John Kwon

3.4k citations
11 papers · 1.4k · 1 hit paper · h-index 7

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

John Kwon

9 papers receiving 1.3k citations

John Kwon's Hit Papers

The Cytosolic DNA-Sensing cGAS–STING Pathway in Cancer 2019 · 870 citations
8700+2+4Years since publication250500750

Peers

John Kwon
Comparison fields: 5 of 94
  • Immunology 838
  • Oncology 357
  • Cancer Research 139
  • Molecular Biology 556
  • Infectious Diseases 133
Replace Emma Teixeiro with:
Emma Teixeiro United States
Yao-Chen Tsui United States
Ravikumar Muthuswamy United States
Natalia Arenas-Ramirez Switzerland
Charlotte M. Vines United States
Marilyne Labrie Canada
Raphaël Genolet Switzerland
Mattia Laffranchi Italy
Sha Tian United States
Natalie Grinshtein Canada
John Kwon relative to Emma Teixeiro United States Emma Teixeiro's profile →
Citations per field
00.5×4.6×
Emma Teixeiro · 1×
Citations per year

Countries citing papers authored by John Kwon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with John Kwon Line = papers co-authored together John Kwon links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
The Cytosolic DNA-Sensing cGAS–STING Pathway in Cancer
Hit paper breakdown →
2019870
2 2016280
3 2010113
4 202234
5 199724
6 201018
7 202213
8
Abnormal frequency-selective domains in inferior colliculus of audiogenic seizure susceptible rats.
19964
9 20211
10 20250
11 20120

About John Kwon

John Kwon is a scholar working on Molecular Biology, Nutrition and Dietetics, Infectious Diseases, Oncology and Physiology, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), CRISPR and Genetic Engineering (2 papers), Pancreatic and Hepatic Oncology Research (1 paper), Cancer Genomics and Diagnostics (1 paper), Tuberculosis Research and Epidemiology (1 paper), Mosquito-borne diseases and control (1 paper) and Child Nutrition and Water Access (1 paper). The work is most often cited by research in Immunology (838 citations), Oncology (357 citations), Cancer Research (139 citations), Molecular Biology (556 citations) and Infectious Diseases (133 citations). John Kwon has collaborated with scholars based in United States and Israel. Frequent co-authors include Samuel F. Bakhoum, Aviv Regev, Orit Rozenblatt–Rosen, Kaori Sakuishi, Huiyuan Zhang, Vijay K. Kuchroo, Le Cong, Itai Yanai, Ana C. Anderson and Nemanja D. Marjanovic. Their work appears in journals such as International Journal of Environmental Research and Public Health, Epilepsy Research, Clinical Cancer Research, Melanoma Research and Cell.

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.

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