John H. Kwon
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Immunology top 5%
Papers in
-
- Circular RNAs in diseases 4
- Epigenetics and DNA Methylation 3
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- MicroRNA in disease regulation 8
- Cancer-related molecular mechanisms research 5
- Co-authors
- Steven R. Brant (6 shared papers)Theodore M. Bayless (7 shared papers)Feng Wu (10 shared papers)Feng Wu (3 shared papers)Mary L. Harris (4 shared papers)Themistocles Dassopoulos (3 shared papers)Sushila Dalal (3 shared papers)Joel Pekow (4 shared papers)
- Journals
- Inflammatory Bowel Diseases (11 papers)Gastroenterology (4 papers)European Journal of Neuroscience (2 papers)Digestive Diseases and Sciences (2 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesPhilippinesSwitzerland
In The Last Decade
John H. Kwon
50 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 123
- Cancer Research 1.0k
- Immunology 517
- Genetics 649
- Molecular Biology 1.3k
- Gastroenterology 87
Countries citing papers authored by John H. Kwon
This map shows the geographic impact of John H. 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 H. 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 H. Kwon more than expected).
Fields of papers citing papers by John H. Kwon
This network shows the impact of papers produced by John H. 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 H. Kwon. The network helps show where John H. Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside John H. 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
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 447 | |
| 2 | 2010 | 250 | |
| 3 | 2010 | 199 | |
| 4 | 2011 | 188 | |
| 5 | 2002 | 129 | |
| 6 | 2011 | 122 | |
| 7 | 2010 | 114 | |
| 8 | The Role of MicroRNA in Inflammatory Bowel Disease. | 2010 | 107 |
| 9 | 2010 | 84 | |
| 10 | 2001 | 84 | |
| 11 | 2014 | 84 | |
| 12 | 2013 | 80 | |
| 13 | 2017 | 74 | |
| 14 | 2016 | 74 | |
| 15 | 2016 | 69 | |
| 16 | 2011 | 66 | |
| 17 | 2010 | 62 | |
| 18 | 2014 | 61 | |
| 19 | 2003 | 56 | |
| 20 | 2009 | 52 |
About John H. Kwon
John H. Kwon is a scholar working on Molecular Biology, Cancer Research, Genetics, Epidemiology and Immunology, having authored 50 papers that have together received 3.1k indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (10 papers), MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (4 papers), Microscopic Colitis (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cancer Research (1.0k citations), Immunology (517 citations), Genetics (649 citations), Molecular Biology (1.3k citations) and Gastroenterology (87 citations). John H. Kwon has collaborated with scholars based in United States, Philippines and Switzerland. Frequent co-authors include Steven R. Brant, Theodore M. Bayless, Feng Wu, Feng Wu, Mary L. Harris, Themistocles Dassopoulos, Sushila Dalal, Joel Pekow, Anil J. Trindade and Michelle N. Zikusoka. Their work appears in journals such as Inflammatory Bowel Diseases, Gastroenterology, European Journal of Neuroscience, Digestive Diseases and Sciences and Scientific Reports.
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.