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
- Gene expression and cancer classification
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
Papers in
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- Bioinformatics and Genomic Networks 7
- Gene expression and cancer classification 5
- Single-cell and spatial transcriptomics 3
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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)Anne-Christin Hauschild (4 shared papers)Sangsoo Lim (2 shared papers)Dominik Heider (2 shared papers)Jin‐Wu Nam (1 shared paper)Y. Y. Koh (1 shared paper)
- Journals
- Briefings in Bioinformatics (2 papers)Journal of Crohn s and Colitis (2 papers)Methods (2 papers)NAR Genomics and Bioinformatics (1 paper)Bioinformatics (1 paper)
- Partner nations
- South KoreaGermanyEthiopia
In The Last Decade
Youngjun Park
12 papers receiving 279 citations
Peers
Comparison fields: 5 of 53
- Cancer Research 52
- Molecular Biology 162
- Computational Theory and Mathematics 30
- Pulmonary and Respiratory Medicine 43
- Biophysics 8
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 | 95 | |
| 2 | 2016 | 41 | |
| 3 | 1999 | 39 | |
| 4 | 2020 | 28 | |
| 5 | 2021 | 25 | |
| 6 | 2016 | 17 | |
| 7 | 2017 | 14 | |
| 8 | 2021 | 10 | |
| 9 | 2024 | 6 | |
| 10 | 2024 | 4 | |
| 11 | 2020 | 1 | |
| 12 | 2017 | 1 | |
| 13 | 2024 | 0 | |
| 14 | 2025 | 0 |
About Youngjun Park
Youngjun Park is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Genetics and Surgery, having authored 14 papers that have together received 281 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Cancer Genomics and Diagnostics (5 papers), Gene expression and cancer classification (5 papers), Single-cell and spatial transcriptomics (3 papers), Inflammatory Bowel Disease (2 papers), Ferroptosis and cancer prognosis (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper) and Inhalation and Respiratory Drug Delivery (1 paper). The work is most often cited by research in Cancer Research (52 citations), Molecular Biology (162 citations), Computational Theory and Mathematics (30 citations), Pulmonary and Respiratory Medicine (43 citations) and Biophysics (8 citations). Youngjun Park has collaborated with scholars based in South Korea, Germany and Ethiopia. Frequent co-authors include Sun Kim, Minsik Oh, Seokjun Seo, Anne-Christin Hauschild, Sangsoo Lim, Dominik Heider, Jin‐Wu Nam, Y. Y. Koh, Sangseon Lee and Benjamin Hur. Their work appears in journals such as Briefings in Bioinformatics, Journal of Crohn s and Colitis, Methods, NAR Genomics and Bioinformatics and Bioinformatics.
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.