Minky Son
Impact in
-
- Computational Drug Discovery Methods
- Toxicology top 10%
Papers in
-
- RNA and protein synthesis mechanisms 6
- RNA Research and Splicing 3
- Chemical Synthesis and Analysis 3
-
- Computational Drug Discovery Methods 15
- Co-authors
- Keun Woo Lee (30 shared papers)Chanin Park (30 shared papers)Shailima Rampogu (20 shared papers)Ayoung Baek (20 shared papers)Amir Zeb (15 shared papers)Seok Ju Park (9 shared papers)Shraddha Parate (6 shared papers)Ki Hun Park (2 shared papers)
- Journals
- Journal of Clinical Medicine (3 papers)Journal of Molecular Graphics and Modelling (3 papers)BioMed Research International (2 papers)Molecules (2 papers)PLoS ONE (2 papers)
- Partner nations
- South KoreaUnited StatesThailand
In The Last Decade
Minky Son
40 papers receiving 767 citations
Peers
Comparison fields: 5 of 91
- Computational Theory and Mathematics 212
- Toxicology 25
- Pharmacology 109
- Molecular Biology 435
- Drug Discovery 1
Countries citing papers authored by Minky Son
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
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-authors
The 25 scholars most cited alongside Minky Son, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 103 | |
| 2 | 2016 | 73 | |
| 3 | 2018 | 39 | |
| 4 | 2019 | 35 | |
| 5 | 1993 | 32 | |
| 6 | 2019 | 31 | |
| 7 | 2020 | 30 | |
| 8 | 2015 | 29 | |
| 9 | 2019 | 28 | |
| 10 | 2017 | 26 | |
| 11 | 2018 | 26 | |
| 12 | 2017 | 24 | |
| 13 | 2013 | 22 | |
| 14 | 2018 | 22 | |
| 15 | 2019 | 20 | |
| 16 | 2019 | 20 | |
| 17 | 2015 | 17 | |
| 18 | 2016 | 17 | |
| 19 | 2019 | 17 | |
| 20 | 2020 | 16 |
About Minky Son
Minky Son is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Pharmacology and Cell Biology, having authored 40 papers that have together received 776 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), RNA and protein synthesis mechanisms (6 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Synthesis and biological activity (5 papers), Click Chemistry and Applications (4 papers), RNA Research and Splicing (3 papers), Chemical Synthesis and Analysis (3 papers) and Aldose Reductase and Taurine (3 papers). The work is most often cited by research in Computational Theory and Mathematics (212 citations), Toxicology (25 citations), Pharmacology (109 citations), Molecular Biology (435 citations) and Drug Discovery (1 citation). Minky Son has collaborated with scholars based in South Korea, United States and Thailand. Frequent co-authors include Keun Woo Lee, Chanin Park, Shailima Rampogu, Ayoung Baek, Amir Zeb, Seok Ju Park, Shraddha Parate, Ki Hun Park, Yeong Hun Song and Gihwan Lee. Their work appears in journals such as Journal of Clinical Medicine, Journal of Molecular Graphics and Modelling, BioMed Research International, Molecules and PLoS ONE.
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.