Jumin Lee

18.0k total citations · 8 hit papers
81 papers, 12.2k citations indexed

About

Jumin Lee is a scholar working on Molecular Biology, Materials Chemistry and Sociology and Political Science. According to data from OpenAlex, Jumin Lee has authored 81 papers receiving a total of 12.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 14 papers in Materials Chemistry and 12 papers in Sociology and Political Science. Recurrent topics in Jumin Lee's work include Protein Structure and Dynamics (24 papers), Digital Marketing and Social Media (11 papers) and Lipid Membrane Structure and Behavior (11 papers). Jumin Lee is often cited by papers focused on Protein Structure and Dynamics (24 papers), Digital Marketing and Social Media (11 papers) and Lipid Membrane Structure and Behavior (11 papers). Jumin Lee collaborates with scholars based in United States, South Korea and China. Jumin Lee's co-authors include Do-Hyung Park, Ingoo Han, Wonpil Im, Sunhwan Jo, Yifei Qi, Xi Cheng, Jeffery B. Klauda, Charles L. Brooks, Alexander D. MacKerell and Min Sun Yeom and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Jumin Lee

76 papers receiving 11.9k citations

Hit Papers

CHARMM-GUI Input Generato... 2007 2026 2013 2019 2015 2014 2007 2007 2008 500 1000 1.5k 2.0k 2.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jumin Lee 6.0k 2.9k 1.6k 1.5k 867 81 12.2k
Robert C. Ford 6.6k 1.1× 1.0k 0.4× 538 0.3× 903 0.6× 1.8k 2.1× 258 30.6k
Binshan Lin 1.0k 0.2× 2.6k 0.9× 1.6k 1.0× 3.2k 2.2× 1.5k 1.7× 496 14.6k
Robert J. Fisher 3.9k 0.7× 2.1k 0.7× 1.5k 0.9× 485 0.3× 1.5k 1.8× 301 13.2k
Peter Jones 1.4k 0.2× 1.9k 0.6× 2.5k 1.5× 380 0.3× 1.2k 1.3× 597 11.5k
Keith Roberts 2.8k 0.5× 261 0.1× 291 0.2× 145 0.1× 460 0.5× 221 8.8k
S. K. Joshi 2.1k 0.4× 244 0.1× 484 0.3× 171 0.1× 152 0.2× 538 13.0k
Ying Ding 1.6k 0.3× 810 0.3× 303 0.2× 376 0.3× 194 0.2× 392 10.6k
Markus Christen 1.2k 0.2× 362 0.1× 334 0.2× 113 0.1× 289 0.3× 136 3.8k
Eun Young Kim 1.5k 0.2× 735 0.3× 498 0.3× 412 0.3× 263 0.3× 500 7.4k
David J. Harvey 13.2k 2.2× 4.6k 1.6× 127 0.1× 103 0.1× 322 0.4× 520 31.9k

Countries citing papers authored by Jumin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jumin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jumin Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jumin Lee. A scholar is included among the top collaborators of Jumin Lee 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 Jumin Lee. Jumin Lee 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
2.
Kern, Nathan R., Jumin Lee, Yeol Kyo Choi, & Wonpil Im. (2024). CHARMM-GUI Multicomponent Assembler for modeling and simulation of complex multicomponent systems. Nature Communications. 15(1). 5459–5459. 19 indexed citations
3.
Lee, Jumin, et al.. (2024). SemCity: Semantic Scene Generation with Triplane Diffusion. 28337–28347. 4 indexed citations
4.
Pogozheva, Irina D., et al.. (2022). Comparative Molecular Dynamics Simulation Studies of Realistic Eukaryotic, Prokaryotic, and Archaeal Membranes. Journal of Chemical Information and Modeling. 62(4). 1036–1051. 60 indexed citations
5.
Gao, Ya, Jumin Lee, Göran Widmalm, & Wonpil Im. (2021). Correction to “Modeling and Simulation of Bacterial Outer Membranes with Lipopolysaccharides and Enterobacterial Common Antigen”. The Journal of Physical Chemistry B. 125(32). 9384–9385. 3 indexed citations
6.
Gao, Ya, Jumin Lee, Hwa-Young Lee, et al.. (2021). CHARMM-GUI Supports Hydrogen Mass Repartitioning and Different Protonation States of Phosphates in Lipopolysaccharides. Journal of Chemical Information and Modeling. 61(2). 831–839. 81 indexed citations
7.
Lee, Jumin, et al.. (2021). A Study on the Estimation of Multi-Object Social DistancingUsing Stereo Vision and AlphaPose. KIPS Transactions on Software and Data Engineering. 10(7). 279–286. 1 indexed citations
8.
Lee, Jumin, Seonghoon Kim, Edmund B. Webb, et al.. (2019). Long-Ranged Protein-Glycan Interactions Stabilize Von Willebrand Factor A2 Domain from Mechanical Unfolding. Biophysical Journal. 116(3). 190a–190a. 1 indexed citations
9.
Lee, Jumin, Göran Widmalm, Jeffery B. Klauda, & Wonpil Im. (2018). Charmm-GUI Membrane Builder with Glycolipids and Lipopolysaccharides. Biophysical Journal. 114(3). 344a–344a. 1 indexed citations
10.
Lee, Jumin, Seonghoon Kim, Edmund B. Webb, et al.. (2018). Long-ranged Protein-glycan Interactions Stabilize von Willebrand Factor A2 Domain from Mechanical Unfolding. Scientific Reports. 8(1). 16017–16017. 7 indexed citations
11.
Kim, Seonghoon, Jumin Lee, Sunhwan Jo, & Wonpil Im. (2017). CHARMM-GUI Ligand Reader & Modeler. Biophysical Journal. 112(3). 289a–289a. 5 indexed citations
12.
Lee, Jumin, et al.. (2016). CHARMM-GUI Input Generator for NAMD, Gromacs, Amber, Openmm, and CHARMM/OpenMM Simulations using the CHARMM36 Additive Force Field. Biophysical Journal. 110(3). 641a–641a. 181 indexed citations
13.
McCoy, Jason G., Zhenning Ren, Vitali Stanevich, et al.. (2016). The Structure of a Sugar Transporter of the Glucose EIIC Superfamily Provides Insight into the Elevator Mechanism of Membrane Transport. Structure. 24(6). 956–964. 33 indexed citations
14.
Qi, Yifei, Xi Cheng, Jumin Lee, et al.. (2015). CHARMM-GUI HMMM Builder for Membrane Simulations with the Highly Mobile Membrane-Mimetic Model. Biophysical Journal. 109(10). 2012–2022. 89 indexed citations
15.
McCoy, Jason G., Sharmistha Mitra, E.J. Levin, et al.. (2014). Structure and Function of a Phosphorylation-Coupled Saccharide Transporter. Biophysical Journal. 106(2). 368a–368a.
16.
Lee, Jumin & Wonpil Im. (2014). Molecular Dynamics Studies: The Effect of Phosphorylation in Saccharide Transporter System. Biophysical Journal. 106(2). 610a–610a. 1 indexed citations
17.
Lee, Jumin, Seokwon Yeom, & Seung-Hyun Hong. (2009). Face Verification System Using Optimum Nonlinear Composite Filter. Journal of the Institute of Electronics Engineers of Korea. 46(3). 44–51. 2 indexed citations
18.
Bock, Gee‐Woo, et al.. (2007). A cognitive dissonance perspective of customers' online trust in multi-channel retailers. Journal of the Association for Information Systems. 7(Suppl 44). 13–23. 7 indexed citations
19.
Lee, Jumin, et al.. (2007). The Credit Evaluation System for Micro-small Sized Individual Firms Using the Analytic Hierarchy Process. Journal of Information Systems. 16(3). 109–132. 1 indexed citations
20.
Lee, Jumin, Do-Hyung Park, & Ingoo Han. (2006). The Effect of Site Trust on Trust in the Sources of Online Consumer Review and Trust in the Sources of Consumer Endorsement in Advertisement. Journal of the Association for Information Systems. 27. 5 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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