Eun-Kyung Bae
Impact in
- Aging top 2%
-
- Circadian rhythm and melatonin
Papers in
-
- Plant Gene Expression Analysis 8
- Plant Reproductive Biology 7
-
- Plant Molecular Biology Research 13
- Plant Stress Responses and Tolerance 8
- Co-authors
- Jaeseob Kim (6 shared papers)Seong‐Jin Yu (21 shared papers)Cesar V. Borlongan (11 shared papers)Seogang Hyun (3 shared papers)Yuji Kaneko (8 shared papers)Sunhoe Bang (3 shared papers)Jongkyun Kang (3 shared papers)Youngseok Lee (3 shared papers)
- Journals
- International Journal of Molecular Sciences (4 papers)Brain Research (4 papers)Plant Physiology and Biochemistry (3 papers)Neurotoxicity Research (2 papers)PLoS ONE (2 papers)
- Partner nations
- South KoreaUnited StatesTaiwan
In The Last Decade
Eun-Kyung Bae
67 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 117
- Aging 91
- Endocrine and Autonomic Systems 265
- Cellular and Molecular Neuroscience 577
- Developmental Neuroscience 82
- Genetics 188
Countries citing papers authored by Eun-Kyung Bae
This map shows the geographic impact of Eun-Kyung Bae'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 Eun-Kyung Bae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eun-Kyung Bae more than expected).
Fields of papers citing papers by Eun-Kyung Bae
This network shows the impact of papers produced by Eun-Kyung Bae. 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 Eun-Kyung Bae. The network helps show where Eun-Kyung Bae may publish in the future.
Co-authors
The 25 scholars most cited alongside Eun-Kyung Bae, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 266 | |
| 2 | 2005 | 230 | |
| 3 | 2005 | 166 | |
| 4 | 2009 | 118 | |
| 5 | 2010 | 87 | |
| 6 | 2009 | 81 | |
| 7 | 2009 | 73 | |
| 8 | 2000 | 61 | |
| 9 | 2011 | 46 | |
| 10 | 2012 | 40 | |
| 11 | 2012 | 38 | |
| 12 | 2006 | 37 | |
| 13 | 2021 | 30 | |
| 14 | 2010 | 30 | |
| 15 | 2014 | 30 | |
| 16 | 1995 | 30 | |
| 17 | 2021 | 29 | |
| 18 | 2011 | 29 | |
| 19 | 2018 | 28 | |
| 20 | 2011 | 26 |
About Eun-Kyung Bae
Eun-Kyung Bae is a scholar working on Molecular Biology, Plant Science, Cellular and Molecular Neuroscience, Sociology and Political Science and Neurology, having authored 75 papers that have together received 1.9k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (13 papers), Plant Gene Expression Analysis (8 papers), Plant Stress Responses and Tolerance (8 papers), Plant Reproductive Biology (7 papers), Psychosocial Factors Impacting Youth (6 papers), Neurobiology and Insect Physiology Research (4 papers), Mesenchymal stem cell research (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Aging (91 citations), Endocrine and Autonomic Systems (265 citations), Cellular and Molecular Neuroscience (577 citations), Developmental Neuroscience (82 citations) and Genetics (188 citations). Eun-Kyung Bae has collaborated with scholars based in South Korea, United States and Taiwan. Frequent co-authors include Jaeseob Kim, Seong‐Jin Yu, Cesar V. Borlongan, Seogang Hyun, Yuji Kaneko, Sunhoe Bang, Jongkyun Kang, Youngseok Lee, Hyoshin Lee and Jaejung Lee. Their work appears in journals such as International Journal of Molecular Sciences, Brain Research, Plant Physiology and Biochemistry, Neurotoxicity Research and PLoS ONE.
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.