Mookyung Cheon

921 total citations
36 papers, 759 citations indexed

About

Mookyung Cheon is a scholar working on Molecular Biology, Physiology and Biomaterials. According to data from OpenAlex, Mookyung Cheon has authored 36 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 10 papers in Physiology and 7 papers in Biomaterials. Recurrent topics in Mookyung Cheon's work include Protein Structure and Dynamics (18 papers), Alzheimer's disease research and treatments (10 papers) and Supramolecular Self-Assembly in Materials (7 papers). Mookyung Cheon is often cited by papers focused on Protein Structure and Dynamics (18 papers), Alzheimer's disease research and treatments (10 papers) and Supramolecular Self-Assembly in Materials (7 papers). Mookyung Cheon collaborates with scholars based in South Korea, United States and Germany. Mookyung Cheon's co-authors include Carol K. Hall, Iksoo Chang, Iksoo Chang, Michele Vendruscolo, Leila M. Luheshi, Christopher M. Dobson, Giorgio Favrin, Sandipan Mohanty, Jinhee Park and Jaekwang Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Bioinformatics.

In The Last Decade

Mookyung Cheon

34 papers receiving 742 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mookyung Cheon South Korea 14 578 359 189 159 63 36 759
Sandipan Mohanty Germany 15 795 1.4× 334 0.9× 145 0.8× 309 1.9× 68 1.1× 33 941
Yassmine Chebaro France 18 845 1.5× 367 1.0× 132 0.7× 219 1.4× 150 2.4× 27 1.1k
Giorgio Favrin United Kingdom 11 504 0.9× 309 0.9× 110 0.6× 132 0.8× 53 0.8× 15 683
Mimi Gao Germany 16 608 1.1× 173 0.5× 53 0.3× 164 1.0× 29 0.5× 25 848
Anne Dhulesia United Kingdom 12 604 1.0× 279 0.8× 61 0.3× 188 1.2× 49 0.8× 17 731
Ioana M. Ilie Netherlands 13 276 0.5× 163 0.5× 70 0.4× 76 0.5× 44 0.7× 22 425
Ziao Fu United States 17 578 1.0× 268 0.7× 47 0.2× 62 0.4× 48 0.8× 26 907
Elke Reinartz Germany 7 574 1.0× 653 1.8× 173 0.9× 98 0.6× 140 2.2× 9 914
Markus Tusche Germany 12 654 1.1× 788 2.2× 196 1.0× 99 0.6× 193 3.1× 19 1.1k
Robert Silvers United States 18 991 1.7× 690 1.9× 222 1.2× 308 1.9× 141 2.2× 38 1.6k

Countries citing papers authored by Mookyung Cheon

Since Specialization
Citations

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

Fields of papers citing papers by Mookyung Cheon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mookyung Cheon

This figure shows the co-authorship network connecting the top 25 collaborators of Mookyung Cheon. A scholar is included among the top collaborators of Mookyung Cheon 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 Mookyung Cheon. Mookyung Cheon 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.
Jeon, Min‐Tae, Kyu‐Sung Kim, Yong-Jin Kim, et al.. (2025). TNF-α-NF-κB activation through pathological α-Synuclein disrupts the BBB and exacerbates axonopathy. Cell Reports. 44(7). 116001–116001. 1 indexed citations
2.
Kim, Tae-Hyeong, Kyoungmin Lee, Mookyung Cheon, & Wookyung Yu. (2024). GAN-WGCNA: Calculating gene modules to identify key intermediate regulators in cocaine addiction. PLoS ONE. 19(10). e0311164–e0311164. 1 indexed citations
3.
Kim, Yong-Jin, et al.. (2023). Investigation of early molecular alterations in tauopathy with generative adversarial networks. Scientific Reports. 13(1). 732–732. 4 indexed citations
4.
Lee, Kyoungmin, Tae-Hyeong Kim, Mookyung Cheon, & Wookyung Yu. (2022). Unveiling OASIS family as a key player in hypoxia–ischemia cases induced by cocaine using generative adversarial networks. Scientific Reports. 12(1). 6734–6734. 3 indexed citations
5.
Park, Jinhee, et al.. (2020). A practical application of generative adversarial networks for RNA-seq analysis to predict the molecular progress of Alzheimer's disease. PLoS Computational Biology. 16(7). e1008099–e1008099. 37 indexed citations
6.
Lee, Shinrye, Younghwi Kwon, Myungjin Jo, et al.. (2020). The Role of HDAC6 in TDP-43-Induced Neurotoxicity and UPS Impairment. Frontiers in Cell and Developmental Biology. 8. 581942–581942. 17 indexed citations
7.
Cheon, Mookyung, et al.. (2016). Polymorphism of fibrillar structures depending on the size of assembled Aβ17-42 peptides. Scientific Reports. 6(1). 38196–38196. 22 indexed citations
8.
Cheon, Mookyung, Carol K. Hall, & Iksoo Chang. (2015). Structural Conversion of Aβ17–42 Peptides from Disordered Oligomers to U-Shape Protofilaments via Multiple Kinetic Pathways. PLoS Computational Biology. 11(5). e1004258–e1004258. 41 indexed citations
9.
Cheon, Mookyung, et al.. (2014). Impact of sequence on the molecular assembly of short amyloid peptides. Proteins Structure Function and Bioinformatics. 82(7). 1469–1483. 17 indexed citations
10.
Cheon, Mookyung, Iksoo Chang, & Carol K. Hall. (2012). Influence of temperature on formation of perfect tau fragment fibrils using PRIME20/DMD simulations. Protein Science. 21(10). 1514–1527. 35 indexed citations
11.
Cheon, Mookyung, Iksoo Chang, & Carol K. Hall. (2011). Spontaneous Formation of Twisted Aβ16-22 Fibrils in Large-Scale Molecular-Dynamics Simulations. Biophysical Journal. 101(10). 2493–2501. 59 indexed citations
12.
Cheon, Mookyung, et al.. (2011). Fibrillization Propensity for Short Designed Hexapeptides Predicted by Computer Simulation. Journal of Molecular Biology. 416(4). 598–609. 22 indexed citations
13.
Cheon, Mookyung, et al.. (2011). Computer simulation study of amyloid fibril formation by palindromic sequences in prion peptides. Proteins Structure Function and Bioinformatics. 79(7). 2132–2145. 30 indexed citations
14.
Cheon, Mookyung. (2008). Calculation of the free energy barriers in the oligomerisation of Ab. Frontiers in bioscience. Volume(13). 5614–5614. 11 indexed citations
15.
Cheon, Mookyung, Iksoo Chang, Sandipan Mohanty, et al.. (2007). Structural Reorganisation and Potential Toxicity of Oligomeric Species Formed during the Assembly of Amyloid Fibrils. PLoS Computational Biology. 3(9). e173–e173. 182 indexed citations
16.
Cheon, Mookyung, et al.. (2005). A self-organizing map of amino acids with their local environments in proteins by using pairwise-contact energy parameters. Journal of the Korean Physical Society. 47(5). 895–899. 1 indexed citations
17.
Kim, Suhkmann, et al.. (2005). Perceptron learning of pairwise contact energies for proteins incorporating the amino acid environment. Physical Review E. 72(1). 11906–11906. 6 indexed citations
18.
Cheon, Mookyung, et al.. (2004). Environment-dependent one-body score function for proteins by perceptron learning and protein threading. Journal of the Korean Physical Society. 45(2). 550–557. 2 indexed citations
19.
Cheon, Mookyung, et al.. (1999). Fragmentation of percolation clusters in general dimensions. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 59(5). R4733–R4736. 8 indexed citations
20.
Cheon, Mookyung, et al.. (1999). ISING CLUSTER FRAGMENTATION AT THE CRITICAL POINT. International Journal of Modern Physics C. 10(6). 1059–1063. 2 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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