Ky-Youb Nam

799 total citations
19 papers, 569 citations indexed

About

Ky-Youb Nam is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Ky-Youb Nam has authored 19 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Organic Chemistry and 4 papers in Computational Theory and Mathematics. Recurrent topics in Ky-Youb Nam's work include Computational Drug Discovery Methods (4 papers), Synthesis and biological activity (3 papers) and NF-κB Signaling Pathways (3 papers). Ky-Youb Nam is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Synthesis and biological activity (3 papers) and NF-κB Signaling Pathways (3 papers). Ky-Youb Nam collaborates with scholars based in South Korea, United States and China. Ky-Youb Nam's co-authors include Kyoung Tai No, Harold A. Scheraga, Ju‐Young Kim, Mitchell A. Lazar, Inhee Mook‐Jung, Youngjin Cho, Hyo‐Soo Kim, Sahmin Lee, Hyun-Chae Lee and Junho Chung and has published in prestigious journals such as Journal of the American Chemical Society, Biochemistry and Cell Metabolism.

In The Last Decade

Ky-Youb Nam

19 papers receiving 559 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ky-Youb Nam South Korea 11 205 143 117 88 59 19 569
Lisa Gruber Germany 17 319 1.6× 93 0.7× 72 0.6× 83 0.9× 27 0.5× 21 677
William A. LaMarr United States 19 431 2.1× 70 0.5× 156 1.3× 95 1.1× 37 0.6× 27 794
Berin Karaman Germany 14 314 1.5× 163 1.1× 165 1.4× 64 0.7× 125 2.1× 22 781
Maude Giroud Germany 15 376 1.8× 138 1.0× 232 2.0× 154 1.8× 77 1.3× 27 774
Fisayo A. Olotu South Africa 18 439 2.1× 103 0.7× 160 1.4× 36 0.4× 162 2.7× 79 857
Sameh H. Soror Egypt 15 408 2.0× 44 0.3× 88 0.8× 31 0.4× 36 0.6× 36 650
Huaqing Cui China 17 313 1.5× 57 0.4× 162 1.4× 25 0.3× 50 0.8× 30 582
Leixiang Yang China 16 340 1.7× 55 0.4× 118 1.0× 80 0.9× 12 0.2× 31 621
Arindam Talukdar India 16 406 2.0× 43 0.3× 284 2.4× 106 1.2× 107 1.8× 46 839
Todd L. Graybill United States 16 414 2.0× 68 0.5× 351 3.0× 31 0.4× 55 0.9× 29 818

Countries citing papers authored by Ky-Youb Nam

Since Specialization
Citations

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

Fields of papers citing papers by Ky-Youb Nam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ky-Youb Nam. 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 Ky-Youb Nam. The network helps show where Ky-Youb Nam may publish in the future.

Co-authorship network of co-authors of Ky-Youb Nam

This figure shows the co-authorship network connecting the top 25 collaborators of Ky-Youb Nam. A scholar is included among the top collaborators of Ky-Youb Nam 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 Ky-Youb Nam. Ky-Youb Nam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
2.
Lim, Hocheol, et al.. (2019). Investigation of Hot Spot Region in XIAP Inhibitor Binding Site by Fragment Molecular Orbital Method. Computational and Structural Biotechnology Journal. 17. 1217–1225. 15 indexed citations
3.
Shin, Woo-Jin, et al.. (2016). Identification of a Small Benzamide Inhibitor of Influenza Virus Using a Cell-Based Screening. Chemotherapy. 61(3). 159–166. 5 indexed citations
4.
Nam, Ky-Youb, et al.. (2015). Inhibition of cancer cell invasion by new ((3,4-dihydroxy benzylidene)hydrazinyl)pyridine-3-sulfonamide analogs. Bioorganic & Medicinal Chemistry Letters. 26(4). 1322–1328. 18 indexed citations
5.
Lee, Sahmin, Hyun-Chae Lee, Yoo‐Wook Kwon, et al.. (2014). Adenylyl Cyclase-Associated Protein 1 Is a Receptor for Human Resistin and Mediates Inflammatory Actions of Human Monocytes. Cell Metabolism. 19(3). 484–497. 212 indexed citations
6.
Lee, Jee‐Young, et al.. (2013). Hesperidin Suppresses Melanosome Transport by Blocking the Interaction of Rab27A-Melanophilin. Biomolecules & Therapeutics. 21(5). 343–348. 25 indexed citations
7.
Lee, Ha Yeon, et al.. (2013). Identification of Novel Rab27a/Melanophilin Blockers by Pharmacophore-Based Virtual Screening. Applied Biochemistry and Biotechnology. 172(4). 1882–1897. 15 indexed citations
8.
Ye, Deju, Woo-Jin Shin, Ning Li, et al.. (2012). Synthesis of C-4-modified zanamivir analogs as neuraminidase inhibitors and their anti-AIV activities. European Journal of Medicinal Chemistry. 54. 764–770. 30 indexed citations
9.
Nam, Ky-Youb, et al.. (2012). Structure-Activity Relationship of Novel Lactam Based Histone Deacetylase Inhibitors as Potential Anticancer Drugs. Bulletin of the Korean Chemical Society. 33(6). 2063–2066. 9 indexed citations
10.
Nam, Ky-Youb, et al.. (2012). Ligand Aligning Method for Molecular Docking: Alignment of Property-Weighted Vectors. Journal of Chemical Information and Modeling. 52(4). 984–995. 2 indexed citations
11.
Nam, Ky-Youb, Won‐Seok Oh, Chul Kim, et al.. (2011). Computational Drug Discovery Approach Based on Nuclear Factor-κB Pathway Dynamics. Bulletin of the Korean Chemical Society. 32(12). 4397–4402. 2 indexed citations
12.
Choi, Inhee, et al.. (2010). Bayesian Model for the Classification of GPCR Agonists and Antagonists. Bulletin of the Korean Chemical Society. 31(8). 2163–2169. 3 indexed citations
13.
Oh, Won-Seok, et al.. (2009). Development of Classification Model for hERG Ion Channel Inhibitors Using SVM Method. Journal of the Korean Chemical Society. 53(6). 653–662. 2 indexed citations
14.
Park, Song-Kyu, Hwan Mook Kim, Yongseok Choi, et al.. (2007). Chromen-based TNF-α converting enzyme (TACE) inhibitors: Design, synthesis, and biological evaluation. Bioorganic & Medicinal Chemistry. 16(1). 530–535. 37 indexed citations
15.
Song, Eun Young, Navneet Kaur, Yinglan Jin, et al.. (2007). Synthesis of amide and urea derivatives of benzothiazole as Raf-1 inhibitor. European Journal of Medicinal Chemistry. 43(7). 1519–1524. 62 indexed citations
16.
Park, Song-Kyu, Sang‐Bae Han, Kiho Lee, et al.. (2006). Gelastatins and their hydroxamates as dual functional inhibitors for TNF-α converting enzyme and matrix metalloproteinases: Synthesis, biological evaluation, and mechanism studies. Biochemical and Biophysical Research Communications. 341(2). 627–634. 7 indexed citations
17.
Nam, Ky-Youb, et al.. (2005). The development of 3D-QSAR study and recursive partitioning of heterocyclic quinone derivatives with antifungal activity. Bioorganic & Medicinal Chemistry. 14(5). 1608–1617. 19 indexed citations
18.
Xiang, Bosong, James M. Gruschus, Ky-Youb Nam, et al.. (2003). Distortion of the Three-Dimensional Structure of the vnd/NK-2 Homeodomain Bound to DNA Induced by an Embryonically Lethal A35T Point Mutation. Biochemistry. 42(43). 12522–12531. 2 indexed citations
19.
No, Kyoung Tai, Ky-Youb Nam, & Harold A. Scheraga. (1997). Stability of Like and Oppositely Charged Organic Ion Pairs in Aqueous Solution. Journal of the American Chemical Society. 119(52). 12917–12922. 59 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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