Youngjun Park
Impact in
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- Cancer Genomics and Diagnostics
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- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
Papers in
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- Bioinformatics and Genomic Networks 6
- Gene expression and cancer classification 5
- Single-cell and spatial transcriptomics 4
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- Cancer Genomics and Diagnostics 5
- Co-authors
- Sun Kim (5 shared papers)Minsik Oh (1 shared paper)Seokjun Seo (1 shared paper)Sangsoo Lim (2 shared papers)Anne-Christin Hauschild (4 shared papers)Dominik Heider (2 shared papers)Jin‐Wu Nam (1 shared paper)Y. Y. Koh (1 shared paper)
- Journals
- Methods (2 papers)Briefings in Bioinformatics (2 papers)Journal of Crohn s and Colitis (2 papers)Computers in Biology and Medicine (1 paper)Scientific Reports (1 paper)
- Partner nations
- South KoreaGermanyEthiopia
In The Last Decade
Youngjun Park
12 papers receiving 263 citations
Peers
Comparison fields: 5 of 56
- Cancer Research 61
- Molecular Biology 171
- Computational Theory and Mathematics 34
- Pulmonary and Respiratory Medicine 60
- Biophysics 9
Countries citing papers authored by Youngjun Park
This map shows the geographic impact of Youngjun Park'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 Youngjun Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngjun Park more than expected).
Fields of papers citing papers by Youngjun Park
This network shows the impact of papers produced by Youngjun Park. 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 Youngjun Park. The network helps show where Youngjun Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Youngjun Park, 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 | 2018 | 91 | |
| 2 | 2016 | 39 | |
| 3 | 1999 | 37 | |
| 4 | 2020 | 27 | |
| 5 | 2021 | 22 | |
| 6 | 2016 | 17 | |
| 7 | 2017 | 13 | |
| 8 | 2021 | 10 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 2 | |
| 11 | 2017 | 1 | |
| 12 | 2020 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2024 | 0 |
About Youngjun Park
Youngjun Park is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Genetics and Biophysics, having authored 14 papers that have together received 265 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Cancer Genomics and Diagnostics (5 papers), Gene expression and cancer classification (5 papers), Single-cell and spatial transcriptomics (4 papers), Cell Image Analysis Techniques (2 papers), Inflammatory Bowel Disease (2 papers), Ferroptosis and cancer prognosis (2 papers) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Cancer Research (61 citations), Molecular Biology (171 citations), Computational Theory and Mathematics (34 citations), Pulmonary and Respiratory Medicine (60 citations) and Biophysics (9 citations). Youngjun Park has collaborated with scholars based in South Korea, Germany and Ethiopia. Frequent co-authors include Sun Kim, Minsik Oh, Seokjun Seo, Sangsoo Lim, Anne-Christin Hauschild, Dominik Heider, Jin‐Wu Nam, Y. Y. Koh, Sangseon Lee and Benjamin Hur. Their work appears in journals such as Methods, Briefings in Bioinformatics, Journal of Crohn s and Colitis, Computers in Biology and Medicine and Scientific Reports.
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.