Changbong Hyeon

6.8k total citations
117 papers, 5.0k citations indexed

About

Changbong Hyeon is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Cell Biology. According to data from OpenAlex, Changbong Hyeon has authored 117 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 25 papers in Atomic and Molecular Physics, and Optics and 16 papers in Cell Biology. Recurrent topics in Changbong Hyeon's work include RNA and protein synthesis mechanisms (31 papers), Protein Structure and Dynamics (27 papers) and Force Microscopy Techniques and Applications (17 papers). Changbong Hyeon is often cited by papers focused on RNA and protein synthesis mechanisms (31 papers), Protein Structure and Dynamics (27 papers) and Force Microscopy Techniques and Applications (17 papers). Changbong Hyeon collaborates with scholars based in South Korea, United States and China. Changbong Hyeon's co-authors include D. Thirumalai, José N. Onuchic, Ruxandra I. Dima, Greg Morrison, George H. Lorimer, Wonseok Hwang, Sarah A. Woodson, Tae‐Young Yoon, Hongsuk Kang and P. Pincus and has published in prestigious journals such as Science, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

Changbong Hyeon

114 papers receiving 5.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changbong Hyeon South Korea 44 3.8k 907 880 746 470 117 5.0k
Garegin A. Papoian United States 33 2.6k 0.7× 705 0.8× 1.1k 1.3× 579 0.8× 369 0.8× 105 4.1k
Cristian Micheletti Italy 42 3.6k 0.9× 1.2k 1.4× 1.6k 1.8× 265 0.4× 749 1.6× 168 5.3k
Brian P. English United States 21 3.1k 0.8× 404 0.4× 557 0.6× 392 0.5× 532 1.1× 29 4.7k
Yoshie Harada Japan 33 2.7k 0.7× 1.2k 1.3× 1.2k 1.3× 1.0k 1.4× 1.4k 2.9× 88 6.2k
Daniel Nettels Switzerland 41 5.0k 1.3× 1.1k 1.2× 2.0k 2.2× 532 0.7× 432 0.9× 96 6.3k
Anatoly B. Kolomeisky United States 34 2.2k 0.6× 723 0.8× 503 0.6× 744 1.0× 657 1.4× 181 4.2k
Shoji Takada Japan 41 5.3k 1.4× 1.1k 1.2× 2.3k 2.6× 432 0.6× 216 0.5× 141 6.3k
Ryota Iino Japan 40 4.2k 1.1× 753 0.8× 339 0.4× 779 1.0× 1.2k 2.5× 108 6.0k
Takashi Funatsu Japan 41 3.8k 1.0× 1.3k 1.4× 1.6k 1.8× 1.1k 1.5× 2.1k 4.5× 190 8.6k

Countries citing papers authored by Changbong Hyeon

Since Specialization
Citations

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

Fields of papers citing papers by Changbong Hyeon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changbong Hyeon

This figure shows the co-authorship network connecting the top 25 collaborators of Changbong Hyeon. A scholar is included among the top collaborators of Changbong Hyeon 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 Changbong Hyeon. Changbong Hyeon 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.
Hyeon, Changbong, et al.. (2024). Glycolytic oscillations under periodic drivings. Journal of The Royal Society Interface. 21(211). 20230588–20230588.
2.
Chen, Shi, Lei Liu, & Changbong Hyeon. (2024). Hi-C-guided many-polymer model to decipher 3D genome organization. Biophysical Journal. 123(16). 2574–2583. 1 indexed citations
3.
Hyeon, Changbong, et al.. (2024). Anomalous Water Penetration in Al3+ Dissolution. The Journal of Physical Chemistry Letters. 15(43). 10903–10908. 3 indexed citations
4.
Cho, Samuel S., et al.. (2023). TMAO Destabilizes RNA Secondary Structure via Direct Hydrogen Bond Interactions. The Journal of Physical Chemistry B. 127(2). 438–445. 2 indexed citations
5.
Kim, Won Kyu, Kiri Choi, Changbong Hyeon, & Seogjoo Jang. (2023). General Chemical Reaction Network Theory for Olfactory Sensing Based on G-Protein-Coupled Receptors: Elucidation of Odorant Mixture Effects and Agonist–Synergist Threshold. The Journal of Physical Chemistry Letters. 14(38). 8412–8420. 1 indexed citations
6.
Thirumalai, D., et al.. (2022). Moderate activity of RNA chaperone maximizes the yield of self-spliced pre-RNA in vivo. Proceedings of the National Academy of Sciences. 119(49). e2209422119–e2209422119. 2 indexed citations
7.
Choi, Kiri, Won Kyu Kim, & Changbong Hyeon. (2022). Olfactory responses of Drosophila are encoded in the organization of projection neurons. eLife. 11. 3 indexed citations
8.
9.
Zhang, Bokai, et al.. (2021). Extracting multi-way chromatin contacts from Hi-C data. PLoS Computational Biology. 17(12). e1009669–e1009669. 17 indexed citations
10.
Kim, Chang-Won, Min Ju Shon, Sung Hyun Kim, et al.. (2021). Extreme parsimony in ATP consumption by 20S complexes in the global disassembly of single SNARE complexes. Nature Communications. 12(1). 3206–3206. 15 indexed citations
11.
Leitner, David M., Changbong Hyeon, & Korey M. Reid. (2020). Water-mediated biomolecular dynamics and allostery. The Journal of Chemical Physics. 152(24). 240901–240901. 30 indexed citations
12.
Liu, Lei, Sang Kwon Lee, Teng Liu, et al.. (2019). Increased Confinement and Polydispersity of STIM1 and Orai1 after Ca2+ Store Depletion. Biophysical Journal. 118(1). 70–84. 7 indexed citations
13.
Thirumalai, D. & Changbong Hyeon. (2018). Signalling networks and dynamics of allosteric transitions in bacterial chaperonin GroEL: implications for iterative annealing of misfolded proteins. Philosophical Transactions of the Royal Society B Biological Sciences. 373(1749). 20170182–20170182. 17 indexed citations
14.
Hwang, Wonseok, Yuno Lee, Suyeon Park, et al.. (2018). Dynamic coordination of two-metal-ions orchestrates λ-exonuclease catalysis. Nature Communications. 9(1). 4404–4404. 21 indexed citations
15.
Chakrabarti, Shaon, Changbong Hyeon, Xiang Ye, George H. Lorimer, & D. Thirumalai. (2017). Molecular chaperones maximize the native state yield on biological times by driving substrates out of equilibrium. Proceedings of the National Academy of Sciences. 114(51). E10919–E10927. 32 indexed citations
16.
Reddy, Babu J.N., Suvranta K. Tripathy, Michael Vershinin, et al.. (2017). Heterogeneity in kinesin function. Traffic. 18(10). 658–671. 13 indexed citations
17.
Hyeon, Changbong. (2012). Hidden Complexity in the Isomerization Dynamics of Holliday Junctions. Biophysical Journal. 102(3). 276a–276a. 3 indexed citations
18.
Morrison, Greg, Changbong Hyeon, Michael Hinczewski, & D. Thirumalai. (2011). Compaction and Tensile Forces Determine the Accuracy of Folding Landscape Parameters from Single Molecule Pulling Experiments. Physical Review Letters. 106(13). 138102–138102. 30 indexed citations
19.
Hyeon, Changbong & José N. Onuchic. (2011). A Structural Perspective on the Dynamics of Kinesin Motors. Biophysical Journal. 101(11). 2749–2759. 24 indexed citations
20.
Pincus, David L., Samuel S. Cho, Changbong Hyeon, & D. Thirumalai. (2008). Minimal Models for Proteins and RNA: From Folding to Function. Progress in molecular biology and translational science. 84. 203–250. 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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