Jun W. Kim
Impact in
-
- Cancer Cells and Metastasis
- Lung Cancer Research Studies
- Cytokine Signaling Pathways and Interactions
Papers in
- Oncology 6
- Lung Cancer Research Studies 4
- Cytokine Signaling Pathways and Interactions 2
- Cancer Cells and Metastasis 1
-
- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- Benjamin M. Wu (2 shared papers)Won Jin Ho (2 shared papers)Jennifer R. Cochran (3 shared papers)Julien Sage (3 shared papers)Christopher Wai Siong Ng (1 shared paper)Daniel T. Kamei (1 shared paper)Edward A. Pham (1 shared paper)Julie H. Ko (1 shared paper)
- Journals
- iScience (1 paper)Cell Systems (1 paper)American Journal of Physiology-Heart and Circulatory Physiology (1 paper)Nature Medicine (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Jun W. Kim
11 papers receiving 417 citations
Peers
Comparison fields: 5 of 87
- Oncology 171
- Cancer Research 47
- Biomedical Engineering 130
- Immunology and Allergy 16
- Cell Biology 41
Countries citing papers authored by Jun W. Kim
This map shows the geographic impact of Jun W. 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 Jun W. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun W. Kim more than expected).
Fields of papers citing papers by Jun W. Kim
This network shows the impact of papers produced by Jun W. 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 Jun W. Kim. The network helps show where Jun W. Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun W. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 107 | |
| 2 | The role of the 3D environment in hypoxia-induced drug and apoptosis resistance. | 2011 | 74 |
| 3 | 2020 | 58 | |
| 4 | 2019 | 57 | |
| 5 | 2022 | 41 | |
| 6 | 2014 | 38 | |
| 7 | 2020 | 20 | |
| 8 | 2025 | 9 | |
| 9 | 2021 | 8 | |
| 10 | 2019 | 7 | |
| 11 | 2024 | 5 | |
| 12 | 2025 | 0 |
About Jun W. Kim
Jun W. Kim is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Physiology, Molecular Biology and Immunology and Allergy, having authored 12 papers that have together received 424 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), CRISPR and Genetic Engineering (1 paper), Biochemical and Structural Characterization (1 paper), Cell Adhesion Molecules Research (1 paper), Cancer Cells and Metastasis (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Oncology (171 citations), Cancer Research (47 citations), Biomedical Engineering (130 citations), Immunology and Allergy (16 citations) and Cell Biology (41 citations). Jun W. Kim has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Benjamin M. Wu, Won Jin Ho, Jennifer R. Cochran, Julien Sage, Christopher Wai Siong Ng, Daniel T. Kamei, Edward A. Pham, Julie H. Ko, Frank V. Cochran and Alejandro Sweet-Cordero. Their work appears in journals such as iScience, Cell Systems, American Journal of Physiology-Heart and Circulatory Physiology, Nature Medicine and Proceedings of the National Academy of Sciences.
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.