Lee‐Way Jin
Impact in
- Biological Psychiatry top 1%
- Tryptophan and brain disorders
- Physiology top 1%
- Alzheimer's disease research and treatments
Papers in
- Physiology 24
- Alzheimer's disease research and treatments 22
- Co-authors
- Izumi MaezawaFrank R. SharpBoryana StamovaXinhua ZhanCharles DeCarliBrett S. PhinneyDavid G. CookJames B. Leverenz
- Journals
- Journal of Alzheimer s Disease (3 papers)Acta Neuropathologica Communications (2 papers)Nature Communications (2 papers)Proceedings of the National Academy of Sciences (2 papers)Neurobiology of Disease (2 papers)
- Partner nations
- United StatesTaiwanHungary
In The Last Decade
Lee‐Way Jin
36 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Biological Psychiatry 280
- Physiology 1.4k
- Neurology 423
- Cellular and Molecular Neuroscience 382
- Neurology 309
Countries citing papers authored by Lee‐Way Jin
This map shows the geographic impact of Lee‐Way Jin'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 Lee‐Way Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee‐Way Jin more than expected).
Fields of papers citing papers by Lee‐Way Jin
This network shows the impact of papers produced by Lee‐Way Jin. 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 Lee‐Way Jin. The network helps show where Lee‐Way Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Lee‐Way Jin, 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 | 2025 | 0 | |
| 2 | 2021 | 21 | |
| 3 | 2021 | 14 | |
| 4 | 2020 | 69 | |
| 5 | 2020 | 9 | |
| 6 | 2017 | 66 | |
| 7 | 2017 | 22 | |
| 8 | 2016 | 31 | |
| 9 | 2015 | 73 | |
| 10 | 2015 | 8 | |
| 11 | 2015 | 80 | |
| 12 | 2014 | 40 | |
| 13 | 2014 | 159 | |
| 14 | 2012 | 15 | |
| 15 | 2008 | 23 | |
| 16 | 2005 | 19 | |
| 17 | 2004 | 144 | |
| 18 | 2004 | 180 | |
| 19 | 2002 | 53 | |
| 20 | 2002 | 5 |
About Lee‐Way Jin
Lee‐Way Jin is a scholar working on Physiology, Clinical Biochemistry, Physiology, Biological Psychiatry and Neurology, having authored 37 papers that have together received 2.6k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (22 papers), Mitochondrial Function and Pathology (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Dementia and Cognitive Impairment Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Prion Diseases and Protein Misfolding (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Biological Psychiatry (280 citations), Physiology (1.4k citations), Neurology (423 citations), Cellular and Molecular Neuroscience (382 citations) and Neurology (309 citations). Lee‐Way Jin has collaborated with scholars based in United States, Taiwan and Hungary. Frequent co-authors include Izumi Maezawa, Frank R. Sharp, Boryana Stamova, Xinhua Zhan, Charles DeCarli, Brett S. Phinney, David G. Cook, James B. Leverenz, Inez Vincent and Thomas D. Bird. Their work appears in journals such as Journal of Alzheimer s Disease, Acta Neuropathologica Communications, Nature Communications, Proceedings of the National Academy of Sciences and Neurobiology of Disease.
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.