Do‐Yeon Kim
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
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- Circadian rhythm and melatonin
Papers in
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- RNA Research and Splicing 11
- RNA modifications and cancer 5
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- Circadian rhythm and melatonin 13
- Co-authors
- Kyung‐Ha Lee (27 shared papers)Kyong‐Tai Kim (20 shared papers)Hee-Sun Kim (15 shared papers)Jin‐Sun Park (13 shared papers)Wanil Kim (15 shared papers)Kyung‐Chul Woo (7 shared papers)Tae‐Don Kim (6 shared papers)Yea-Hyun Leem (5 shared papers)
- Journals
- International Journal of Molecular Sciences (6 papers)Biochemical and Biophysical Research Communications (6 papers)Scientific Reports (5 papers)Nucleic Acids Research (3 papers)Biomolecules & Therapeutics (3 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Do‐Yeon Kim
114 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 144
- Aging 126
- Endocrine and Autonomic Systems 265
- Molecular Biology 905
- Neurology 98
- Developmental Neuroscience 36
Countries citing papers authored by Do‐Yeon Kim
This map shows the geographic impact of Do‐Yeon Kim'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 Do‐Yeon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Do‐Yeon Kim more than expected).
Fields of papers citing papers by Do‐Yeon Kim
This network shows the impact of papers produced by Do‐Yeon Kim. 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 Do‐Yeon Kim. The network helps show where Do‐Yeon Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Do‐Yeon Kim, 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 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 140 | |
| 2 | 2014 | 116 | |
| 3 | 2008 | 95 | |
| 4 | 2019 | 67 | |
| 5 | 2016 | 60 | |
| 6 | 2011 | 58 | |
| 7 | 2017 | 54 | |
| 8 | 2000 | 53 | |
| 9 | 2010 | 52 | |
| 10 | 2009 | 52 | |
| 11 | 2014 | 44 | |
| 12 | 2019 | 44 | |
| 13 | 2021 | 43 | |
| 14 | 2009 | 40 | |
| 15 | 2023 | 38 | |
| 16 | 2021 | 37 | |
| 17 | 2016 | 36 | |
| 18 | 2018 | 34 | |
| 19 | 2015 | 33 | |
| 20 | 2013 | 32 |
About Do‐Yeon Kim
Do‐Yeon Kim is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Plant Science, Cellular and Molecular Neuroscience and Neurology, having authored 124 papers that have together received 2.1k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (13 papers), RNA Research and Splicing (11 papers), Plant Molecular Biology Research (7 papers), Light effects on plants (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), RNA modifications and cancer (5 papers), Nutrition, Health and Food Behavior (5 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). The work is most often cited by research in Aging (126 citations), Endocrine and Autonomic Systems (265 citations), Molecular Biology (905 citations), Neurology (98 citations) and Developmental Neuroscience (36 citations). Do‐Yeon Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Kyung‐Ha Lee, Kyong‐Tai Kim, Hee-Sun Kim, Jin‐Sun Park, Wanil Kim, Kyung‐Chul Woo, Tae‐Don Kim, Yea-Hyun Leem, Sam S. Yoon and Yea‐Hyun Leem. Their work appears in journals such as International Journal of Molecular Sciences, Biochemical and Biophysical Research Communications, Scientific Reports, Nucleic Acids Research and Biomolecules & Therapeutics.
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.