Soonmin Jang

1.8k total citations
84 papers, 1.5k citations indexed

About

Soonmin Jang is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Soonmin Jang has authored 84 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 24 papers in Atomic and Molecular Physics, and Optics and 24 papers in Materials Chemistry. Recurrent topics in Soonmin Jang's work include Protein Structure and Dynamics (28 papers), Spectroscopy and Quantum Chemical Studies (21 papers) and Enzyme Structure and Function (11 papers). Soonmin Jang is often cited by papers focused on Protein Structure and Dynamics (28 papers), Spectroscopy and Quantum Chemical Studies (21 papers) and Enzyme Structure and Function (11 papers). Soonmin Jang collaborates with scholars based in South Korea, United States and Taiwan. Soonmin Jang's co-authors include Seokmin Shin, Youngshang Pak, Gregory A. Voth, Eunae Kim, Seogjoo Jang, Sang‐Woo Joo, Jeseong Yoon, Kyunghee Lee, Stuart A. Rice and Meishan Zhao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Soonmin Jang

83 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soonmin Jang South Korea 22 743 445 415 230 124 84 1.5k
Seokmin Shin South Korea 23 703 0.9× 488 1.1× 838 2.0× 205 0.9× 245 2.0× 123 1.9k
E. W. Knapp Germany 20 1.0k 1.4× 507 1.1× 660 1.6× 172 0.7× 82 0.7× 43 1.7k
Zhifeng Jing United States 15 630 0.8× 590 1.3× 361 0.9× 187 0.8× 150 1.2× 26 1.5k
Michaela Zamponi Germany 24 319 0.4× 607 1.4× 236 0.6× 151 0.7× 146 1.2× 71 1.3k
Chi‐cheng Chiu Taiwan 24 645 0.9× 398 0.9× 285 0.7× 192 0.8× 340 2.7× 59 1.6k
Biman Jana India 24 860 1.2× 392 0.9× 437 1.1× 158 0.7× 188 1.5× 90 2.0k
Marco Paolantoni Italy 29 579 0.8× 491 1.1× 936 2.3× 448 1.9× 114 0.9× 106 2.2k
Yoshihiro Taniguchi Japan 21 697 0.9× 350 0.8× 433 1.0× 342 1.5× 65 0.5× 115 1.7k
Sergei V. Bykov United States 18 425 0.6× 200 0.4× 183 0.4× 312 1.4× 86 0.7× 31 1.0k
Edmond Y. Lau United States 24 1.1k 1.5× 302 0.7× 259 0.6× 181 0.8× 112 0.9× 69 2.0k

Countries citing papers authored by Soonmin Jang

Since Specialization
Citations

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

Fields of papers citing papers by Soonmin Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soonmin Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Soonmin Jang. A scholar is included among the top collaborators of Soonmin Jang 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 Soonmin Jang. Soonmin Jang 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.
Ly, Nguyễn Hoàng, Soonmin Jang, Hyewon Lee, et al.. (2022). Equilibria of semi-volatile isothiazolinones between air and glass surfaces measured by gas chromatography and Raman spectroscopy. Environmental Research. 218. 114908–114908. 33 indexed citations
2.
Yoon, Hye‐Jin, et al.. (2022). The point mutation of the cholesterol trafficking membrane protein NPC1 may affect its proper function in more than a single step: Molecular dynamics simulation study. Computational Biology and Chemistry. 99. 107725–107725. 3 indexed citations
3.
Jang, Soonmin, et al.. (2022). Carbon capture and biocatalytic oxygen production of photosystem II from thylakoids and microalgae on nanobiomaterials. Bioresource Technology. 368. 128279–128279. 48 indexed citations
4.
Kim, Taeyeon, et al.. (2021). Surface-dependent gas equilibrium of semi-volatile organic compounds on glass, wood, and polyurethane foam using SPME-GC/MS. Chemosphere. 291(Pt 2). 132869–132869. 4 indexed citations
5.
6.
Jang, Soonmin & Sung‐Seen Choi. (2020). Characterization of the fragmentation behaviors of protonated α‐cyclodextrin generated by electrospray ionization. Rapid Communications in Mass Spectrometry. 35(2). e8967–e8967. 3 indexed citations
7.
Ly, Nguyễn Hoàng, et al.. (2020). Vibrational Spectroscopic Estimation of Semivolatile Organic Compound Evaporation From Glass Surfaces. Bulletin of the Korean Chemical Society. 41(12). 1169–1174. 2 indexed citations
8.
Muthiah, Balaganesh, et al.. (2019). Can a single water molecule catalyze the OH+CH2CH2 and OH+CH2O reactions?. Atmospheric Environment. 207. 82–92. 16 indexed citations
9.
Liu, Yalin, et al.. (2015). Investigation on critical structural motifs of ligands for triggering glucocorticoid receptor nuclear migration through molecular docking simulations. Journal of Biomolecular Structure and Dynamics. 34(6). 1214–1231. 11 indexed citations
10.
Jang, Soonmin, et al.. (2014). A fully atomistic computer simulation study of cold denaturation of a β-hairpin. Nature Communications. 5(1). 5773–5773. 41 indexed citations
11.
Yoon, H.J., Kyoung Hoon Kim, Jin Kuk Yang, et al.. (2013). A docking study of enhanced intracellular survival protein fromMycobacterium tuberculosiswith human DUSP16/MKP-7. Journal of Synchrotron Radiation. 20(6). 929–932. 6 indexed citations
12.
Chen, Hsing‐Yu, Soonmin Jang, Tzyy‐Rong Jinn, et al.. (2012). Oxygen radical-mediated oxidation reactions of an alanine peptide motif - density functional theory and transition state theory study. Chemistry Central Journal. 6(1). 33–33. 11 indexed citations
13.
14.
Lin, Renjie, et al.. (2011). Site specificity of OH α‐H abstraction reaction for a β‐hairpin peptide: An ab initio study. Journal of Computational Chemistry. 32(16). 3409–3422. 3 indexed citations
15.
Son, Won‐Joon, Soonmin Jang, & Seokmin Shin. (2011). Simulated Q-annealing: conformational search with an effective potential. Journal of Molecular Modeling. 18(1). 213–220. 3 indexed citations
16.
Jang, Soonmin, et al.. (2010). Docking study of the precursor peptide of matoparan onto its putative processing enzyme, dipeptidyl peptidase IV: a revisit to molecular ticketing. Journal of Computer-Aided Molecular Design. 24(3). 213–224. 2 indexed citations
17.
Wu, Chen‐Chang, et al.. (2009). Variation of reaction dynamics for OH hydrogen abstraction from glycine between ab initio levels of theory. Journal of Molecular Modeling. 16(2). 175–182. 15 indexed citations
18.
Jang, Soonmin, Eunae Kim, & Youngshang Pak. (2006). Direct folding simulation of α‐helices and β‐hairpins based on a single all‐atom force field with an implicit solvation model. Proteins Structure Function and Bioinformatics. 66(1). 53–60. 34 indexed citations
19.
Jang, Soonmin, Eunae Kim, & Youngshang Pak. (2005). Free energy surfaces of miniproteins with a ββα motif: Replica exchange molecular dynamics simulation with an implicit solvation model. Proteins Structure Function and Bioinformatics. 62(3). 663–671. 33 indexed citations
20.
Jang, Soonmin, Seokmin Shin, & Youngshang Pak. (2003). Replica-Exchange Method Using the Generalized Effective Potential. Physical Review Letters. 91(5). 58305–58305. 79 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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