Jaewoon Jung

1.9k total citations
45 papers, 1.3k citations indexed

About

Jaewoon Jung is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Spectroscopy. According to data from OpenAlex, Jaewoon Jung has authored 45 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 14 papers in Atomic and Molecular Physics, and Optics and 11 papers in Spectroscopy. Recurrent topics in Jaewoon Jung's work include Protein Structure and Dynamics (28 papers), Spectroscopy and Quantum Chemical Studies (11 papers) and Enzyme Structure and Function (10 papers). Jaewoon Jung is often cited by papers focused on Protein Structure and Dynamics (28 papers), Spectroscopy and Quantum Chemical Studies (11 papers) and Enzyme Structure and Function (10 papers). Jaewoon Jung collaborates with scholars based in Japan, United States and South Korea. Jaewoon Jung's co-authors include Yuji Sugita, Takaharu Mori, Chigusa Kobayashi, Michael Feig, Yasuhiro Matsunaga, Tadashi Ando, Isseki Yu, Ryuhei Harada, Seiichiro Ten‐no and Takao Yoda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Jaewoon Jung

43 papers receiving 1.3k citations

Peers

Jaewoon Jung
Marcelo C. R. Melo United States
F. Marty Ytreberg United States
Tyler Reddy United Kingdom
Abhishek Singharoy United States
Levi Pierce United States
Gia G. Maisuradze United States
Timothy R. Lezon United States
Jaewoon Jung
Citations per year, relative to Jaewoon Jung Jaewoon Jung (= 1×) peers Chigusa Kobayashi

Countries citing papers authored by Jaewoon Jung

Since Specialization
Citations

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

Fields of papers citing papers by Jaewoon Jung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaewoon Jung

This figure shows the co-authorship network connecting the top 25 collaborators of Jaewoon Jung. A scholar is included among the top collaborators of Jaewoon Jung 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 Jaewoon Jung. Jaewoon Jung 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.
Monego, Debora, et al.. (2025). ColBuilder: flexible structure generation of crosslinked collagen fibrils. Bioinformatics. 41(6).
2.
Niitsu, Ai, Andrew R. Thomson, Jason T. Sengel, et al.. (2025). Rational Design Principles for De Novo α-Helical Peptide Barrels with Dynamic Conductive Channels. Journal of the American Chemical Society. 147(14). 11741–11753. 2 indexed citations
3.
Gopi, Soundhararajan, Giovanni B. Brandani, Cheng Tan, et al.. (2025). In silico nanoscope to study the interplay of genome organization and transcription regulation. Nucleic Acids Research. 53(6). 1 indexed citations
4.
Jung, Jaewoon, Cheng Tan, & Yuji Sugita. (2024). GENESIS CGDYN: large-scale coarse-grained MD simulation with dynamic load balancing for heterogeneous biomolecular systems. Nature Communications. 15(1). 3370–3370. 18 indexed citations
5.
Jung, Jaewoon, Chigusa Kobayashi, & Yuji Sugita. (2023). Acceleration of generalized replica exchange with solute tempering simulations of large biological systems on massively parallel supercomputer. Journal of Computational Chemistry. 44(20). 1740–1749. 2 indexed citations
6.
Dokainish, Hisham, Suyong Re, Takaharu Mori, et al.. (2022). The inherent flexibility of receptor binding domains in SARS-CoV-2 spike protein. eLife. 11. 44 indexed citations
7.
Matsunaga, Yasuhiro, Motoshi Kamiya, Hiraku Oshima, et al.. (2022). Use of multistate Bennett acceptance ratio method for free-energy calculations from enhanced sampling and free-energy perturbation. Biophysical Reviews. 14(6). 1503–1512. 17 indexed citations
8.
Mori, Takaharu, Jaewoon Jung, Chigusa Kobayashi, et al.. (2021). Elucidation of interactions regulating conformational stability and dynamics of SARS-CoV-2 S-protein. Biophysical Journal. 120(6). 1060–1071. 48 indexed citations
9.
Kobayashi, Chigusa, Yasuhiro Matsunaga, Jaewoon Jung, & Yuji Sugita. (2019). Conformational Fluctuations and Changes of Sr-Ca2+-ATPase on the E1/E2 Transition. Biophysical Journal. 116(3). 435a–435a.
10.
Mori, Takaharu, et al.. (2018). Acceleration of cryo-EM Flexible Fitting for Large Biomolecular Systems by Efficient Space Partitioning. Structure. 27(1). 161–174.e3. 12 indexed citations
11.
Yu, Isseki, Takaharu Mori, Tadashi Ando, et al.. (2016). Biomolecular interactions modulate macromolecular structure and dynamics in atomistic model of a bacterial cytoplasm. eLife. 5. 226 indexed citations
12.
Jung, Jaewoon, et al.. (2016). Graphics Processing Unit Acceleration and Parallelization of GENESIS for Large-Scale Molecular Dynamics Simulations. Journal of Chemical Theory and Computation. 12(10). 4947–4958. 23 indexed citations
13.
Jung, Jaewoon, Chigusa Kobayashi, Toshiyuki Imamura, & Yuji Sugita. (2015). Parallel implementation of 3D FFT with volumetric decomposition schemes for efficient molecular dynamics simulations. Computer Physics Communications. 200. 57–65. 22 indexed citations
14.
Mori, Takaharu, Jaewoon Jung, & Yuji Sugita. (2014). Surface-Tension Replica-Exchange Molecular Dynamics Method for Efficient Conformational Sampling of Biological Membrane Systems. Biophysical Journal. 106(2). 704a–704a. 1 indexed citations
15.
Kawashima, Yukio, Haruyuki Nakano, Jaewoon Jung, & Seiichiro Ten‐no. (2011). A combined quantum mechanical and molecular mechanical method using modified generalized hybrid orbitals: implementation for electronic excited states. Physical Chemistry Chemical Physics. 13(24). 11731–11731. 9 indexed citations
16.
Akinaga, Yoshinobu, Jaewoon Jung, & Seiichiro Ten‐no. (2011). QM/MM calculation of protein magnetic shielding tensors with generalized hybrid-orbital method: A GIAO approach. Physical Chemistry Chemical Physics. 13(32). 14490–14490. 3 indexed citations
17.
Jung, Jaewoon, Yuji Sugita, & Seiichiro Ten‐no. (2010). Møller–Plesset perturbation theory gradient in the generalized hybrid orbital quantum mechanical and molecular mechanical method. The Journal of Chemical Physics. 132(8). 84106–84106. 7 indexed citations
18.
Re, Suyong, Takashi Imai, Jaewoon Jung, Seiichiro Ten‐no, & Yuji Sugita. (2010). Geometrically associative yet electronically dissociative character in the transition state of enzymatic reversible phosphorylation. Journal of Computational Chemistry. 32(2). 260–270. 7 indexed citations
19.
Jung, Jaewoon, Hie‐Tae Moon, & Jooyoung Lee. (2005). Identification of the protein native structure by using a sequence-dependent feature in contact maps. Journal of the Korean Physical Society. 46(3). 625–630. 1 indexed citations
20.
Jung, Jaewoon, Jooyoung Lee, & Hie‐Tae Moon. (2004). Topological determinants of protein unfolding rates. Proteins Structure Function and Bioinformatics. 58(2). 389–395. 18 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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