Junsu Ko

1.4k total citations
13 papers, 401 citations indexed

About

Junsu Ko is a scholar working on Molecular Biology, Materials Chemistry and Infectious Diseases. According to data from OpenAlex, Junsu Ko has authored 13 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Materials Chemistry and 2 papers in Infectious Diseases. Recurrent topics in Junsu Ko's work include Protein Structure and Dynamics (4 papers), Genomics and Phylogenetic Studies (3 papers) and Enzyme Structure and Function (3 papers). Junsu Ko is often cited by papers focused on Protein Structure and Dynamics (4 papers), Genomics and Phylogenetic Studies (3 papers) and Enzyme Structure and Function (3 papers). Junsu Ko collaborates with scholars based in South Korea, United States and United Kingdom. Junsu Ko's co-authors include Chaok Seok, Hahnbeom Park, Kyun‐Do Kim, Gun Young Yoon, Young‐Chan Kwon, Jaemyun Lyu, Gi Uk Jeong, Young Cheul Chung, June‐Yong Lee and Hasup Lee and has published in prestigious journals such as Bioinformatics, Journal of Virology and Scientific Reports.

In The Last Decade

Junsu Ko

13 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junsu Ko South Korea 11 202 62 61 53 52 13 401
Brian M. Suzuki United States 19 258 1.3× 60 1.0× 38 0.6× 20 0.4× 14 0.3× 32 901
Yangshin Park United States 11 194 1.0× 17 0.3× 55 0.9× 80 1.5× 36 0.7× 16 305
B. K. Chandrasekhar Sagar India 11 136 0.7× 23 0.4× 74 1.2× 17 0.3× 5 0.1× 21 380
Tania Morán Luengo Netherlands 5 610 3.0× 19 0.3× 18 0.3× 28 0.5× 117 2.3× 5 720
Abdessamad Tahiri‐Alaoui United Kingdom 16 699 3.5× 20 0.3× 15 0.2× 86 1.6× 18 0.3× 25 822
Scott McClung United States 11 256 1.3× 10 0.2× 48 0.8× 83 1.6× 12 0.2× 14 434
Li-Lian Chao Taiwan 16 196 1.0× 346 5.6× 9 0.1× 31 0.6× 23 0.4× 49 731
Michal Bejerano‐Sagie Israel 12 374 1.9× 26 0.4× 14 0.2× 43 0.8× 16 0.3× 18 578
P D Gorevic United States 9 345 1.7× 125 2.0× 18 0.3× 8 0.2× 22 0.4× 10 578

Countries citing papers authored by Junsu Ko

Since Specialization
Citations

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

Fields of papers citing papers by Junsu Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junsu Ko

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

All Works

13 of 13 papers shown
1.
Jeong, Gi Uk, Do Yeon Kim, Jaemyun Lyu, et al.. (2023). Zika Virus Infection Induces Interleukin-1β-Mediated Inflammatory Responses by Macrophages in the Brain of an Adult Mouse Model. Journal of Virology. 97(6). e0055623–e0055623. 11 indexed citations
2.
Hong, Yiyu, et al.. (2022). S-Pred: protein structural property prediction using MSA transformer. Scientific Reports. 12(1). 13891–13891. 5 indexed citations
3.
Hong, Yiyu, Juyong Lee, & Junsu Ko. (2022). A-Prot: protein structure modeling using MSA transformer. BMC Bioinformatics. 23(1). 93–93. 12 indexed citations
4.
Jeong, Gi Uk, Jaemyun Lyu, Kyun‐Do Kim, et al.. (2022). SARS-CoV-2 Infection of Microglia Elicits Proinflammatory Activation and Apoptotic Cell Death. Microbiology Spectrum. 10(3). e0109122–e0109122. 90 indexed citations
5.
Hong, Yiyu, Hannah Lee, Donghwan Lee, et al.. (2020). Deep learning method for comet segmentation and comet assay image analysis. Scientific Reports. 10(1). 18915–18915. 14 indexed citations
6.
Yoo, Seung‐il, Hwa-Yong Lee, Kesavan Markkandan, et al.. (2019). Comparative transcriptome analysis identified candidate genes involved in mycelium browning in Lentinula edodes. BMC Genomics. 20(1). 121–121. 48 indexed citations
7.
Ahn, Yong Ju, et al.. (2017). Long-read transcriptome data for improved gene prediction in Lentinula edodes. Data in Brief. 15. 454–458. 10 indexed citations
8.
Jung, Jee-Hyun, Junsu Ko, Eunhee Lee, et al.. (2017). RNA seq- and DEG-based comparison of developmental toxicity in fish embryos of two species exposed to Iranian heavy crude oil. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 196. 1–10. 18 indexed citations
9.
Ilyas, Muhammad, Jong-Soo Kim, Youngah Shin, et al.. (2015). Whole genome sequencing of an ethnic Pathan (Pakhtun) from the north-west of Pakistan. BMC Genomics. 16(1). 172–172. 14 indexed citations
11.
Lee, Hasup, Hahnbeom Park, Junsu Ko, & Chaok Seok. (2013). GalaxyGemini: a web server for protein homo-oligomer structure prediction based on similarity. Bioinformatics. 29(8). 1078–1080. 31 indexed citations
12.
Ko, Junsu, Hahnbeom Park, & Chaok Seok. (2012). GalaxyTBM: template-based modeling by building a reliable core and refining unreliable local regions. BMC Bioinformatics. 13(1). 198–198. 82 indexed citations
13.
Park, Hahnbeom, et al.. (2011). Refinement of protein termini in template‐based modeling using conformational space annealing. Proteins Structure Function and Bioinformatics. 79(9). 2725–2734. 28 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026