Yeongjun Jang
Impact in
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- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Computational Drug Discovery Methods
Papers in
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- Bioinformatics and Genomic Networks 6
- Single-cell and spatial transcriptomics 4
- Gene expression and cancer classification 2
- Genetics, Bioinformatics, and Biomedical Research 1
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- Cancer Genomics and Diagnostics 6
- Co-authors
- Kyoohyoung Rho (4 shared papers)Taejeong Bae (8 shared papers)Sung‐Hoon Kim (3 shared papers)Wankyu Kim (3 shared papers)Sanghyuk Lee (4 shared papers)Jihae Seo (4 shared papers)Sun Kim (2 shared papers)Sangok Kim (2 shared papers)
- Journals
- Nucleic Acids Research (3 papers)Scientific Reports (1 paper)Biology Direct (1 paper)PLoS Computational Biology (1 paper)Science (1 paper)
- Partner nations
- South KoreaUnited StatesItaly
In The Last Decade
Yeongjun Jang
15 papers receiving 311 citations
Peers
Comparison fields: 5 of 59
- Cancer Research 88
- Computational Theory and Mathematics 88
- Molecular Biology 258
- Health Informatics 2
- Pharmacology 13
Countries citing papers authored by Yeongjun Jang
This map shows the geographic impact of Yeongjun Jang'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 Yeongjun Jang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeongjun Jang more than expected).
Fields of papers citing papers by Yeongjun Jang
This network shows the impact of papers produced by Yeongjun Jang. 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 Yeongjun Jang. The network helps show where Yeongjun Jang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yeongjun Jang, 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 | 2012 | 65 | |
| 2 | 2012 | 58 | |
| 3 | 2010 | 44 | |
| 4 | 2021 | 35 | |
| 5 | 2011 | 29 | |
| 6 | 2016 | 26 | |
| 7 | 2020 | 19 | |
| 8 | 2019 | 11 | |
| 9 | 2018 | 10 | |
| 10 | 2011 | 10 | |
| 11 | 2023 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2022 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2023 | 1 |
About Yeongjun Jang
Yeongjun Jang is a scholar working on Molecular Biology, Cancer Research, Computational Theory and Mathematics, Genetics and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 317 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Bioinformatics and Genomic Networks (6 papers), Single-cell and spatial transcriptomics (4 papers), Computational Drug Discovery Methods (3 papers), Ferroptosis and cancer prognosis (2 papers), Gene expression and cancer classification (2 papers), Evolution and Genetic Dynamics (2 papers) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Cancer Research (88 citations), Computational Theory and Mathematics (88 citations), Molecular Biology (258 citations), Health Informatics (2 citations) and Pharmacology (13 citations). Yeongjun Jang has collaborated with scholars based in South Korea, United States and Italy. Frequent co-authors include Kyoohyoung Rho, Taejeong Bae, Sung‐Hoon Kim, Wankyu Kim, Sanghyuk Lee, Jihae Seo, Sun Kim, Sangok Kim, Sanghyun Lee and Ji Hyun Lee. Their work appears in journals such as Nucleic Acids Research, Scientific Reports, Biology Direct, PLoS Computational Biology and Science.
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.