John Kwon
Impact in
- Immunology top 2%
- interferon and immune responses
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune cells in cancer
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 4
- Cancer Immunotherapy and Biomarkers 2
- Pancreatic and Hepatic Oncology Research 1
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- T-cell and B-cell Immunology 2
- Co-authors
- Samuel F. W. Bakhoum (1 shared paper)Aviv Regev (3 shared papers)Orit Rozenblatt–Rosen (3 shared papers)Chao Wang (2 shared papers)Rebecca H. Herbst (2 shared papers)Kaori Sakuishi (2 shared papers)David G. Gennert (2 shared papers)Le Cong (2 shared papers)
- Journals
- Cell (2 papers)Cancer Discovery (2 papers)Clinical Cancer Research (1 paper)International Journal of Environmental Research and Public Health (1 paper)Nature Biotechnology (1 paper)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
John Kwon
11 papers receiving 2.4k citations
John Kwon's Hit Papers
Peers
Comparison fields: 5 of 92
- Immunology 770
- Oncology 620
- Molecular Biology 805
- Physiology 50
- Cancer Research 97
Countries citing papers authored by John Kwon
This map shows the geographic impact of John Kwon'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 John Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Kwon more than expected).
Fields of papers citing papers by John Kwon
This network shows the impact of papers produced by John Kwon. 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 John Kwon. The network helps show where John Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside John Kwon, 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 | The Cytosolic DNA-Sensing cGAS–STING Pathway in Cancer Hit paper breakdown → | 2019 | 979 |
| 2 | Systematic comparison of single-cell and single-nucleus RNA-sequencing methods Hit paper breakdown → | 2020 | 594 |
| 3 | 2016 | 347 | |
| 4 | Metastasis and Immune Evasion from Extracellular cGAMP Hydrolysis Hit paper breakdown → | 2020 | 248 |
| 5 | 2010 | 115 | |
| 6 | 2017 | 39 | |
| 7 | 2022 | 38 | |
| 8 | 2010 | 18 | |
| 9 | 2022 | 17 | |
| 10 | 2025 | 2 | |
| 11 | 2021 | 1 |
About John Kwon
John Kwon is a scholar working on Oncology, Immunology, Molecular Biology, Physiology and Nutrition and Dietetics, having authored 11 papers that have together received 2.4k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), T-cell and B-cell Immunology (2 papers), Single-cell and spatial transcriptomics (2 papers), Innovations in Medical Education (1 paper), Child Nutrition and Water Access (1 paper), Nitric Oxide and Endothelin Effects (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Immunology (770 citations), Oncology (620 citations), Molecular Biology (805 citations), Physiology (50 citations) and Cancer Research (97 citations). John Kwon has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Samuel F. W. Bakhoum, Aviv Regev, Orit Rozenblatt–Rosen, Chao Wang, Rebecca H. Herbst, Kaori Sakuishi, David G. Gennert, Le Cong, Ana Carrizosa Anderson and James Timothy Nevin. Their work appears in journals such as Cell, Cancer Discovery, Clinical Cancer Research, International Journal of Environmental Research and Public Health and Nature Biotechnology.
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.