Woo Shik Shin

747 total citations
20 papers, 505 citations indexed

About

Woo Shik Shin is a scholar working on Molecular Biology, Pharmacology and Molecular Medicine. According to data from OpenAlex, Woo Shik Shin has authored 20 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Pharmacology and 6 papers in Molecular Medicine. Recurrent topics in Woo Shik Shin's work include Antibiotic Resistance in Bacteria (6 papers), Alzheimer's disease research and treatments (5 papers) and Cholinesterase and Neurodegenerative Diseases (4 papers). Woo Shik Shin is often cited by papers focused on Antibiotic Resistance in Bacteria (6 papers), Alzheimer's disease research and treatments (5 papers) and Cholinesterase and Neurodegenerative Diseases (4 papers). Woo Shik Shin collaborates with scholars based in United States, South Korea and China. Woo Shik Shin's co-authors include Lin Jiang, Kevin A. Murray, Qin Cao, Binsen Li, Yuk Y. Sham, Ramaiah Muthyala, Gal Bitan, Jing Di, Paul M. Seidler and Huaqing Cui and has published in prestigious journals such as Nature Communications, Scientific Reports and Free Radical Biology and Medicine.

In The Last Decade

Woo Shik Shin

17 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Woo Shik Shin United States 11 297 139 58 38 35 20 505
Manuela Grimaldi Italy 17 342 1.2× 194 1.4× 86 1.5× 26 0.7× 31 0.9× 54 686
Katrijn Bockstael Belgium 7 137 0.5× 122 0.9× 70 1.2× 29 0.8× 31 0.9× 8 316
Ankit Srivastava India 14 259 0.9× 136 1.0× 42 0.7× 17 0.4× 20 0.6× 22 603
Xufeng Cen China 11 342 1.2× 113 0.8× 80 1.4× 20 0.5× 26 0.7× 22 691
Fang Zhao China 10 279 0.9× 109 0.8× 39 0.7× 21 0.6× 22 0.6× 17 426
Thomas M. Moon United States 9 435 1.5× 57 0.4× 17 0.3× 45 1.2× 24 0.7× 13 601
Dolors Balsa Spain 17 295 1.0× 108 0.8× 56 1.0× 35 0.9× 76 2.2× 34 703
Suman Manandhar India 12 135 0.5× 51 0.4× 52 0.9× 23 0.6× 19 0.5× 29 370
Ana M. Matos Portugal 12 241 0.8× 75 0.5× 45 0.8× 13 0.3× 22 0.6× 22 429
Zeyaul Islam Qatar 15 393 1.3× 135 1.0× 36 0.6× 14 0.4× 7 0.2× 36 667

Countries citing papers authored by Woo Shik Shin

Since Specialization
Citations

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

Fields of papers citing papers by Woo Shik Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Woo Shik Shin. 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 Woo Shik Shin. The network helps show where Woo Shik Shin may publish in the future.

Co-authorship network of co-authors of Woo Shik Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Woo Shik Shin. A scholar is included among the top collaborators of Woo Shik Shin 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 Woo Shik Shin. Woo Shik Shin 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.
Benin, Bogdan M., et al.. (2024). Carbapenem-induced β-lactamase-isoform expression trends in Acinetobacter baumannii. Scientific Reports. 14(1). 30841–30841.
2.
Islam, Md Minarul, et al.. (2024). Phage-encoded depolymerases as a strategy for combating multidrug-resistant Acinetobacter baumannii. Frontiers in Cellular and Infection Microbiology. 14. 1462620–1462620. 21 indexed citations
3.
Benin, Bogdan M., et al.. (2023). A novel strategy to characterize the pattern of β-lactam antibiotic-induced drug resistance in Acinetobacter baumannii. Scientific Reports. 13(1). 9177–9177. 5 indexed citations
4.
Shin, Woo Shik, Jing Di, Qin Cao, et al.. (2021). Correction to: Amyloid β-protein oligomers promote the uptake of tau fibril seeds potentiating intracellular tau aggregation. Alzheimer s Research & Therapy. 13(1). 83–83.
5.
6.
Shin, Woo Shik, Jing Di, Qin Cao, et al.. (2019). Amyloid β-protein oligomers promote the uptake of tau fibril seeds potentiating intracellular tau aggregation. Alzheimer s Research & Therapy. 11(1). 86–86. 76 indexed citations
7.
Hayden, Eric Y., Woo Shik Shin, Suman Dutta, et al.. (2019). Ischemic axonal injury up-regulates MARK4 in cortical neurons and primes tau phosphorylation and aggregation. Acta Neuropathologica Communications. 7(1). 135–135. 24 indexed citations
8.
Jiang, Lin, Qin Cao, Woo Shik Shin, & David Eisenberg. (2019). O4‐01‐01: INHIBITING AMYLOID‐BETA CYTOTOXICITY THROUGH ITS INTERACTION WITH THE CELL SURFACE RECEPTOR LILRB2 BY STRUCTURE‐BASED DESIGN. Alzheimer s & Dementia. 15(7S_Part_23). 1 indexed citations
9.
Gui, Xinrui, Feng Luo, Yichen Li, et al.. (2019). Structural basis for reversible amyloids of hnRNPA1 elucidates their role in stress granule assembly. Nature Communications. 10(1). 2006–2006. 160 indexed citations
10.
Shin, Woo Shik, Gal Bitan, & Lin Jiang. (2019). F2‐06‐03: AMYLOID β‐PROTEIN OLIGOMERS PROMOTE THE UPTAKE OF TAU FIBRIL SEEDS POTENTIATING INTRACELLULAR TAU AGGREGATION. Alzheimer s & Dementia. 15(7S_Part_10). 2 indexed citations
11.
Kang, Chounghun, et al.. (2018). Anti-inflammatory effect of avenanthramides via NF-κB pathways in C2C12 skeletal muscle cells. Free Radical Biology and Medicine. 117. 30–36. 43 indexed citations
12.
Kang, Chounghun, Woo Shik Shin, Dongwook Yeo, Wonchung Lim, & Li Li Ji. (2018). Data on the mode of binding between avenanthramides and IKKβ domains in a docking model. Data in Brief. 17. 994–997. 3 indexed citations
13.
Cao, Qin, Woo Shik Shin, Henry Chan, et al.. (2018). Inhibiting amyloid-β cytotoxicity through its interaction with the cell surface receptor LilrB2 by structure-based design. Nature Chemistry. 10(12). 1213–1221. 50 indexed citations
14.
15.
Kang, Chounghun, Woo Shik Shin, Dongwook Yeo, Wonchung Lim, & Li Li Ji. (2016). Anti-inflammatory Effect Of Avenanthramides Via Nf-κB Pathways In C2c12 Skeletal Muscle Cells.. Medicine & Science in Sports & Exercise. 48. 583–583. 2 indexed citations
16.
Muthyala, Ramaiah, Woo Shik Shin, Jiashu Xie, & Yuk Y. Sham. (2015). Discovery of 1-hydroxypyridine-2-thiones as selective histone deacetylase inhibitors and their potential application for treating leukemia. Bioorganic & Medicinal Chemistry Letters. 25(19). 4320–4324. 24 indexed citations
17.
Muthyala, Ramaiah, Namrata Rastogi, Woo Shik Shin, Marnie L. Peterson, & Yuk Y. Sham. (2014). Cell permeable vanX inhibitors as vancomycin re-sensitizing agents. Bioorganic & Medicinal Chemistry Letters. 24(11). 2535–2538. 12 indexed citations
18.
Zhuang, Chunlin, Chunquan Sheng, Woo Shik Shin, et al.. (2014). A novel drug discovery strategy: Mechanistic investigation of an enantiomeric antitumor agent targeting dual p53 and NF-κB pathways. Oncotarget. 5(21). 10830–10839. 10 indexed citations
19.
Cui, Qinghua, Woo Shik Shin, Youfu Luo, et al.. (2013). Thymidylate Kinase: An Old Topic Brings New Perspectives. Current Medicinal Chemistry. 20(10). 1286–1305. 52 indexed citations
20.
Shin, Woo Shik, et al.. (2005). Establishment of Protoplast Formation Method for the Acquisition of Single Colony for Strain Improvement, and Medium Optimization for β-glucan Production. 한국생물공학회 학술대회. 139–139.

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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