Jaewon Lee
- Developmental Neuroscience top 0.2%
- Neurogenesis and neuroplasticity mechanisms 26
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms 12
- Biological Psychiatry top 1%
- Neurology top 0.5%
- Neuroinflammation and Neurodegeneration Mechanisms 31
- Physiology top 0.5%
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- Electrochemical sensors and biosensors 21
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- Advanced biosensing and bioanalysis techniques 20
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- Gold and Silver Nanoparticles Synthesis and Applications 18
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- Effects and risks of endocrine disrupting chemicals 16
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- Conducting polymers and applications 15
- Co-authors
- Mark P. MattsonWenzhen DuanHae Young ChungHee Ra ParkHyung Sik KimYujeong LeeRiccardo PecceiKim B. Seroogy
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (2 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Jaewon Lee
331 papers receiving 12.9k citations
Hit Papers
Peers
Comparison fields: 5 of 198
- Developmental Neuroscience 1.4k
- Aging 483
- Biological Psychiatry 346
- Neurology 1.1k
- Physiology 2.5k
Countries citing papers authored by Jaewon Lee
This map shows the geographic impact of Jaewon Lee'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 Jaewon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaewon Lee more than expected).
Fields of papers citing papers by Jaewon Lee
This network shows the impact of papers produced by Jaewon Lee. 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 Jaewon Lee. The network helps show where Jaewon Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jaewon Lee, 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 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 35 | |
| 5 | 2024 | 13 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 20 | |
| 10 | 2023 | 48 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 3 | |
| 16 | 2019 | 84 | |
| 17 | 2019 | 26 | |
| 18 | 2017 | 14 | |
| 19 | 2016 | 126 | |
| 20 | 2001 | 14 |
About Jaewon Lee
Jaewon Lee is a scholar working on Developmental Neuroscience, Aging and Neurology, having authored 346 papers that have together received 13.2k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (31 papers), Neurogenesis and neuroplasticity mechanisms (26 papers), Electrochemical sensors and biosensors (21 papers), Advanced biosensing and bioanalysis techniques (20 papers), Gold and Silver Nanoparticles Synthesis and Applications (18 papers), Effects and risks of endocrine disrupting chemicals (16 papers), Conducting polymers and applications (15 papers) and Genetics, Aging, and Longevity in Model Organisms (12 papers). The work is most often cited by research in Developmental Neuroscience (1.4k citations), Aging (483 citations) and Biological Psychiatry (346 citations). Jaewon Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Mark P. Mattson, Wenzhen Duan, Hae Young Chung, Hee Ra Park, Hyung Sik Kim, Yujeong Lee, Riccardo Peccei, Kim B. Seroogy, Seung‐Cheol Chang and Byung Pal Yu. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.