Sohee Kwon

414 total citations
12 papers, 176 citations indexed

About

Sohee Kwon is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Sohee Kwon has authored 12 papers receiving a total of 176 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 2 papers in Pharmacology. Recurrent topics in Sohee Kwon's work include Protein Structure and Dynamics (8 papers), Computational Drug Discovery Methods (6 papers) and Machine Learning in Bioinformatics (4 papers). Sohee Kwon is often cited by papers focused on Protein Structure and Dynamics (8 papers), Computational Drug Discovery Methods (6 papers) and Machine Learning in Bioinformatics (4 papers). Sohee Kwon collaborates with scholars based in South Korea, United States and Puerto Rico. Sohee Kwon's co-authors include Chaok Seok, Jonghun Won, Andriy Kryshtafovych, Ji‐Hyun Lee, Hyeonuk Woo, Gyu Rie Lee, Seeun Kim, Hahnbeom Park, John Moult and Dennis Della Corte and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

Sohee Kwon

12 papers receiving 174 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sohee Kwon South Korea 8 122 43 39 22 16 12 176
Kazuyoshi Ikeda Japan 10 175 1.4× 75 1.7× 30 0.8× 18 0.8× 9 0.6× 28 226
Ida de Vries Netherlands 2 211 1.7× 55 1.3× 61 1.6× 11 0.5× 9 0.6× 4 277
Anh Miu Canada 5 165 1.4× 46 1.1× 33 0.8× 8 0.4× 33 2.1× 6 223
N. Hung United States 10 156 1.3× 53 1.2× 36 0.9× 10 0.5× 27 1.7× 19 227
Tolulope Adeyelu United States 7 150 1.2× 27 0.6× 16 0.4× 8 0.4× 8 0.5× 25 220
Anastasiia Gusach United States 7 128 1.0× 26 0.6× 21 0.5× 7 0.3× 48 3.0× 11 162
Emma K. Livingstone Australia 4 225 1.8× 13 0.3× 74 1.9× 9 0.4× 20 1.3× 6 272
Shuichi Hirose Japan 11 362 3.0× 29 0.7× 120 3.1× 10 0.5× 16 1.0× 18 464
M. Hofmann Germany 7 83 0.7× 40 0.9× 6 0.2× 9 0.4× 21 1.3× 11 189
Chongzhao You China 6 175 1.4× 47 1.1× 11 0.3× 11 0.5× 64 4.0× 11 228

Countries citing papers authored by Sohee Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Sohee Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sohee Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Sohee Kwon. A scholar is included among the top collaborators of Sohee Kwon 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 Sohee Kwon. Sohee Kwon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Kwon, Sohee, et al.. (2024). GalaxySagittarius-AF: Predicting Targets for Drug-Like Compounds in the Extended Human 3D Proteome. Journal of Molecular Biology. 436(17). 168617–168617. 3 indexed citations
2.
Kim, Sung‐Soo, et al.. (2023). Machine Learning of Physiologic Waveforms and Electronic Health Record Data. Critical Care Clinics. 39(4). 675–687. 2 indexed citations
3.
Lee, Changsoo, et al.. (2023). GalaxyDock2‐HEME: Protein–ligand docking for heme proteins. Journal of Computational Chemistry. 44(14). 1369–1380. 4 indexed citations
4.
Kang, Hyunook, Yeol Kyo Choi, Sohee Kwon, et al.. (2022). Structural basis for Y2 receptor-mediated neuropeptide Y and peptide YY signaling. Structure. 31(1). 44–57.e6. 13 indexed citations
5.
Lee, Jae Wook, Sohee Kwon, Jaehun Lee, et al.. (2022). A pGpG-specific phosphodiesterase regulates cyclic di-GMP signaling in Vibrio cholerae. Journal of Biological Chemistry. 298(3). 101626–101626. 11 indexed citations
6.
Kwon, Sohee & Chaok Seok. (2022). CSAlign and CSAlign-Dock: Structure alignment of ligands considering full flexibility and application to protein–ligand docking. Computational and Structural Biotechnology Journal. 21. 1–10. 8 indexed citations
7.
Kim, Seeun, Gyu Rie Lee, Sohee Kwon, et al.. (2022). Evaluating GPCR modeling and docking strategies in the era of deep learning-based protein structure prediction. Computational and Structural Biotechnology Journal. 21. 158–167. 26 indexed citations
8.
Kwon, Sohee, et al.. (2022). HProteome-BSite: predicted binding sites and ligands in human 3D proteome. Nucleic Acids Research. 51(D1). D403–D408. 12 indexed citations
9.
Kryshtafovych, Andriy, John Moult, Dennis Della Corte, et al.. (2021). Modeling SARS‐CoV‐2 proteins in the CASP‐commons experiment. Proteins Structure Function and Bioinformatics. 89(12). 1987–1996. 17 indexed citations
10.
Kwon, Sohee, Jonghun Won, Andriy Kryshtafovych, & Chaok Seok. (2021). Assessment of protein model structure accuracy estimation in CASP14 : Old and new challenges. Proteins Structure Function and Bioinformatics. 89(12). 1940–1948. 38 indexed citations
11.
Park, Taeyong, et al.. (2021). Protein oligomer structure prediction using GALAXY in CASP14. Proteins Structure Function and Bioinformatics. 89(12). 1844–1851. 6 indexed citations
12.
Kwon, Sohee, et al.. (2020). GalaxySagittarius: Structure- and Similarity-Based Prediction of Protein Targets for Druglike Compounds. Journal of Chemical Information and Modeling. 60(6). 3246–3254. 36 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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