Sun Choi

119 papers receiving 3.9k citations

Sun Choi's Hit Papers

Role of computer-aided drug design in modern drug discovery 2015 · 579 citations
5790+3+7Years since publication100200300400500

Peers

Sun Choi
Comparison fields: 5 of 131
  • Sensory Systems 418
  • Computational Theory and Mathematics 927
  • Physiology 124
  • Microbiology 141
  • Molecular Biology 1.3k
Replace Shuguang Yuan with:
Shuguang Yuan China
G. Madhavi Sastry India
Meng Cui United States
J. Malcolm East United Kingdom
Paul C. Sanschagrin United States
Didier Rognan France
Julio Caballero Chile
Franz Bracher Germany
Xuan-Yu Meng China
Jasna J. Klicic United States
Sun Choi relative to Shuguang Yuan China Shuguang Yuan's profile →
Citations per field
00.5×2×4×5.2×
Shuguang Yuan · 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 121 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 →
2015579
2 2017238
3 2018211
4 2016177
5 2020154
6 2009145
7 2018105
8 201796
9 201886
10 200881
11 201081
12 201574
13 201965
14 201163
15 201058
16 201356
17 202252
18 201651
19 201350
20 201148

About Sun Choi

Sun Choi is a scholar working on Sensory Systems, Computational Theory and Mathematics, Molecular Biology, Physiology and Organic Chemistry, having authored 121 papers that have together received 4k indexed citations. Recurring topics across this work include Ion Channels and Receptors (27 papers), Computational Drug Discovery Methods (19 papers), Receptor Mechanisms and Signaling (11 papers), Adenosine and Purinergic Signaling (7 papers), Protein Structure and Dynamics (5 papers), Synthesis and biological activity (5 papers), Alzheimer's disease research and treatments (4 papers) and Synthesis and Characterization of Heterocyclic Compounds (4 papers). The work is most often cited by research in Sensory Systems (418 citations), Computational Theory and Mathematics (927 citations), Physiology (124 citations), Microbiology (141 citations) and Molecular Biology (1.3k 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, Balachandran Manavalan and Jin Hee Lee. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, International Journal of Molecular Sciences and Archives of Pharmacal Research.

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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