Minky Son

947 total citations
40 papers, 744 citations indexed

About

Minky Son is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Minky Son has authored 40 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 15 papers in Organic Chemistry and 15 papers in Computational Theory and Mathematics. Recurrent topics in Minky Son's work include Computational Drug Discovery Methods (15 papers), Synthesis and biological activity (6 papers) and RNA and protein synthesis mechanisms (6 papers). Minky Son is often cited by papers focused on Computational Drug Discovery Methods (15 papers), Synthesis and biological activity (6 papers) and RNA and protein synthesis mechanisms (6 papers). Minky Son collaborates with scholars based in South Korea, United States and India. Minky Son's co-authors include Keun Woo Lee, Chanin Park, Shailima Rampogu, Ayoung Baek, Amir Zeb, Seok Ju Park, Parameswaran Saravanan, Shraddha Parate, Yeong Hun Song and Ki Hun Park and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Minky Son

40 papers receiving 735 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minky Son South Korea 18 435 215 157 137 108 40 744
Huy Truong Nguyen Vietnam 14 401 0.9× 154 0.7× 119 0.8× 120 0.9× 91 0.8× 58 830
Chanin Park South Korea 18 341 0.8× 197 0.9× 153 1.0× 49 0.4× 109 1.0× 35 650
Marco Tutone Italy 21 595 1.4× 262 1.2× 257 1.6× 65 0.5× 89 0.8× 74 1.2k
Ayoung Baek South Korea 15 330 0.8× 173 0.8× 123 0.8× 137 1.0× 41 0.4× 28 601
Alfonso Trezza Italy 16 369 0.8× 110 0.5× 82 0.5× 84 0.6× 65 0.6× 53 745
Preeti Gupta India 15 420 1.0× 131 0.6× 88 0.6× 53 0.4× 65 0.6× 28 688
Shama Khan South Africa 17 389 0.9× 176 0.8× 98 0.6× 31 0.2× 83 0.8× 44 705
Enade Perdana Istyastono Indonesia 15 441 1.0× 294 1.4× 259 1.6× 52 0.4× 143 1.3× 78 891
Zsófia Kutil Czechia 20 645 1.5× 88 0.4× 162 1.0× 103 0.8× 133 1.2× 39 992
Thet Thet Htar Malaysia 18 229 0.5× 71 0.3× 153 1.0× 100 0.7× 69 0.6× 41 671

Countries citing papers authored by Minky Son

Since Specialization
Citations

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

Fields of papers citing papers by Minky Son

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minky Son

This figure shows the co-authorship network connecting the top 25 collaborators of Minky Son. A scholar is included among the top collaborators of Minky Son 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 Minky Son. Minky Son 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.
Zeb, Amir, Dong Hwan Kim, Sayed Ibrar Alam, et al.. (2019). Computational Simulations Identify Pyrrolidine-2,3-Dione Derivatives as Novel Inhibitors of Cdk5/p25 Complex to Attenuate Alzheimer’s Pathology. Journal of Clinical Medicine. 8(5). 746–746. 11 indexed citations
2.
Rampogu, Shailima, Chanin Park, Minky Son, et al.. (2019). Pharmacotherapeutics and Molecular Mechanism of Phytochemicals in Alleviating Hormone-Responsive Breast Cancer. Oxidative Medicine and Cellular Longevity. 2019. 1–14. 17 indexed citations
3.
Rampogu, Shailima, Shraddha Parate, Parameswaran Saravanan, et al.. (2019). Natural compounds as potential Hsp90 inhibitors for breast cancer-Pharmacophore guided molecular modelling studies. Computational Biology and Chemistry. 83. 107113–107113. 28 indexed citations
4.
Zeb, Amir, et al.. (2019). Computational Simulations Identified Two Candidate Inhibitors of Cdk5/p25 to Abrogate Tau-associated Neurological Disorders. Computational and Structural Biotechnology Journal. 17. 579–590. 30 indexed citations
5.
Rampogu, Shailima, Amir Zeb, Minky Son, et al.. (2019). In Silico Study Probes Potential Inhibitors of Human Dihydrofolate Reductase for Cancer Therapeutics. Journal of Clinical Medicine. 8(2). 233–233. 17 indexed citations
6.
Rampogu, Shailima, Minky Son, Ayoung Baek, et al.. (2018). Targeting natural compounds against HER2 kinase domain as potential anticancer drugs applying pharmacophore based molecular modelling approaches. Computational Biology and Chemistry. 74. 327–338. 37 indexed citations
7.
Kumar, Raj, Parameswaran Saravanan, Rohit Bavi, et al.. (2018). Investigation of novel chemical scaffolds targeting prolyl oligopeptidase for neurological therapeutics. Journal of Molecular Graphics and Modelling. 88. 92–103. 11 indexed citations
8.
Uddin, Zia, Chanin Park, Yeong Hun Song, et al.. (2017). Competitive protein tyrosine phosphatase 1B (PTP1B) inhibitors, prenylated caged xanthones from Garcinia hanburyi and their inhibitory mechanism. Bioorganic & Medicinal Chemistry. 25(8). 2498–2506. 21 indexed citations
9.
Song, Yeong Hun, Dae Wook Kim, Marcus J. C. Long, et al.. (2016). Cinnamic acid amides from Tribulus terrestris displaying uncompetitive α-glucosidase inhibition. European Journal of Medicinal Chemistry. 114. 201–208. 70 indexed citations
10.
Bavi, Rohit, Raj Kumar, Shailima Rampogu, et al.. (2016). Molecular interactions of UvrB protein and DNA from Helicobacter pylori: Insight into a molecular modeling approach. Computers in Biology and Medicine. 75. 181–189. 13 indexed citations
11.
Thangapandian, Sundarapandian, Minky Son, Raj Kumar, et al.. (2016). QSAR modeling to design selective histone deacetylase 8 (HDAC8) inhibitors. Archives of Pharmacal Research. 39(10). 1356–1369. 12 indexed citations
12.
Kim, Yangseon, Minky Son, Soonok Kim, et al.. (2016). MP-V1 from the Venom of Social Wasp Vespula vulgaris Is a de Novo Type of Mastoparan that Displays Superior Antimicrobial Activities. Molecules. 21(4). 512–512. 16 indexed citations
13.
Kumar, Raj, Minky Son, Rohit Bavi, et al.. (2015). Novel chemical scaffolds of the tumor marker AKR1B10 inhibitors discovered by 3D QSAR pharmacophore modeling. Acta Pharmacologica Sinica. 36(8). 998–1012. 29 indexed citations
14.
Son, Minky, Chanin Park, Woo Young Bang, et al.. (2015). Structural importance of the C-terminal region in pig aldo-keto reductase family 1 member C1 and their effects on enzymatic activity. BMC Structural Biology. 15(1). 1–1. 17 indexed citations
15.
16.
Son, Minky, Ayoung Baek, Sugunadevi Sakkiah, et al.. (2013). Exploration of Virtual Candidates for Human HMG-CoA Reductase Inhibitors Using Pharmacophore Modeling and Molecular Dynamics Simulations. PLoS ONE. 8(12). e83496–e83496. 21 indexed citations
17.
John, Shalini, et al.. (2013). New insights in the activation of human cholesterol esterase to design potent anti-cholesterol drugs. Molecular Diversity. 18(1). 119–131. 7 indexed citations
18.
Sakkiah, Sugunadevi, et al.. (2012). Molecular Docking and Dynamics Simulation, Receptor‐based Hypothesis: Application to Identify Novel Sirtuin 2 Inhibitors. Chemical Biology & Drug Design. 80(2). 315–327. 15 indexed citations
19.
Thangapandian, Sundarapandian, et al.. (2012). Development of Predictive Quantitative Structure–Activity Relationship Model and Its Application in the Discovery of Human Leukotriene A4 Hydrolase Inhibitors. Future Medicinal Chemistry. 5(1). 27–40. 6 indexed citations
20.
Kim, Songmi, et al.. (2009). Molecular modeling study on the effect of residues distant from the nucleotide-binding portion on RNA binding in Staphylococcus aureus Hfq. Journal of Molecular Graphics and Modelling. 28(3). 253–260. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Huy Truong Nguyen Breakdown of academic impact, for papers by Chanin Park Breakdown of academic impact, for papers by Marco Tutone Breakdown of academic impact, for papers by Ayoung Baek Breakdown of academic impact, for papers by Alfonso Trezza Breakdown of academic impact, for papers by Preeti Gupta Breakdown of academic impact, for papers by Shama Khan Breakdown of academic impact, for papers by Enade Perdana Istyastono Breakdown of academic impact, for papers by Zsófia Kutil Breakdown of academic impact, for papers by Thet Thet Htar
Rankless by CCL
2026