Seungbyn Baek
Impact in
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- Cell Image Analysis Techniques
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- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
Papers in
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- Single-cell and spatial transcriptomics 6
- Bioinformatics and Genomic Networks 2
- Epigenetics and DNA Methylation 1
- Gene expression and cancer classification 1
- Oncology 3
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Insuk Lee (11 shared papers)Traver Hart (1 shared paper)Chan Yeong Kim (1 shared paper)Sunmo Yang (1 shared paper)Edward M. Marcotte (1 shared paper)Eiru Kim (1 shared paper)Jae-Won Cho (1 shared paper)Richard A. Flavell (1 shared paper)
- Journals
- Cancer Communications (2 papers)Nature Communications (1 paper)Experimental & Molecular Medicine (1 paper)Journal for ImmunoTherapy of Cancer (1 paper)Gut Microbes (1 paper)
- Partner nations
- South KoreaUnited StatesNetherlands
In The Last Decade
Seungbyn Baek
10 papers receiving 230 citations
Peers
Comparison fields: 5 of 69
- Biophysics 17
- Cancer Research 38
- Molecular Biology 172
- Immunology 24
- Aging 2
Countries citing papers authored by Seungbyn Baek
This map shows the geographic impact of Seungbyn Baek'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 Seungbyn Baek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seungbyn Baek more than expected).
Fields of papers citing papers by Seungbyn Baek
This network shows the impact of papers produced by Seungbyn Baek. 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 Seungbyn Baek. The network helps show where Seungbyn Baek may publish in the future.
Co-authors
The 25 scholars most cited alongside Seungbyn Baek, 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 | 2020 | 98 | |
| 2 | 2021 | 80 | |
| 3 | 2024 | 17 | |
| 4 | 2024 | 14 | |
| 5 | 2024 | 11 | |
| 6 | 2025 | 3 | |
| 7 | 2025 | 3 | |
| 8 | 2025 | 2 | |
| 9 | 2025 | 2 | |
| 10 | 2025 | 2 | |
| 11 | 2025 | 0 |
About Seungbyn Baek
Seungbyn Baek is a scholar working on Molecular Biology, Oncology, Biophysics, Immunology and Cancer Research, having authored 11 papers that have together received 232 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cancer Genomics and Diagnostics (2 papers), Bioinformatics and Genomic Networks (2 papers), Immune Cell Function and Interaction (2 papers), Cell Image Analysis Techniques (2 papers), Epigenetics and DNA Methylation (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Biophysics (17 citations), Cancer Research (38 citations), Molecular Biology (172 citations), Immunology (24 citations) and Aging (2 citations). Seungbyn Baek has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Insuk Lee, Traver Hart, Chan Yeong Kim, Sunmo Yang, Edward M. Marcotte, Eiru Kim, Jae-Won Cho, Richard A. Flavell, Nancy B. Simmons and Hye Ryun Kim. Their work appears in journals such as Cancer Communications, Nature Communications, Experimental & Molecular Medicine, Journal for ImmunoTherapy of Cancer and Gut Microbes.
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.