Kyuri Jo
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Bioinformatics and Genomic Networks 11
- Gene expression and cancer classification 5
- Gene Regulatory Network Analysis 3
- Metabolomics and Mass Spectrometry Studies 2
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- Computational Drug Discovery Methods 10
- Co-authors
- Sun Kim (14 shared papers)Hawk-Bin Kwon (1 shared paper)Yong Geun Jeon (4 shared papers)Inuk Jung (4 shared papers)Jae Bum Kim (4 shared papers)Sung Sik Choe (3 shared papers)Kyung Cheul Shin (3 shared papers)Hongryul Ahn (3 shared papers)
- Journals
- Bioinformatics (3 papers)Scientific Reports (2 papers)Nature Communications (2 papers)Methods (2 papers)BMC Systems Biology (1 paper)
- Partner nations
- South KoreaUnited StatesArmenia
In The Last Decade
Kyuri Jo
21 papers receiving 287 citations
Peers
Comparison fields: 5 of 80
- Computational Theory and Mathematics 62
- Biological Psychiatry 8
- Cancer Research 38
- Physiology 64
- Molecular Biology 160
Countries citing papers authored by Kyuri Jo
This map shows the geographic impact of Kyuri Jo'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 Kyuri Jo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyuri Jo more than expected).
Fields of papers citing papers by Kyuri Jo
This network shows the impact of papers produced by Kyuri Jo. 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 Kyuri Jo. The network helps show where Kyuri Jo may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyuri Jo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 63 | |
| 2 | 2019 | 35 | |
| 3 | 2022 | 31 | |
| 4 | 2016 | 26 | |
| 5 | 2021 | 25 | |
| 6 | 2014 | 24 | |
| 7 | 2022 | 14 | |
| 8 | 2020 | 13 | |
| 9 | 2017 | 12 | |
| 10 | 2016 | 7 | |
| 11 | 2019 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2016 | 6 | |
| 14 | 2020 | 4 | |
| 15 | 2019 | 4 | |
| 16 | 2019 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 1 |
About Kyuri Jo
Kyuri Jo is a scholar working on Molecular Biology, Computational Theory and Mathematics, Epidemiology, Physiology and Materials Chemistry, having authored 23 papers that have together received 292 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (11 papers), Computational Drug Discovery Methods (10 papers), Gene expression and cancer classification (5 papers), Adipose Tissue and Metabolism (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Gene Regulatory Network Analysis (3 papers), Machine Learning in Materials Science (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Computational Theory and Mathematics (62 citations), Biological Psychiatry (8 citations), Cancer Research (38 citations), Physiology (64 citations) and Molecular Biology (160 citations). Kyuri Jo has collaborated with scholars based in South Korea, United States and Armenia. Frequent co-authors include Sun Kim, Hawk-Bin Kwon, Yong Geun Jeon, Inuk Jung, Jae Bum Kim, Sung Sik Choe, Kyung Cheul Shin, Hongryul Ahn, Yul Ji and Jeu Park. Their work appears in journals such as Bioinformatics, Scientific Reports, Nature Communications, Methods and BMC Systems Biology.
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.