John Kwon
Impact in
- Immunology top 5%
- interferon and immune responses
- Immune Cell Function and Interaction
- Immune cells in cancer
- Immunotherapy and Immune Responses
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
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- CRISPR and Genetic Engineering 2
- Advanced biosensing and bioanalysis techniques 1
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- Biochemical Analysis and Sensing Techniques 2
- Co-authors
- Samuel F. Bakhoum (1 shared paper)Orit Rozenblatt–Rosen (2 shared papers)Aviv Regev (2 shared papers)Sema Kurtuluş (1 shared paper)David Gennert (1 shared paper)Jackson Nyman (1 shared paper)Ana C. Anderson (1 shared paper)Itai Yanai (1 shared paper)
- Journals
- Clinical Cancer Research (1 paper)Melanoma Research (1 paper)Science (1 paper)Epilepsy Research (1 paper)International Journal of Environmental Research and Public Health (1 paper)
- Partner nations
- United StatesIsrael
In The Last Decade
John Kwon
9 papers receiving 1.3k citations
John Kwon's Hit Papers
Peers
Comparison fields: 5 of 94
- Immunology 842
- Oncology 392
- Cancer Research 172
- Molecular Biology 591
- Infectious Diseases 146
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 | 813 |
| 2 | 2016 | 269 | |
| 3 | 2010 | 107 | |
| 4 | 2022 | 32 | |
| 5 | 1997 | 23 | |
| 6 | 2010 | 18 | |
| 7 | 2022 | 13 | |
| 8 | Abnormal frequency-selective domains in inferior colliculus of audiogenic seizure susceptible rats. | 1996 | 4 |
| 9 | 2021 | 1 | |
| 10 | 2012 | 0 |
About John Kwon
John Kwon is a scholar working on Molecular Biology, Nutrition and Dietetics, Immunology, Infectious Diseases and Physiology, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (2 papers), Nitric Oxide and Endothelin Effects (2 papers), CRISPR and Genetic Engineering (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Cancer Genomics and Diagnostics (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), interferon and immune responses (1 paper) and Meningioma and schwannoma management (1 paper). The work is most often cited by research in Immunology (842 citations), Oncology (392 citations), Cancer Research (172 citations), Molecular Biology (591 citations) and Infectious Diseases (146 citations). John Kwon has collaborated with scholars based in United States and Israel. Frequent co-authors include Samuel F. Bakhoum, Orit Rozenblatt–Rosen, Aviv Regev, Sema Kurtuluş, David Gennert, Jackson Nyman, Ana C. Anderson, Itai Yanai, Vijay K. Kuchroo and James Nevin. Their work appears in journals such as Clinical Cancer Research, Melanoma Research, Science, Epilepsy Research and International Journal of Environmental Research and Public Health.
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.