Sunyong Yoo

452 total citations
34 papers, 296 citations indexed

About

Sunyong Yoo is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Sunyong Yoo has authored 34 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Computational Theory and Mathematics and 5 papers in Artificial Intelligence. Recurrent topics in Sunyong Yoo's work include Computational Drug Discovery Methods (13 papers), Biomedical Text Mining and Ontologies (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Sunyong Yoo is often cited by papers focused on Computational Drug Discovery Methods (13 papers), Biomedical Text Mining and Ontologies (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Sunyong Yoo collaborates with scholars based in South Korea and United Kingdom. Sunyong Yoo's co-authors include Doheon Lee, Hojung Nam, Kwansoo Kim, So Yeon Lee, Moonshik Shin, Eun-Joo Lee, Jin‐Myung Jung, Su Yeon Kim, Han Seung Jang and Junseok Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Sunyong Yoo

32 papers receiving 289 citations

Peers

Sunyong Yoo

CTM

EEE

PHARM

Chen Zhao China

Chuanbiao Wen China

Haotian Li China

Vikas Kumar South Korea

Alex G. C. de Sá Australia

Kun Jiang China

Wenxuan Wang China

Mi Hyeon Park South Korea

Shivani Kumar India

Chen Zhao China

Sunyong Yoo

144 ×1.6

39 ×0.5

CTM

28 ×0.8

EEE

43 ×1.2

PHARM

55 ×1.8

Citations per year, relative to Sunyong Yoo Sunyong Yoo (= 1×) peers Chen Zhao

Countries citing papers authored by Sunyong Yoo

Since Specialization

Citations

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

Fields of papers citing papers by Sunyong Yoo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunyong Yoo

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

All Works

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20 of 20 papers shown

Yoo, Sunyong, et al.. (2025). hERGAT: predicting hERG blockers using graph attention mechanism through atom- and molecule-level interaction analyses. Journal of Cheminformatics. 17(1). 11–11. 2 indexed citations

Kim, Kyeong Jin, et al.. (2024). Enhancing intestinal health with germinated oats: Bioinformatics and compound profiling insights into a novel approach for managing inflammatory bowel disease. Food Bioscience. 61. 104833–104833. 1 indexed citations

Lee, So Yeon, et al.. (2024). Prediction of bioactive compounds hepatotoxicity using in silico and in vitro analysis. Applied Biological Chemistry. 67(1).

Kim, Su Yeon, et al.. (2024). Passing Word Line-Induced Subthreshold Leakage Reduction Using a Partial Insulator in a Buried Channel Array Transistor. IEEE Transactions on Electron Devices. 71(5). 2976–2982. 5 indexed citations

Yoo, Sunyong, et al.. (2024). Interpretable Prediction of SARS-CoV-2 Epitope-Specific TCR Recognition Using a Pre-Trained Protein Language Model. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(3). 428–438. 2 indexed citations

Lee, So Yeon & Sunyong Yoo. (2024). InterDILI: interpretable prediction of drug-induced liver injury through permutation feature importance and attention mechanism. Journal of Cheminformatics. 16(1). 1–1. 24 indexed citations

Yoo, Sunyong, et al.. (2024). FetoML: Interpretable predictions of the fetotoxicity of drugs based on machine learning approaches. Molecular Informatics. 43(6). e202300312–e202300312. 3 indexed citations

Yoo, Sunyong, et al.. (2024). Interpretable prediction of drug-drug interactions via text embedding in biomedical literature. Computers in Biology and Medicine. 185. 109496–109496. 2 indexed citations

Jung, Jin‐Myung & Sunyong Yoo. (2023). Identification of Breast Cancer Metastasis Markers from Gene Expression Profiles Using Machine Learning Approaches. Genes. 14(9). 1820–1820. 8 indexed citations

10.

Yoo, Sunyong, et al.. (2023). Medical service utilization by children with physical or brain disabilities in South Korea. BMC Pediatrics. 23(1). 487–487. 1 indexed citations

11.

Kim, Su Yeon, et al.. (2022). Row Hammer Reduction Using a Buried Insulator in a Buried Channel Array Transistor. IEEE Transactions on Electron Devices. 69(12). 6710–6716. 16 indexed citations

12.

Song, Min‐Keun, et al.. (2022). Predicting Ischemic Stroke in Patients with Atrial Fibrillation Using Machine Learning. Frontiers in Bioscience-Landmark. 27(3). 80–80. 22 indexed citations

13.

Yoo, Sunyong, Dong Wook Kim, Young‐Eun Kim, et al.. (2021). Data resource profile: the allergic disease database of the Korean National Health Insurance Service. Epidemiology and Health. 43. e2021010–e2021010. 3 indexed citations

14.

Kim, Su Yeon, et al.. (2021). S-TAT Leakage Current in Partial Isolation Type Saddle-FinFET (Pi-FinFET)s. IEEE Access. 9. 111567–111575. 6 indexed citations

15.

Yoo, Sunyong, et al.. (2021). Machine Learning-based Stroke Risk Prediction using Public Big Data. 25(1). 96–101. 2 indexed citations

16.

Park, Junseok, et al.. (2020). An interactive retrieval system for clinical trial studies with context-dependent protocol elements. PLoS ONE. 15(9). e0238290–e0238290. 3 indexed citations

17.

Yoo, Sunyong, Hojung Nam, & Doheon Lee. (2018). Phenotype-oriented network analysis for discovering pharmacological effects of natural compounds. Scientific Reports. 8(1). 11667–11667. 12 indexed citations

18.

Yoo, Sunyong, et al.. (2018). In silico profiling of systemic effects of drugs to predict unexpected interactions. Scientific Reports. 8(1). 1612–1612. 14 indexed citations

19.

Yoo, Sunyong, et al.. (2016). Prediction of compound-target interactions of natural products using large-scale drug and protein information. BMC Bioinformatics. 17(S6). 219–219. 20 indexed citations

20.

Yoo, Sunyong, Moonshik Shin, & Doheon Lee. (2012). An Approach to Reducing Information Loss and Achieving Diversity of Sensitive Attributes in k-anonymity Methods. SHILAP Revista de lepidopterología. 1(2). e14–e14. 6 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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