Keunwan Park

1.6k total citations
68 papers, 1.0k citations indexed

About

Keunwan Park is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Keunwan Park has authored 68 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 15 papers in Computational Theory and Mathematics and 13 papers in Pharmacology. Recurrent topics in Keunwan Park's work include Computational Drug Discovery Methods (15 papers), Protein Structure and Dynamics (11 papers) and Alzheimer's disease research and treatments (10 papers). Keunwan Park is often cited by papers focused on Computational Drug Discovery Methods (15 papers), Protein Structure and Dynamics (11 papers) and Alzheimer's disease research and treatments (10 papers). Keunwan Park collaborates with scholars based in South Korea, United States and Japan. Keunwan Park's co-authors include Dongsup Kim, David Baker, Hak‐Sung Kim, Fabio Parmeggiani, Po‐Ssu Huang, Hae‐Kap Cheong, Joong‐jae Lee, Prasannavenkatesh Durai, Hyun Sik Kim and Soyoung Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Angewandte Chemie International Edition.

In The Last Decade

Keunwan Park

63 papers receiving 999 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keunwan Park South Korea 20 688 158 140 94 82 68 1.0k
Devrishi Goswami United States 22 995 1.4× 59 0.4× 97 0.7× 98 1.0× 50 0.6× 28 1.5k
Sheraz Gul Germany 20 736 1.1× 116 0.7× 52 0.4× 78 0.8× 74 0.9× 90 1.2k
Assaf Alon United States 13 838 1.2× 69 0.4× 81 0.6× 147 1.6× 39 0.5× 17 1.1k
Brian J. Bender United States 11 492 0.7× 207 1.3× 58 0.4× 71 0.8× 39 0.5× 22 751
Maryam Hamzeh‐Mivehroud Iran 18 511 0.7× 179 1.1× 156 1.1× 40 0.4× 129 1.6× 74 956
Usha Warrior United States 21 672 1.0× 84 0.5× 59 0.4× 51 0.5× 57 0.7× 44 1.2k
L. Michel Espinoza‐Fonseca United States 20 833 1.2× 119 0.8× 42 0.3× 153 1.6× 116 1.4× 59 1.1k
Ilaria Piazza Germany 12 925 1.3× 107 0.7× 50 0.4× 73 0.8× 40 0.5× 23 1.2k
Paul L. Richardson United States 19 851 1.2× 224 1.4× 87 0.6× 102 1.1× 170 2.1× 44 1.4k
Ireos Filipuzzi Switzerland 13 687 1.0× 67 0.4× 53 0.4× 32 0.3× 72 0.9× 21 897

Countries citing papers authored by Keunwan Park

Since Specialization
Citations

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

Fields of papers citing papers by Keunwan Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keunwan Park

This figure shows the co-authorship network connecting the top 25 collaborators of Keunwan Park. A scholar is included among the top collaborators of Keunwan Park 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 Keunwan Park. Keunwan Park 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.
2.
Kim, Seok‐Mo, Keunwan Park, Keunwan Park, et al.. (2025). Identification of new small molecules for selective inhibition of SERCA 1 in patient‐derived metastatic papillary thyroid cancer. British Journal of Pharmacology. 182(11). 2392–2408. 2 indexed citations
3.
Kim, Doh-Yeon, et al.. (2025). Computational insights into fucoidan–receptor binding: Implications for fucoidan-based targeted drug delivery. Drug Discovery Today. 30(3). 104315–104315. 2 indexed citations
4.
Park, Hee Sun, Jong‐Hwan Lee, Keunwan Park, et al.. (2024). Stable and reusable calcium‐responsive biopolymer for affinity precipitation of therapeutic antibodies. Protein Science. 33(8). e5066–e5066.
5.
Jin, Bo‐Ram, Jaeyoung Kwon, Keunwan Park, et al.. (2024). New Pimarane Diterpenoids Isolated from EtOAc-Extract of Apiospora arundinis Culture Medium Show Antibenign Prostatic Hyperplasia Potential. ACS Omega. 9(5). 5616–5623. 1 indexed citations
6.
Lee, Hyeon‐Seong, Tack‐Joong Kim, Hak Cheol Kwon, et al.. (2024). Glycolipids Derived from the Korean Endemic Plant Aruncus aethusifolius Inducing Glucose Uptake in Mouse Skeletal Muscle C2C12 Cells. Plants. 13(5). 608–608. 1 indexed citations
7.
Durai, Prasannavenkatesh, et al.. (2023). Iterative machine learning-based chemical similarity search to identify novel chemical inhibitors. Journal of Cheminformatics. 15(1). 86–86. 2 indexed citations
8.
Kim, Hye Yun, Y.S. Kwon, Keunwan Park, et al.. (2023). Glycosylated and Succinylated Macrocyclic Lactones with Amyloid-β-Aggregation-Regulating Activity from a Marine Bacillus sp.. Marine Drugs. 21(2). 67–67. 3 indexed citations
9.
Durai, Prasannavenkatesh, et al.. (2023). Domain-wise dissection of thermal stability enhancement in multidomain proteins. International Journal of Biological Macromolecules. 237. 124141–124141. 7 indexed citations
10.
Durai, Prasannavenkatesh, et al.. (2021). A Novel Competitive Binding Screening Assay Reveals Sennoside B as a Potent Natural Product Inhibitor of TNF-α. Biomedicines. 9(9). 1250–1250. 2 indexed citations
11.
Albert, Shine K., Sunghee Lee, Prasannavenkatesh Durai, et al.. (2021). Janus Nanosheets with Face‐Selective Molecular Recognition Properties from DNA–Peptide Conjugates. Small. 17(12). e2006110–e2006110. 20 indexed citations
12.
Kwon, Moonhyuk, Keunwan Park, Cheol‐Ho Pan, et al.. (2021). Cytochrome P450-Catalyzed Biosynthesis of a Dihydrofuran Neoclerodane in Magic Mint (Salvia divinorum). ACS Catalysis. 12(1). 777–782. 12 indexed citations
13.
Kim, Mi Ae, et al.. (2021). NPF activates a specific NPF receptor and regulates food intake in Pacific abalone Haliotis discus hannai. Scientific Reports. 11(1). 20912–20912. 9 indexed citations
14.
Shin, Jisu, Seung‐Hoon Yang, Keunwan Park, et al.. (2020). Borrelidin from Saltern-Derived Halophilic Nocardiopsis sp. Dissociates Amyloid-β and Tau Fibrils. Journal of Alzheimer s Disease Reports. 5(1). 7–13. 4 indexed citations
15.
Kim, Hye Yun, Sejin Lee, Jisu Shin, et al.. (2020). Discovery of Chemicals to Either Clear or Indicate Amyloid Aggregates by Targeting Memory‐Impairing Anti‐Parallel Aβ Dimers. Angewandte Chemie International Edition. 59(28). 11491–11500. 19 indexed citations
16.
Foight, Glenna, Zhizhi Wang, Per Greisen, et al.. (2019). Multi-input chemical control of protein dimerization for programming graded cellular responses. Nature Biotechnology. 37(10). 1209–1216. 57 indexed citations
17.
Lee, Yuno, Joong‐jae Lee, Songmi Kim, et al.. (2014). Dissecting the Critical Factors for Thermodynamic Stability of Modular Proteins Using Molecular Modeling Approach. PLoS ONE. 9(5). e98243–e98243. 19 indexed citations
18.
Han, Jieun, Hyun Jung Kim, Hyun Jung Kim, et al.. (2012). Structure-Based Rational Design of a Toll-like Receptor 4 (TLR4) Decoy Receptor with High Binding Affinity for a Target Protein. PLoS ONE. 7(2). e30929–e30929. 24 indexed citations
19.
Park, Keunwan & Dongsup Kim. (2012). Structure-based rebuilding of coevolutionary information reveals functional modules in rhodopsin structure. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1824(12). 1484–1489. 4 indexed citations
20.
Park, Keunwan, Soyoung Lee, Hee‐Sung Ahn, & Dongsup Kim. (2009). Predicting the multi-modal binding propensity of small molecules: towards an understanding of drug promiscuity. Molecular BioSystems. 5(8). 844–853. 13 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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