Junsu Ko
Impact in
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- Long-Term Effects of COVID-19
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Protein Structure and Dynamics 4
- Genomics and Phylogenetic Studies 3
- Machine Learning in Bioinformatics 2
- Genetics, Bioinformatics, and Biomedical Research 1
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- Enzyme Structure and Function 3
- Co-authors
- Chaok Seok (3 shared papers)Hahnbeom Park (3 shared papers)Jaemyun Lyu (2 shared papers)Young‐Chan Kwon (2 shared papers)Gi Uk Jeong (2 shared papers)Kyun‐Do Kim (2 shared papers)Gun Young Yoon (2 shared papers)June‐Yong Lee (1 shared paper)
- Journals
- Scientific Reports (2 papers)BMC Genomics (2 papers)BMC Bioinformatics (2 papers)Data in Brief (1 paper)Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology (1 paper)
- Partner nations
- South KoreaUnited StatesFrance
In The Last Decade
Junsu Ko
13 papers receiving 399 citations
Peers
Comparison fields: 5 of 89
- Neurology 45
- Neurology 61
- Biological Psychiatry 10
- Infectious Diseases 62
- Pharmacology 51
Countries citing papers authored by Junsu Ko
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
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-authors
The 25 scholars most cited alongside Junsu Ko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 90 | |
| 2 | 2012 | 82 | |
| 3 | 2019 | 48 | |
| 4 | 2015 | 38 | |
| 5 | 2013 | 31 | |
| 6 | 2011 | 28 | |
| 7 | 2017 | 18 | |
| 8 | 2015 | 14 | |
| 9 | 2020 | 14 | |
| 10 | 2022 | 12 | |
| 11 | 2023 | 11 | |
| 12 | 2017 | 10 | |
| 13 | 2022 | 5 |
About Junsu Ko
Junsu Ko is a scholar working on Molecular Biology, Materials Chemistry, Infectious Diseases, Pharmacology and Neurology, having authored 13 papers that have together received 401 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Genomics and Phylogenetic Studies (3 papers), Enzyme Structure and Function (3 papers), Machine Learning in Bioinformatics (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Fungal Biology and Applications (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Forensic and Genetic Research (1 paper). The work is most often cited by research in Neurology (45 citations), Neurology (61 citations), Biological Psychiatry (10 citations), Infectious Diseases (62 citations) and Pharmacology (51 citations). Junsu Ko has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Chaok Seok, Hahnbeom Park, Jaemyun Lyu, Young‐Chan Kwon, Gi Uk Jeong, Kyun‐Do Kim, Gun Young Yoon, June‐Yong Lee, Hasup Lee and Sumin Lee. Their work appears in journals such as Scientific Reports, BMC Genomics, BMC Bioinformatics, Data in Brief and Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology.
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.