Jeseong Yoon

630 total citations
23 papers, 554 citations indexed

About

Jeseong Yoon is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Physiology. According to data from OpenAlex, Jeseong Yoon has authored 23 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Atomic and Molecular Physics, and Optics and 5 papers in Physiology. Recurrent topics in Jeseong Yoon's work include Protein Structure and Dynamics (7 papers), Alzheimer's disease research and treatments (5 papers) and nanoparticles nucleation surface interactions (3 papers). Jeseong Yoon is often cited by papers focused on Protein Structure and Dynamics (7 papers), Alzheimer's disease research and treatments (5 papers) and nanoparticles nucleation surface interactions (3 papers). Jeseong Yoon collaborates with scholars based in South Korea, United States and Puerto Rico. Jeseong Yoon's co-authors include Ho‐Seok Nam, Bing Yu, Nong‐Moon Hwang, Changbong Hyeon, D. Thirumalai, Lester F. Lau, Seokmin Shin, Soonmin Jang, Kyunghee Lee and Sungchul Hohng and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Journal of Biological Chemistry.

In The Last Decade

Jeseong Yoon

21 papers receiving 543 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeseong Yoon South Korea 11 267 175 145 86 71 23 554
S. Kubo Japan 13 288 1.1× 81 0.5× 15 0.1× 61 0.7× 52 0.7× 32 548
Olga Gliko United States 14 217 0.8× 370 2.1× 141 1.0× 112 1.3× 62 0.9× 24 675
M. Bokor Hungary 13 397 1.5× 271 1.5× 11 0.1× 71 0.8× 22 0.3× 53 759
Jerelle A. Joseph United Kingdom 16 1.2k 4.6× 164 0.9× 15 0.1× 84 1.0× 16 0.2× 57 1.5k
Eduardo Mendez-Villuendas Canada 8 414 1.6× 57 0.3× 43 0.3× 107 1.2× 28 0.4× 12 556
Markus J. Weygand Denmark 17 489 1.8× 119 0.7× 17 0.1× 187 2.2× 28 0.4× 21 765
Josephine Bradley United Kingdom 14 133 0.5× 322 1.8× 68 0.5× 204 2.4× 11 0.2× 18 785
Zhexi Chi United States 13 386 1.4× 208 1.2× 15 0.1× 158 1.8× 88 1.2× 18 878
Rajesh K. Murarka India 12 280 1.0× 160 0.9× 16 0.1× 271 3.2× 50 0.7× 21 502
Sansan Lin United States 12 317 1.2× 185 1.1× 28 0.2× 185 2.2× 218 3.1× 17 684

Countries citing papers authored by Jeseong Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Jeseong Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeseong Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Jeseong Yoon. A scholar is included among the top collaborators of Jeseong Yoon 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 Jeseong Yoon. Jeseong Yoon 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.
Yoon, Jeseong, Ji‐eun Park, Murali Golla, et al.. (2025). Spectroscopic insights into charge-carrier dynamics modulated by donor-acceptor molecular distribution in organic photovoltaic materials. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 343. 126467–126467.
2.
Yoon, Jeseong, et al.. (2024). Unraveling the role of counter ions in shaping the structures of helical peptides in aqueous phase. Bulletin of the Korean Chemical Society. 45(12). 1000–1014. 2 indexed citations
3.
Yoon, Jeseong, et al.. (2024). Understanding Antimicrobial Peptide Synergy: Differential Binding Interactions and Their Impact on Membrane Integrity. The Journal of Physical Chemistry B. 128(40). 9756–9771. 1 indexed citations
4.
Yoon, Jeseong, et al.. (2023). In silico investigation of the structural stability as the origin of the pathogenicity of α -synuclein protofibrils. Journal of Biomolecular Structure and Dynamics. 41(23). 14103–14115. 2 indexed citations
5.
Lee, Minjun, Jeseong Yoon, & Seokmin Shin. (2019). Computational Study on Structure and Aggregation Pathway of Aβ42 Amyloid Protofibril. The Journal of Physical Chemistry B. 123(37). 7859–7868. 3 indexed citations
6.
Lee, Minjun, et al.. (2017). The Two Faces of Peptide Self-Assembly. Biophysical Journal. 112(3). 360a–361a. 1 indexed citations
7.
Yoon, Jeseong, et al.. (2015). Using Simulations and Kinetic Network Models to Reveal the Dynamics and Functions of Riboswitches. Methods in enzymology on CD-ROM/Methods in enzymology. 553. 235–258. 10 indexed citations
8.
Yoon, Jeseong, et al.. (2015). The role of the acidic domain of α-synuclein in amyloid fibril formation: a molecular dynamics study. Journal of Biomolecular Structure and Dynamics. 34(2). 376–383. 21 indexed citations
9.
Hyeon, Changbong, et al.. (2012). Hidden complexity in the isomerization dynamics of Holliday junctions. Nature Chemistry. 4(11). 907–914. 78 indexed citations
10.
Yoon, Jeseong, et al.. (2012). Computational Study on Oligomer Formation of Fibril-forming Peptide of α-Synuclein. Bulletin of the Korean Chemical Society. 33(3). 848–854. 4 indexed citations
11.
Yoon, Jeseong. (2009). Structural Properties of Fibril-forming Segments of α-Synuclein. Bulletin of the Korean Chemical Society. 30(3). 623–629. 2 indexed citations
12.
Yoon, Jeseong, Soonmin Jang, Kyunghee Lee, & Seokmin Shin. (2009). Simulation Studies on the Stabilities of Aggregates Formed by Fibril-Forming Segments of α-Synuclein. Journal of Biomolecular Structure and Dynamics. 27(3). 259–269. 46 indexed citations
13.
Yoon, Jeseong, Joonho Park, Soonmin Jang, Kyunghee Lee, & Seokmin Shin. (2008). Conformational Characteristics of Unstructured Peptides: α-Synuclein. Journal of Biomolecular Structure and Dynamics. 25(5). 505–515. 36 indexed citations
14.
Yoon, Jeseong, et al.. (2008). Surface Diffusion Coefficients of Adatoms on Strained Overlayers. Applied Science and Convergence Technology. 17(5). 381–386. 1 indexed citations
15.
Hwang, Nong‐Moon, et al.. (2003). Calculation of the Free Energy Barrier in the Freezing of Nanoclusters by Atomistic Simulations. Materials science forum. 426-432. 2393–2398. 1 indexed citations
16.
Nam, Ho‐Seok, Nong‐Moon Hwang, Bing Yu, & Jeseong Yoon. (2002). Formation of an Icosahedral Structure during the Freezing of Gold Nanoclusters: Surface-Induced Mechanism. Physical Review Letters. 89(27). 275502–275502. 160 indexed citations
17.
Yoon, Jeseong, et al.. (2000). Growth and physical properties of potassium lithium niobate (KLN) single crystal with high Nb2O5 content. Materials Chemistry and Physics. 63(3). 183–187. 1 indexed citations
18.
Yoon, Jeseong, et al.. (2000). The photorefractive effects of Fe and Fe+Ce doped LiTaO3 single crystal. Journal of Physics and Chemistry of Solids. 61(4). 637–646. 8 indexed citations
19.
Yoon, Jeseong, et al.. (1998). The growth of potassium lithium niobate (KLN) with low Nb2O5 content. Journal of Crystal Growth. 193(4). 615–622. 11 indexed citations
20.
Yoon, Jeseong & Lester F. Lau. (1993). Transcriptional activation of the inducible nuclear receptor gene nur77 by nerve growth factor and membrane depolarization in PC12 cells.. Journal of Biological Chemistry. 268(12). 9148–9155. 74 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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