Donghyuk Suh

687 total citations
16 papers, 473 citations indexed

About

Donghyuk Suh is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Donghyuk Suh has authored 16 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Atomic and Molecular Physics, and Optics and 5 papers in Materials Chemistry. Recurrent topics in Donghyuk Suh's work include Protein Structure and Dynamics (13 papers), Spectroscopy and Quantum Chemical Studies (5 papers) and Computational Drug Discovery Methods (4 papers). Donghyuk Suh is often cited by papers focused on Protein Structure and Dynamics (13 papers), Spectroscopy and Quantum Chemical Studies (5 papers) and Computational Drug Discovery Methods (4 papers). Donghyuk Suh collaborates with scholars based in United States, South Korea and France. Donghyuk Suh's co-authors include Sun Choi, Benoı̂t Roux, Raudah Lazim, Sunhwan Jo, Christophe Chipot, Brian K. Radak, Wei Jiang, Klaus Schulten, J. C. Phillips and Stefano Bosisio and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and International Journal of Molecular Sciences.

In The Last Decade

Donghyuk Suh

16 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donghyuk Suh United States 9 352 110 100 81 44 16 473
Chunhu Tan United States 7 364 1.0× 71 0.6× 101 1.0× 112 1.4× 50 1.1× 11 469
Anna S. Kamenik Austria 16 437 1.2× 87 0.8× 105 1.1× 51 0.6× 68 1.5× 36 677
InSuk Joung South Korea 11 470 1.3× 81 0.7× 186 1.9× 82 1.0× 79 1.8× 22 662
Mazen Ahmad Germany 9 468 1.3× 133 1.2× 122 1.2× 67 0.8× 35 0.8× 20 655
Zhixiong Lin Switzerland 14 484 1.4× 102 0.9× 130 1.3× 159 2.0× 55 1.3× 35 677
Yoshinori Hirano Japan 13 344 1.0× 76 0.7× 63 0.6× 96 1.2× 29 0.7× 39 567
Dawei Zhang China 12 352 1.0× 57 0.5× 125 1.3× 59 0.7× 68 1.5× 33 495
Katharina Meier Germany 10 288 0.8× 55 0.5× 209 2.1× 99 1.2× 60 1.4× 17 639
Gaetano Calabrò United Kingdom 8 168 0.5× 93 0.8× 87 0.9× 64 0.8× 45 1.0× 8 312
Tamara Frembgen-Kesner United States 6 503 1.4× 60 0.5× 184 1.8× 40 0.5× 61 1.4× 6 642

Countries citing papers authored by Donghyuk Suh

Since Specialization
Citations

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

Fields of papers citing papers by Donghyuk Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donghyuk Suh

This figure shows the co-authorship network connecting the top 25 collaborators of Donghyuk Suh. A scholar is included among the top collaborators of Donghyuk Suh 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 Donghyuk Suh. Donghyuk Suh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Suh, Donghyuk, et al.. (2025). CHARMM-GUI EnzyDocker for Protein–Ligand Docking of Multiple Reactive States along a Reaction Coordinate in Enzymes. Journal of Chemical Theory and Computation. 21(4). 2118–2128. 2 indexed citations
2.
Suh, Donghyuk, et al.. (2024). CHARMM-GUI QM/MM Interfacer for a Quantum Mechanical and Molecular Mechanical (QM/MM) Simulation Setup: 1. Semiempirical Methods. Journal of Chemical Theory and Computation. 20(12). 5337–5351. 6 indexed citations
3.
Suh, Donghyuk, Han Zhang, & Wonpil Im. (2024). CHARMM-GUI constant-pH simulator for the constant-pH molecular dynamics simulations. Biophysical Journal. 123(3). 423a–423a. 1 indexed citations
4.
Suh, Donghyuk, Kwangho Nam, & Wonpil Im. (2023). CHARMM-GUI QM/MM interfacer for the hybrid QM/MM molecular dynamics simulations. Biophysical Journal. 122(3). 424a–424a. 1 indexed citations
5.
Wang, Kye Won, Jumin Lee, Han Zhang, Donghyuk Suh, & Wonpil Im. (2022). CHARMM-GUI Implicit Solvent Modeler for Various Generalized Born Models in Different Simulation Programs. The Journal of Physical Chemistry B. 126(38). 7354–7364. 8 indexed citations
6.
Suh, Donghyuk, Shasha Feng, Hwa-Young Lee, et al.. (2022). CHARMM‐GUI Enhanced Sampler for various collective variables and enhanced sampling methods. Protein Science. 31(11). e4446–e4446. 14 indexed citations
7.
Suh, Donghyuk, Shasha Feng, Seonghan Kim, et al.. (2022). CHARMM-GUI Enhanced Sampler for molecular dynamics simulations with collective variables and various enhanced sampling methods. Biophysical Journal. 121(3). 274a–274a. 1 indexed citations
8.
Lazim, Raudah, et al.. (2021). Structural Characterization of Receptor–Receptor Interactions in the Allosteric Modulation of G Protein-Coupled Receptor (GPCR) Dimers. International Journal of Molecular Sciences. 22(6). 3241–3241. 9 indexed citations
9.
Suh, Donghyuk, et al.. (2021). Recent Applications of Deep Learning Methods on Evolution- and Contact-Based Protein Structure Prediction. International Journal of Molecular Sciences. 22(11). 6032–6032. 17 indexed citations
10.
Lazim, Raudah, Donghyuk Suh, & Sun Choi. (2020). Advances in Molecular Dynamics Simulations and Enhanced Sampling Methods for the Study of Protein Systems. International Journal of Molecular Sciences. 21(17). 6339–6339. 124 indexed citations
11.
Suh, Donghyuk, Sunhwan Jo, Wei Jiang, Chris Chipot, & Benoı̂t Roux. (2019). String Method for Protein–Protein Binding Free-Energy Calculations. Journal of Chemical Theory and Computation. 15(11). 5829–5844. 35 indexed citations
12.
Loeffler, Hannes H., Stefano Bosisio, Guilherme Duarte Ramos Matos, et al.. (2018). Reproducibility of Free Energy Calculations across Different Molecular Simulation Software Packages. Journal of Chemical Theory and Computation. 14(11). 5567–5582. 63 indexed citations
13.
Suh, Donghyuk, Brian K. Radak, Christophe Chipot, & Benoı̂t Roux. (2018). Enhanced configurational sampling with hybrid non-equilibrium molecular dynamics–Monte Carlo propagator. The Journal of Chemical Physics. 148(1). 14101–14101. 25 indexed citations
14.
Radak, Brian K., Donghyuk Suh, & Benoı̂t Roux. (2018). A generalized linear response framework for expanded ensemble and replica exchange simulations. The Journal of Chemical Physics. 149(7). 72315–72315. 6 indexed citations
15.
Radak, Brian K., Christophe Chipot, Donghyuk Suh, et al.. (2017). Constant-pH Molecular Dynamics Simulations for Large Biomolecular Systems. Journal of Chemical Theory and Computation. 13(12). 5933–5944. 146 indexed citations
16.
Jo, Sunhwan, et al.. (2016). Leveraging the Information from Markov State Models To Improve the Convergence of Umbrella Sampling Simulations. The Journal of Physical Chemistry B. 120(33). 8733–8742. 15 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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