Lee‐Way Jin

9.6k total citations
39 papers, 1.7k citations indexed

About

Lee‐Way Jin is a scholar working on Physiology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Lee‐Way Jin has authored 39 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Physiology, 11 papers in Cellular and Molecular Neuroscience and 11 papers in Neurology. Recurrent topics in Lee‐Way Jin's work include Alzheimer's disease research and treatments (35 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers) and Cholinesterase and Neurodegenerative Diseases (8 papers). Lee‐Way Jin is often cited by papers focused on Alzheimer's disease research and treatments (35 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers) and Cholinesterase and Neurodegenerative Diseases (8 papers). Lee‐Way Jin collaborates with scholars based in United States, Taiwan and Japan. Lee‐Way Jin's co-authors include Izumi Maezawa, Heike Wulff, Pavel I. Zimin, Charles DeCarli, Elva Dı́az, Florin Despa, Gustavo A. Barisone, Srikant Rangaraju, Allan I. Levey and Feng‐Shiun Shie and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Brain.

In The Last Decade

Lee‐Way Jin

38 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lee‐Way Jin United States 21 1.0k 690 424 324 190 39 1.7k
Paige E. Cramer United States 7 1.2k 1.1× 785 1.1× 490 1.2× 379 1.2× 262 1.4× 7 2.0k
Tiernan T. O’Malley United States 18 1.3k 1.2× 771 1.1× 371 0.9× 453 1.4× 262 1.4× 25 1.7k
Konstantinos Vekrellis United States 7 1.2k 1.2× 823 1.2× 252 0.6× 348 1.1× 274 1.4× 7 1.8k
Jian–Zhi Wang China 20 867 0.8× 759 1.1× 281 0.7× 389 1.2× 249 1.3× 39 1.7k
Marianne Grant United States 18 1.2k 1.2× 713 1.0× 304 0.7× 601 1.9× 297 1.6× 42 1.9k
Nathalie Pierrot Belgium 21 881 0.9× 641 0.9× 238 0.6× 396 1.2× 217 1.1× 30 1.4k
Eleanor Drummond Australia 22 1.3k 1.3× 868 1.3× 383 0.9× 385 1.2× 338 1.8× 55 2.2k
Suhail Rasool United States 19 1.3k 1.3× 792 1.1× 371 0.9× 248 0.8× 278 1.5× 31 1.8k
Ilie‐Cosmin Stancu Belgium 14 992 1.0× 696 1.0× 511 1.2× 293 0.9× 144 0.8× 17 1.5k
Elizabeth Brigham United States 14 1.1k 1.0× 652 0.9× 351 0.8× 240 0.7× 297 1.6× 22 1.6k

Countries citing papers authored by Lee‐Way Jin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Lee‐Way Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Lee‐Way Jin. A scholar is included among the top collaborators of Lee‐Way Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lee‐Way Jin. Lee‐Way Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tang, Xinyu, Fei Guo, Carlito B. Lebrilla, et al.. (2025). Analysis of TEM micrographs with deep learning reveals APOE genotype-specific associations between HDL particle diameter and Alzheimer’s dementia. Cell Reports Methods. 5(1). 100962–100962.
2.
Harvey, Danielle, et al.. (2024). Elevated lipopolysaccharide binding protein in Alzheimer’s disease patients with APOE3/E3 but not APOE3/E4 genotype. Frontiers in Neurology. 15. 1408220–1408220. 5 indexed citations
3.
4.
Altman, Robin, Tamás Kálai, Izumi Maezawa, et al.. (2018). A Bifunctional Anti-Amyloid Blocks Oxidative Stress and the Accumulation of Intraneuronal Amyloid-Beta. Molecules. 23(8). 2010–2010. 18 indexed citations
5.
Hong, Hyun-Seok, Izumi Maezawa, Jitka Petrlová, et al.. (2015). Tomoregulin (TMEFF2) Binds Alzheimer’s Disease Amyloid-β (Aβ) Oligomer and AβPP and Protects Neurons from Aβ-Induced Toxicity. Journal of Alzheimer s Disease. 48(3). 731–743. 17 indexed citations
6.
Barisone, Gustavo A., et al.. (2013). Amylin deposition in the brain: A second amyloid in Alzheimer disease?. Annals of Neurology. 74(4). 517–526. 285 indexed citations
7.
Jin, Lee‐Way. (2012). Microglia in Alzheimer's Disease. International Journal of Alzheimer s Disease. 2012. 1–2. 5 indexed citations
8.
Li, Jie, Ruiwu Liu, Kit S. Lam, Lee‐Way Jin, & Yong Duan. (2011). Alzheimer's Disease Drug Candidates Stabilize A-β Protein Native Structure by Interacting with the Hydrophobic Core. Biophysical Journal. 100(4). 1076–1082. 25 indexed citations
9.
Lin, Kun‐Ju, Wen‐Chuin Hsu, Ing‐Tsung Hsiao, et al.. (2010). Whole-body biodistribution and brain PET imaging with [18F]AV-45, a novel amyloid imaging agent — a pilot study. Nuclear Medicine and Biology. 37(4). 497–508. 106 indexed citations
10.
Lulevich, Valentin, et al.. (2010). Single-cell mechanics provides a sensitive and quantitative means for probing amyloid-β peptide and neuronal cell interactions. Proceedings of the National Academy of Sciences. 107(31). 13872–13877. 68 indexed citations
11.
Horiuchi, Makoto, Izumi Maezawa, Aki Itoh, et al.. (2010). Amyloid β1–42 oligomer inhibits myelin sheet formation in vitro. Neurobiology of Aging. 33(3). 499–509. 65 indexed citations
12.
Rana, Sandeep, et al.. (2008). Syntheses of tricyclic pyrones and pyridinones and protection of Aβ-peptide induced MC65 neuronal cell death. Bioorganic & Medicinal Chemistry Letters. 19(3). 670–674. 16 indexed citations
13.
Qü, Wenchao, Mei-Ping Kung, Catherine Hou, Lee‐Way Jin, & Hank F. Kung. (2007). Radioiodinated aza-diphenylacetylenes as potential SPECT imaging agents for β-amyloid plaque detection. Bioorganic & Medicinal Chemistry Letters. 17(13). 3581–3584. 13 indexed citations
14.
15.
Maezawa, Izumi, Lee‐Way Jin, Randall L. Woltjer, et al.. (2004). Apolipoprotein E isoforms and apolipoprotein AI protect from amyloid precursor protein carboxy terminal fragment‐associated cytotoxicity. Journal of Neurochemistry. 91(6). 1312–1321. 42 indexed citations
16.
Hu, Qubai, Mark G. Hearn, Kimiko Shimizu, et al.. (2003). Isoform‐specific knockout of FE65 leads to impaired learning and memory. Journal of Neuroscience Research. 75(1). 12–24. 61 indexed citations
17.
Jin, Lee‐Way, Duy H. Hua, Feng‐Shiun Shie, et al.. (2002). Novel tricyclic pyrone compounds prevent intracellular APP C99-induced cell death. Journal of Molecular Neuroscience. 19(1-2). 57–61. 41 indexed citations
18.
Husseman, Jacob, Janice L. Hallows, David B. Bregman, et al.. (2001). Hyperphosphorylation of RNA Polymerase II and Reduced Neuronal RNA Levels Precede Neurofibrillary Tangles in Alzheimer Disease. Journal of Neuropathology & Experimental Neurology. 60(12). 1219–1232. 20 indexed citations
19.
Shie, Feng‐Shiun, Lee‐Way Jin, James B. Leverenz, & Renee Leboeuf. (2000). Early β-amyloid deposition in hippocampal neurons in β-amyloid precursor protein 695 (APP695) transgenic mice. Neurobiology of Aging. 21. 225–225. 1 indexed citations
20.
Jin, Lee‐Way & Tsunao Saitoh. (1995). Changes in Protein Kinases in Brain Aging and Alzheimer??s Disease. Drugs & Aging. 6(2). 136–149. 45 indexed citations

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.

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