Sun Choi

117 papers receiving 3.7k citations

Sun Choi's Hit Papers

Role of computer-aided drug design in modern drug discovery 2015 · 555 citations
5550+3+7Years since publication100200300400500

Peers

Sun Choi
Comparison fields: 5 of 139
  • Sensory Systems 414
  • Toxicology 139
  • Computational Theory and Mathematics 674
  • Physiology 165
  • Molecular Biology 2.0k
Replace Liangren Zhang with:
Liangren Zhang China
A. Ganesan United Kingdom
Thanigaimalai Pillaiyar Germany
Shuichi Hirono Japan
Jiyoun Lee South Korea
Shuguang Yuan China
Xuan-Yu Meng China
Hyung Ryong Moon South Korea
Alessandro Pedretti Italy
Julio Caballero Chile
Sun Choi relative to Liangren Zhang China Liangren Zhang's profile →
Citations per field
00.5×1.5×1.8×
Liangren Zhang · 1×
Citations per year

Countries citing papers authored by Sun Choi

Since Specialization
Citations

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

Fields of papers citing papers by Sun Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sun Choi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sun Choi Line = papers co-authored together Sun Choi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Role of computer-aided drug design in modern drug discovery
Hit paper breakdown →
2015555
2 2017232
3 2018202
4 2016171
5 2009141
6 2020139
7 2018106
8 201794
9 200881
10 201880
11 201076
12 201574
13 201961
14 201059
15 201156
16 201355
17 201349
18 201147
19 200944
20 201743

About Sun Choi

Sun Choi is a scholar working on Molecular Biology, Sensory Systems, Organic Chemistry, Cellular and Molecular Neuroscience and Computational Theory and Mathematics, having authored 118 papers that have together received 3.8k indexed citations. Recurring topics across this work include Ion Channels and Receptors (28 papers), Receptor Mechanisms and Signaling (15 papers), Computational Drug Discovery Methods (15 papers), Phytochemicals and Antioxidant Activities (12 papers), Adenosine and Purinergic Signaling (11 papers), Ion channel regulation and function (9 papers), Pain Mechanisms and Treatments (9 papers) and Bioactive Compounds and Antitumor Agents (7 papers). The work is most often cited by research in Sensory Systems (414 citations), Toxicology (139 citations), Computational Theory and Mathematics (674 citations), Physiology (165 citations) and Molecular Biology (2.0k citations). Sun Choi has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Sunhye Hong, Stephani Joy Y. Macalino, Yoonji Lee, Shaherin Basith, Vijayakumar Gosu, Minghua Cui, Raudah Lazim, Donghyuk Suh, Jin Hee Lee and Balachandran Manavalan. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Archives of Pharmacal Research and International Journal of Molecular Sciences.

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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