of a novel albumin-binding prodrug that is cleaved by urokinase-type-plasminogen activator (uPA). Bioorganic & Medicinal Chemistry Letters. 16(19). 5157–5163. 33 indexed citations
12.
Kratz, Felix, et al.. (2006). Prodrugs of Anthracyclines in Cancer Chemotherapy. Current Medicinal Chemistry. 13(5). 477–523. 45 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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