Chang-Eop Kim

1.4k total citations
71 papers, 1.0k citations indexed

About

Chang-Eop Kim is a scholar working on Molecular Biology, Complementary and alternative medicine and Pharmacology. According to data from OpenAlex, Chang-Eop Kim has authored 71 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 24 papers in Complementary and alternative medicine and 15 papers in Pharmacology. Recurrent topics in Chang-Eop Kim's work include Traditional Chinese Medicine Studies (21 papers), Ginseng Biological Effects and Applications (11 papers) and Pharmacological Effects of Natural Compounds (8 papers). Chang-Eop Kim is often cited by papers focused on Traditional Chinese Medicine Studies (21 papers), Ginseng Biological Effects and Applications (11 papers) and Pharmacological Effects of Natural Compounds (8 papers). Chang-Eop Kim collaborates with scholars based in South Korea, United States and Ethiopia. Chang-Eop Kim's co-authors include Won-Yung Lee, Ki Sung Kang, Choong-Yeol Lee, Kiwon Jung, Ki Hyun Kim, Hye Lim Lee, Sang Jeong Kim, Hae‐Jeung Lee, Gwi Seo Hwang and Da Young Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Chang-Eop Kim

64 papers receiving 980 citations

Peers

Chang-Eop Kim
Tai-Ping Fan United Kingdom
Kelvin Chan Australia
Su Jin Jeon South Korea
Ka Wing Leung Hong Kong
Tai-Ping Fan United Kingdom
Chang-Eop Kim
Citations per year, relative to Chang-Eop Kim Chang-Eop Kim (= 1×) peers Tai-Ping Fan

Countries citing papers authored by Chang-Eop Kim

Since Specialization
Citations

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

Fields of papers citing papers by Chang-Eop Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang-Eop Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Chang-Eop Kim. A scholar is included among the top collaborators of Chang-Eop 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 Chang-Eop Kim. Chang-Eop 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.
Kim, Chang-Eop, et al.. (2025). Identifying features that shape perceived consciousness in LLM-based AI: A quantitative study of human responses. Computers in Human Behavior Reports. 21. 100901–100901.
2.
3.
Kim, Young Woo, et al.. (2024). Systematic exploration of therapeutic effects and key mechanisms of Panax ginseng using network-based approaches. Journal of Ginseng Research. 48(4). 373–383. 9 indexed citations
4.
Lee, Hye-Yoon, et al.. (2024). Pilot Development of a 'Clinical Performance Examination (CPX) Practicing Chatbot' Utilizing Prompt Engineering. Journal of Korean Medicine. 45(1). 200–212. 4 indexed citations
5.
Kim, Dong‐Wook, Won-Yung Lee, Chang-Eop Kim, et al.. (2023). Hair Growth Effect of DN106212 in C57BL/6 Mouse and Its Network Pharmacological Mechanism of Action. Current Issues in Molecular Biology. 45(6). 5071–5083. 4 indexed citations
7.
Lee, Ji Hwan, et al.. (2023). Regulation of appetite-related neuropeptides by herbal medicines: research using microarray and network pharmacology. Applied Biological Chemistry. 66(1). 1 indexed citations
8.
Jin, Seon‐Pil, et al.. (2023). Functionally similar genes exhibit comparable/similar time-course expression kinetics in the UV-induced photoaged mouse model. PLoS ONE. 18(11). e0290358–e0290358. 1 indexed citations
9.
Lee, Won-Yung, Choong-Yeol Lee, & Chang-Eop Kim. (2023). Predicting activatory and inhibitory drug–target interactions based on structural compound representations and genetically perturbed transcriptomes. PLoS ONE. 18(4). e0282042–e0282042. 12 indexed citations
10.
Kim, Min Hee, et al.. (2022). Individualized Diagnosis and Prescription in Traditional Medicine: Decision-Making Process Analysis and Machine Learning-Based Analysis Tool Development. The American Journal of Chinese Medicine. 50(7). 1827–1844. 9 indexed citations
11.
Lee, Won-Yung, Jae Sung Pyo, Myoung‐Sook Shin, et al.. (2021). Hair Growth Stimulation Effect of Centipeda minima Extract: Identification of Active Compounds and Anagen-Activating Signaling Pathways. Biomolecules. 11(7). 976–976. 25 indexed citations
12.
Lee, Ji Hwan, Kiwon Jung, Hye Lim Lee, et al.. (2021). Identification of gallic acid as a active ingredient of Syzygium aromaticum against tacrolimus-induced damage in renal epithelial LLC-PK1 cells and rat kidney. Bioorganic & Medicinal Chemistry Letters. 41. 128012–128012. 4 indexed citations
13.
Kim, Chang-Eop, et al.. (2020). Analysis and Anticancer Effects of Active Compounds from Spatholobi Caulis in Human Breast Cancer Cells. Processes. 8(9). 1193–1193. 8 indexed citations
14.
Ryu, Changhyeon, Chang-Eop Kim, Yong Gyu Kim, et al.. (2020). Direct translation of climbing fiber burst-mediated sensory coding into post-synaptic Purkinje cell dendritic calcium. eLife. 9. 12 indexed citations
15.
Lee, Won-Yung, et al.. (2020). Machine learning-based prediction of Sasang constitution types using comprehensive clinical information and identification of key features for diagnosis. Integrative Medicine Research. 10(3). 100668–100668. 9 indexed citations
16.
Kim, Chang-Eop, et al.. (2019). S1 Employs Feature-Dependent Differential Selectivity of Single Cells and Distributed Patterns of Populations to Encode Mechanosensations. Frontiers in Cellular Neuroscience. 13. 132–132. 8 indexed citations
17.
Park, Jun Yeon, Dong‐Soo Lee, Chang-Eop Kim, et al.. (2017). Effects of fermented black ginseng on wound healing mediated by angiogenesis through the mitogen-activated protein kinase pathway in human umbilical vein endothelial cells. Journal of Ginseng Research. 42(4). 524–531. 21 indexed citations
19.
Kim, Chang-Eop, Yu Kyeong Kim, Geehoon Chung, et al.. (2014). Large-scale plastic changes of the brain network in an animal model of neuropathic pain. NeuroImage. 98. 203–215. 25 indexed citations
20.
Kim, Chang-Eop, Jaewoo Shin, Changkyun Im, et al.. (2013). Detecting bladder fullness through the ensemble activity patterns of the spinal cord unit population in a somatovisceral convergence environment. Journal of Neural Engineering. 10(5). 56009–56009. 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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