Eunha Kim

5.0k total citations · 1 hit paper
93 papers, 4.1k citations indexed

About

Eunha Kim is a scholar working on Molecular Biology, Organic Chemistry and Materials Chemistry. According to data from OpenAlex, Eunha Kim has authored 93 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 30 papers in Organic Chemistry and 21 papers in Materials Chemistry. Recurrent topics in Eunha Kim's work include Click Chemistry and Applications (14 papers), Luminescence and Fluorescent Materials (12 papers) and Advanced biosensing and bioanalysis techniques (11 papers). Eunha Kim is often cited by papers focused on Click Chemistry and Applications (14 papers), Luminescence and Fluorescent Materials (12 papers) and Advanced biosensing and bioanalysis techniques (11 papers). Eunha Kim collaborates with scholars based in South Korea, United States and Japan. Eunha Kim's co-authors include Seung Bum Park, Heebeom Koo, Youngjun Lee, Sang‐Hee Lee, Ralph Weissleder, Minseob Koh, Byeong‐Joo Lee, Sung‐Seen Choi, Byung Joon Lim and Sang-Kee Choi and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Eunha Kim

91 papers receiving 4.0k citations

Hit Papers

Biomedical applications of copper-free click chemistry: i... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eunha Kim South Korea 33 1.5k 1.2k 1.0k 842 363 93 4.1k
Yihua Zhao China 27 933 0.6× 472 0.4× 766 0.8× 730 0.9× 253 0.7× 61 3.3k
Naoki Komatsu Japan 45 2.2k 1.5× 1.4k 1.1× 2.1k 2.1× 1.3k 1.6× 552 1.5× 185 7.0k
W. Matthew Leevy United States 32 1.3k 0.9× 1000 0.8× 1.1k 1.1× 697 0.8× 276 0.8× 64 4.0k
Dietmar Appelhans Germany 42 2.6k 1.7× 1.7k 1.3× 985 1.0× 1.3k 1.5× 1.4k 4.0× 263 6.0k
Takashi Kajitani Japan 36 898 0.6× 1.4k 1.1× 1.1k 1.1× 299 0.4× 904 2.5× 139 4.2k
Tatsuya Yamaguchi Japan 30 1.4k 0.9× 758 0.6× 848 0.8× 199 0.2× 353 1.0× 169 4.1k
Sehoon Kim South Korea 38 1.2k 0.8× 668 0.5× 2.6k 2.5× 2.1k 2.4× 822 2.3× 158 5.0k
K. Swaminathan Iyer Australia 36 1.2k 0.8× 452 0.4× 901 0.9× 997 1.2× 746 2.1× 149 3.9k
Tatsuya Murakami Japan 30 1.2k 0.8× 432 0.3× 1.6k 1.6× 1.6k 1.8× 701 1.9× 155 4.1k
Kai Licha Germany 36 1.6k 1.1× 512 0.4× 649 0.6× 1.4k 1.7× 740 2.0× 122 4.1k

Countries citing papers authored by Eunha Kim

Since Specialization
Citations

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

Fields of papers citing papers by Eunha Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eunha Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Eunha Kim. A scholar is included among the top collaborators of Eunha 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 Eunha Kim. Eunha 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
2.
Arun, V., et al.. (2025). Bisindolizine: A new AIEgen and its application in latent fingerprint imaging. Dyes and Pigments. 242. 112991–112991. 1 indexed citations
3.
Haseeb, Muhammad, et al.. (2024). Small molecule inhibitors of IL-1R1/IL-1β interaction identified via transfer machine learning QSAR modelling. International Journal of Biological Macromolecules. 282(Pt 5). 137295–137295. 3 indexed citations
4.
Kim, Younghun, Min Ji Han, Yongdoo Park, et al.. (2023). In-situ wound healing by SDF-1-mimic peptide-loaded click crosslinked hyaluronic acid scaffold. Journal of Controlled Release. 364. 420–434. 17 indexed citations
5.
Lim, Songhyun, et al.. (2023). Microtubule-destabilizing agents enhance STING-mediated innate immune response via biased mechanism in human monocyte cells. Biomedicine & Pharmacotherapy. 169. 115883–115883. 1 indexed citations
6.
Lee, Sungmin, Kyungwon Lee, Eunsu Kim, et al.. (2023). Indolizine-based fluorescent compounds array for noninvasive monitoring of glucose in bio-fluids using on-device machine learning. Dyes and Pigments. 215. 111287–111287. 5 indexed citations
7.
Arun, V., Sang-Kee Choi, Ji Hye Han, et al.. (2022). Harnessing aggregation-induced emission property of indolizine derivative as a fluorogenic bioprobe for endoplasmic reticulum. Dyes and Pigments. 200. 110118–110118. 9 indexed citations
8.
Heo, Jeongyun, Dhiraj P. Murale, V. Arun, et al.. (2022). Recent trends in molecular aggregates: An exploration of biomedicine. SHILAP Revista de lepidopterología. 3(2). 94 indexed citations
9.
Zheng, Jian, Junyeop Lee, Sang-Kee Choi, et al.. (2021). Highly sensitive, selective, and rapid response colorimetric chemosensor for naked eye detection of hydrogen sulfide gas under versatile conditions: Solution, thin-film, and wearable fabric. Sensors and Actuators B Chemical. 341. 130013–130013. 26 indexed citations
10.
Lee, Kyungmin, Eunha Kim, Gyu‐Yong Song, et al.. (2021). Development of Small-Molecule STING Activators for Cancer Immunotherapy. Biomedicines. 10(1). 33–33. 10 indexed citations
11.
Choi, Sang-Kee, Jonghoon Kim, & Eunha Kim. (2021). Overview of Syntheses and Molecular-Design Strategies for Tetrazine-Based Fluorogenic Probes. Molecules. 26(7). 1868–1868. 42 indexed citations
12.
Choi, Sang-Kee, Youngjun Lee, Sang Eun Yoon, et al.. (2021). A tetrazine-fused aggregation induced emission luminogen for bioorthogonal fluorogenic bioprobe. Sensors and Actuators B Chemical. 340. 129966–129966. 23 indexed citations
13.
Kim, Eunha, et al.. (2020). Design, synthesis, and biological evaluation of N-arylpiperazine derivatives as interferon inducers. Bioorganic & Medicinal Chemistry Letters. 30(24). 127613–127613. 7 indexed citations
14.
Choi, Sang-Kee, Sang Eun Yoon, Woojin Yoon, et al.. (2020). Full Color Tunable Aggregation-Induced Emission Luminogen for Bioimaging Based on an Indolizine Molecular Framework. Bioconjugate Chemistry. 31(11). 2522–2532. 33 indexed citations
15.
Kim, Eunha, et al.. (2020). Fluorescent Fluoride Sensor Based on Indolizine Core Skeleton for Bioimaging. Bulletin of the Korean Chemical Society. 42(1). 95–98. 11 indexed citations
16.
Kim, Eunha & Heebeom Koo. (2019). Biomedical applications of copper-free click chemistry: in vitro, in vivo, and ex vivo. Chemical Science. 10(34). 7835–7851. 317 indexed citations breakdown →
17.
Shin, Min Chul, Young‐Jun Lee, Seung Bum Park, & Eunha Kim. (2019). Development of Azo-Based Turn-On Chemical Array System for Hydrazine Detection with Fluorescence Pattern Analysis. ACS Omega. 4(12). 14875–14885. 15 indexed citations
18.
Jo, Ala, Sanghee Lee, Hyo Won Lee, et al.. (2018). Near-IR Fluorescent Tracer for Glucose-Uptake Monitoring in Live Cells. Bioconjugate Chemistry. 29(10). 3394–3401. 25 indexed citations
19.
Miller, Miles A., Eunha Kim, Michael F. Cuccarese, et al.. (2017). Near infrared imaging of Mer tyrosine kinase (MERTK) using MERi-SiR reveals tumor associated macrophage uptake in metastatic disease. Chemical Communications. 54(1). 42–45. 21 indexed citations
20.
Kang, Kyungtae, Jongmin Park, & Eunha Kim. (2016). Tetrazine ligation for chemical proteomics. Proteome Science. 15(1). 15–15. 38 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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