Jeyeon Lee
Impact in
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- Tryptophan and brain disorders
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- Neurological disorders and treatments
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Dementia and Cognitive Impairment Research 9
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- Neuroscience and Neuropharmacology Research 5
- Neuroscience and Neural Engineering 3
- Neurotransmitter Receptor Influence on Behavior 3
- Co-authors
- Val J. Lowe (14 shared papers)Hoon‐Ki Min (14 shared papers)Ronald C. Petersen (10 shared papers)Clifford R. Jack (9 shared papers)David T. Jones (10 shared papers)David S. Knopman (8 shared papers)Su-Youne Chang (6 shared papers)Bradley F. Boeve (6 shared papers)
- Journals
- Alzheimer s & Dementia (5 papers)Journal of Nuclear Medicine (2 papers)Advanced Science (1 paper)The FASEB Journal (1 paper)IEEE Access (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Jeyeon Lee
30 papers receiving 277 citations
Peers
Comparison fields: 5 of 63
- Biological Psychiatry 18
- Neurology 49
- Psychiatry and Mental health 57
- Cognitive Neuroscience 75
- Neurology 54
Countries citing papers authored by Jeyeon Lee
This map shows the geographic impact of Jeyeon 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 Jeyeon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeyeon Lee more than expected).
Fields of papers citing papers by Jeyeon Lee
This network shows the impact of papers produced by Jeyeon 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 Jeyeon Lee. The network helps show where Jeyeon Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeyeon 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
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 109 | |
| 2 | 2020 | 45 | |
| 3 | 2023 | 14 | |
| 4 | 2020 | 13 | |
| 5 | 2017 | 9 | |
| 6 | 2025 | 8 | |
| 7 | 2024 | 8 | |
| 8 | 2023 | 8 | |
| 9 | 2018 | 7 | |
| 10 | 2022 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 5 | |
| 13 | 2020 | 5 | |
| 14 | 2025 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2024 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2019 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 2024 | 2 |
About Jeyeon Lee
Jeyeon Lee is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology and Physiology, having authored 33 papers that have together received 282 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (9 papers), Neurological disorders and treatments (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Functional Brain Connectivity Studies (5 papers), Alzheimer's disease research and treatments (4 papers), Neuroscience and Neural Engineering (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Machine Learning in Healthcare (2 papers). The work is most often cited by research in Biological Psychiatry (18 citations), Neurology (49 citations), Psychiatry and Mental health (57 citations), Cognitive Neuroscience (75 citations) and Neurology (54 citations). Jeyeon Lee has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Val J. Lowe, Hoon‐Ki Min, Ronald C. Petersen, Clifford R. Jack, David T. Jones, David S. Knopman, Su-Youne Chang, Bradley F. Boeve, Jonathan Graff‐Radford and Leland R Barnard. Their work appears in journals such as Alzheimer s & Dementia, Journal of Nuclear Medicine, Advanced Science, The FASEB Journal and IEEE Access.
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.