Wookyung Yu

587 total citations
35 papers, 433 citations indexed

About

Wookyung Yu is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Wookyung Yu has authored 35 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 6 papers in Materials Chemistry and 5 papers in Spectroscopy. Recurrent topics in Wookyung Yu's work include Protein Structure and Dynamics (13 papers), Enzyme Structure and Function (6 papers) and Receptor Mechanisms and Signaling (6 papers). Wookyung Yu is often cited by papers focused on Protein Structure and Dynamics (13 papers), Enzyme Structure and Function (6 papers) and Receptor Mechanisms and Signaling (6 papers). Wookyung Yu collaborates with scholars based in South Korea, United States and United Kingdom. Wookyung Yu's co-authors include Iksoo Chang, Tobin R. Sosnick, Michael C. Baxa, Karl F. Freed, Ngaam J. Cheung, Sang Won Jung, Art E. Cho, John J. Skinner, James R. Hinshaw and Woonghee Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Environmental Science & Technology.

In The Last Decade

Wookyung Yu

32 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wookyung Yu South Korea 13 290 104 50 45 37 35 433
Zöhre Ucurum Switzerland 16 414 1.4× 67 0.6× 51 1.0× 70 1.6× 7 0.2× 35 632
Jorge P. López‐Alonso Spain 13 348 1.2× 88 0.8× 15 0.3× 62 1.4× 22 0.6× 23 418
Ali A. Kermani United States 9 288 1.0× 32 0.3× 42 0.8× 36 0.8× 31 0.8× 15 396
Sarah L. Griner United States 11 426 1.5× 89 0.9× 24 0.5× 38 0.8× 13 0.4× 12 642
Marialuisa Pellegrini‐Calace Italy 14 467 1.6× 69 0.7× 31 0.6× 39 0.9× 17 0.5× 18 568
Karine Moncoq France 12 560 1.9× 75 0.7× 33 0.7× 70 1.6× 11 0.3× 20 730
Argyris Politis United Kingdom 8 404 1.4× 70 0.7× 229 4.6× 35 0.8× 38 1.0× 10 547
Andy M. Lau United Kingdom 16 522 1.8× 73 0.7× 233 4.7× 48 1.1× 42 1.1× 27 727
Rolando Rodríguez Cuba 10 376 1.3× 92 0.9× 68 1.4× 43 1.0× 4 0.1× 16 605
Janine Seeliger Germany 8 261 0.9× 40 0.4× 10 0.2× 29 0.6× 27 0.7× 11 364

Countries citing papers authored by Wookyung Yu

Since Specialization
Citations

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

Fields of papers citing papers by Wookyung Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wookyung Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Wookyung Yu. A scholar is included among the top collaborators of Wookyung Yu 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 Wookyung Yu. Wookyung Yu 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.
2.
Kim, Hee-Yeon, Soyoung Jang, Wan-Soo Kim, et al.. (2025). Protein Microplastic Coronation Complexes Trigger Proteome Changes in Brain-Derived Neuronal and Glial Cells. Environmental Science & Technology. 59(29). 14993–15004. 1 indexed citations
3.
Jeong, Minjin, et al.. (2025). The N-terminal order-disorder transition is a critical determinant for a metamorphosis of IscU. International Journal of Biological Macromolecules. 323(Pt 1). 146969–146969. 1 indexed citations
4.
Yu, Wookyung, et al.. (2024). Roles of the gate loop in β-arrestin-1 conformational dynamics and phosphorylated receptor interaction. Structure. 32(9). 1358–1366.e3. 2 indexed citations
5.
An, Young Jun, Wookyung Yu, Cheolju Lee, et al.. (2024). Structural and biochemical investigation into stable FGF2 mutants with novel mutation sites and hydrophobic replacements for surface-exposed cysteines. PLoS ONE. 19(9). e0307499–e0307499. 1 indexed citations
6.
Kim, Tae-Hyeong, Kyoungmin Lee, Mookyung Cheon, & Wookyung Yu. (2024). GAN-WGCNA: Calculating gene modules to identify key intermediate regulators in cocaine addiction. PLoS ONE. 19(10). e0311164–e0311164. 1 indexed citations
7.
Kim, Hee-Yeon, Song Park, Wan-Soo Kim, et al.. (2023). A preliminary study about the potential risks of the UV-weathered microplastic: The proteome-level changes in the brain in response to polystyrene derived weathered microplastics. Environmental Research. 233. 116411–116411. 29 indexed citations
8.
9.
Lin, Yuxi, Je Min Yoo, Mi Hee Lim, et al.. (2022). Dual Effects of Presynaptic Membrane Mimetics on α-Synuclein Amyloid Aggregation. Frontiers in Cell and Developmental Biology. 10. 707417–707417. 8 indexed citations
10.
Park, Seongjun, So‐Yeon Park, Sang‐Yeol Kim, et al.. (2022). Computational design of a thermolabile uracil-DNA glycosylase of Escherichia coli. Biophysical Journal. 121(7). 1276–1288. 3 indexed citations
11.
Lee, Kyoungmin, Tae-Hyeong Kim, Mookyung Cheon, & Wookyung Yu. (2022). Unveiling OASIS family as a key player in hypoxia–ischemia cases induced by cocaine using generative adversarial networks. Scientific Reports. 12(1). 6734–6734. 3 indexed citations
12.
Seo, Min Jae, et al.. (2021). Coevolution underlies GPCR-G protein selectivity and functionality. Scientific Reports. 11(1). 7858–7858. 8 indexed citations
13.
Jung, Jaeeun, Dong Hyuk Shin, Wookyung Yu, et al.. (2021). Structural mechanism for regulation of Rab7 by site-specific monoubiquitination. International Journal of Biological Macromolecules. 194. 347–357. 5 indexed citations
14.
Kim, Beom Soo, et al.. (2021). Aggregation-Prone Structural Ensembles of Transthyretin Collected With Regression Analysis for NMR Chemical Shift. Frontiers in Molecular Biosciences. 8. 766830–766830. 3 indexed citations
15.
Park, Song, Jun Koo Yi, Wookbong Kwon, et al.. (2021). Overexpression of hepatic serum amyloid A1 in mice increases IL-17-producing innate immune cells and decreases bone density. Journal of Biological Chemistry. 296. 100595–100595. 15 indexed citations
16.
Kwon, Wookbong, Seong‐Kyoon Choi, Dae-Hwan Kim, et al.. (2021). ZNF507 affects TGF-β signaling via TGFBR1 and MAP3K8 activation in the progression of prostate cancer to an aggressive state. Journal of Experimental & Clinical Cancer Research. 40(1). 291–291. 13 indexed citations
17.
Cheung, Ngaam J. & Wookyung Yu. (2019). Sibe: a computation tool to apply protein sequence statistics to predict folding and design in silico. BMC Bioinformatics. 20(1). 455–455. 6 indexed citations
18.
Cheung, Ngaam J. & Wookyung Yu. (2018). De novo protein structure prediction using ultra-fast molecular dynamics simulation. PLoS ONE. 13(11). e0205819–e0205819. 19 indexed citations
19.
Jung, Sang Won, Art E. Cho, & Wookyung Yu. (2018). Exploring the Ligand Efficacy of Cannabinoid Receptor 1 (CB1) using Molecular Dynamics Simulations. Scientific Reports. 8(1). 13787–13787. 30 indexed citations
20.
Gates, Zachary P., Michael C. Baxa, Wookyung Yu, et al.. (2017). Perplexing cooperative folding and stability of a low-sequence complexity, polyproline 2 protein lacking a hydrophobic core. Proceedings of the National Academy of Sciences. 114(9). 2241–2246. 27 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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