Chae Won Kim
Impact in
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- Immune Cell Function and Interaction
- Immune cells in cancer
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
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- Cancer-related molecular mechanisms research
Papers in
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- Single-cell and spatial transcriptomics 4
- RNA Research and Splicing 3
- Gut microbiota and health 3
- Immunology 12
- Immune cells in cancer 5
- Immune Cell Function and Interaction 4
- Co-authors
- Heung Kyu Lee (15 shared papers)Jang Hyun Park (7 shared papers)Hyun-Jin Kim (7 shared papers)Jeong Woo Park (6 shared papers)Wha Ja Cho (5 shared papers)Ji Eun Oh (4 shared papers)Kyun‐Do Kim (2 shared papers)Young Joo Min (5 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Immune Network (2 papers)Cellular and Molecular Immunology (1 paper)FEBS Letters (1 paper)Nature Communications (1 paper)
- Partner nations
- South KoreaJapan
In The Last Decade
Chae Won Kim
23 papers receiving 492 citations
Peers
Comparison fields: 5 of 76
- Immunology 206
- Cancer Research 102
- Oncology 146
- Biological Psychiatry 12
- Molecular Biology 227
Countries citing papers authored by Chae Won Kim
This map shows the geographic impact of Chae Won Kim'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 Chae Won Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chae Won Kim more than expected).
Fields of papers citing papers by Chae Won Kim
This network shows the impact of papers produced by Chae Won Kim. 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 Chae Won Kim. The network helps show where Chae Won Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Chae Won Kim, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 103 | |
| 2 | 2022 | 56 | |
| 3 | 2011 | 48 | |
| 4 | 2010 | 44 | |
| 5 | 2021 | 44 | |
| 6 | 2011 | 39 | |
| 7 | 2013 | 32 | |
| 8 | 2010 | 21 | |
| 9 | 2012 | 20 | |
| 10 | 2020 | 17 | |
| 11 | 2019 | 13 | |
| 12 | 2021 | 11 | |
| 13 | 2021 | 10 | |
| 14 | 2019 | 8 | |
| 15 | 2018 | 6 | |
| 16 | 2021 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2025 | 1 |
About Chae Won Kim
Chae Won Kim is a scholar working on Molecular Biology, Immunology, Oncology, Infectious Diseases and Cancer Research, having authored 25 papers that have together received 495 indexed citations. Recurring topics across this work include Immune cells in cancer (5 papers), Single-cell and spatial transcriptomics (4 papers), Immune Cell Function and Interaction (4 papers), RNA Research and Splicing (3 papers), Gut microbiota and health (3 papers), CAR-T cell therapy research (2 papers), COVID-19 Clinical Research Studies (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Immunology (206 citations), Cancer Research (102 citations), Oncology (146 citations), Biological Psychiatry (12 citations) and Molecular Biology (227 citations). Chae Won Kim has collaborated with scholars based in South Korea and Japan. Frequent co-authors include Heung Kyu Lee, Jang Hyun Park, Hyun-Jin Kim, Jeong Woo Park, Wha Ja Cho, Ji Eun Oh, Kyun‐Do Kim, Young Joo Min, Byung Ju Lee and Nal Ae Yoon. Their work appears in journals such as Journal of Biological Chemistry, Immune Network, Cellular and Molecular Immunology, FEBS Letters and Nature Communications.
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.