Ilmin Kwon
Impact in
- Aging top 5%
-
- Circadian rhythm and melatonin
Papers in
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- RNA Research and Splicing 8
- RNA modifications and cancer 6
- Cancer-related gene regulation 5
- RNA and protein synthesis mechanisms 3
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- Circadian rhythm and melatonin 4
- Co-authors
- Siheng Xiang (4 shared papers)Masato Kato (4 shared papers)Steven L. McKnight (4 shared papers)Leeju C. Wu (4 shared papers)Kyungjin Kim (4 shared papers)Ji‐Won Lee (3 shared papers)Yang Xie (1 shared paper)Jiwoong Kim (1 shared paper)
- Journals
- Experimental & Molecular Medicine (5 papers)Cell (3 papers)Proceedings of the National Academy of Sciences (2 papers)Cell Death and Disease (2 papers)Experimental Neurobiology (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Ilmin Kwon
24 papers receiving 2.1k citations
Ilmin Kwon's Hit Papers
Peers
Comparison fields: 5 of 108
- Aging 83
- Endocrine and Autonomic Systems 239
- Neurology 499
- Genetics 303
- Molecular Biology 1.3k
Countries citing papers authored by Ilmin Kwon
This map shows the geographic impact of Ilmin 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 Ilmin Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilmin Kwon more than expected).
Fields of papers citing papers by Ilmin Kwon
This network shows the impact of papers produced by Ilmin 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 Ilmin Kwon. The network helps show where Ilmin Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Ilmin 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Poly-dipeptides encoded by the C9orf72 repeats bind nucleoli, impede RNA biogenesis, and kill cells Hit paper breakdown → | 2014 | 492 |
| 2 | 2013 | 441 | |
| 3 | 2016 | 321 | |
| 4 | 2018 | 177 | |
| 5 | 2006 | 139 | |
| 6 | 2010 | 97 | |
| 7 | 2016 | 55 | |
| 8 | 2010 | 53 | |
| 9 | 2015 | 43 | |
| 10 | 2011 | 42 | |
| 11 | 2022 | 31 | |
| 12 | 2011 | 28 | |
| 13 | 2019 | 28 | |
| 14 | 2018 | 27 | |
| 15 | 2019 | 23 | |
| 16 | 2021 | 21 | |
| 17 | 2020 | 14 | |
| 18 | 2021 | 13 | |
| 19 | 2022 | 11 | |
| 20 | 2014 | 9 |
About Ilmin Kwon
Ilmin Kwon is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Physiology, Plant Science and Genetics, having authored 25 papers that have together received 2.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), RNA modifications and cancer (6 papers), Cancer-related gene regulation (5 papers), Circadian rhythm and melatonin (4 papers), Light effects on plants (3 papers), RNA and protein synthesis mechanisms (3 papers), Neurogenetic and Muscular Disorders Research (3 papers) and Amyotrophic Lateral Sclerosis Research (2 papers). The work is most often cited by research in Aging (83 citations), Endocrine and Autonomic Systems (239 citations), Neurology (499 citations), Genetics (303 citations) and Molecular Biology (1.3k citations). Ilmin Kwon has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Siheng Xiang, Masato Kato, Steven L. McKnight, Leeju C. Wu, Kyungjin Kim, Ji‐Won Lee, Yang Xie, Jiwoong Kim, Jonghyun Yun and Tao Wang. Their work appears in journals such as Experimental & Molecular Medicine, Cell, Proceedings of the National Academy of Sciences, Cell Death and Disease and Experimental Neurobiology.
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.