Jea Kwon
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Biological Psychiatry top 10%
Papers in
-
- Neuroscience and Neuropharmacology Research 8
- Photoreceptor and optogenetics research 4
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- Ion channel regulation and function 4
- Lipid Membrane Structure and Behavior 2
- Co-authors
- C. Justin Lee (18 shared papers)Heeyoung An (5 shared papers)Wuhyun Koh (4 shared papers)Il‐Joo Cho (2 shared papers)Soo‐Jin Oh (2 shared papers)Jung Moo Lee (3 shared papers)Gyu‐Sang Hong (1 shared paper)Ji Ho Park (1 shared paper)
- Journals
- Experimental Neurobiology (7 papers)Nature Communications (3 papers)Molecular Brain (2 papers)Cell Metabolism (1 paper)Current Biology (1 paper)
- Partner nations
- South KoreaUnited StatesAustralia
In The Last Decade
Jea Kwon
18 papers receiving 533 citations
Peers
Comparison fields: 5 of 81
- Neurology 116
- Biological Psychiatry 33
- Sensory Systems 61
- Cellular and Molecular Neuroscience 225
- Developmental Neuroscience 37
Countries citing papers authored by Jea Kwon
This map shows the geographic impact of Jea 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 Jea Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jea Kwon more than expected).
Fields of papers citing papers by Jea Kwon
This network shows the impact of papers produced by Jea 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 Jea Kwon. The network helps show where Jea Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Jea 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 172 | |
| 2 | 2018 | 79 | |
| 3 | 2022 | 70 | |
| 4 | 2016 | 52 | |
| 5 | 2017 | 47 | |
| 6 | 2019 | 36 | |
| 7 | 2020 | 26 | |
| 8 | 2023 | 21 | |
| 9 | 2021 | 8 | |
| 10 | 2022 | 8 | |
| 11 | 2022 | 6 | |
| 12 | 2021 | 6 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2018 | 1 | |
| 18 | 2019 | 1 | |
| 19 | 2025 | 0 |
About Jea Kwon
Jea Kwon is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Endocrine and Autonomic Systems and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 542 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Ion channel regulation and function (4 papers), Photoreceptor and optogenetics research (4 papers), Biochemical Analysis and Sensing Techniques (2 papers), Lipid Membrane Structure and Behavior (2 papers), Adipose Tissue and Metabolism (2 papers), Circadian rhythm and melatonin (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Neurology (116 citations), Biological Psychiatry (33 citations), Sensory Systems (61 citations), Cellular and Molecular Neuroscience (225 citations) and Developmental Neuroscience (37 citations). Jea Kwon has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include C. Justin Lee, Heeyoung An, Wuhyun Koh, Il‐Joo Cho, Soo‐Jin Oh, Jung Moo Lee, Gyu‐Sang Hong, Ji Ho Park, Yong Chul Bae and Dong Ho Woo. Their work appears in journals such as Experimental Neurobiology, Nature Communications, Molecular Brain, Cell Metabolism and Current Biology.
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.