Lee‐Way Jin

9.6k citations
39 papers · 1.7k indexed · h-index 21

Lee‐Way Jin

38 papers receiving 1.7k citations

Peers

Lee‐Way Jin
Comparison fields: 5 of 101
  • Neurology 424
  • Physiology 1.0k
  • Biological Psychiatry 88
  • Cellular and Molecular Neuroscience 324
  • Developmental Neuroscience 61
Replace Paige E. Cramer with:
Paige E. Cramer United States
Zhuohao He China
Marianne Grant United States
Ulrike Zeitschel Germany
Bin Ji Japan
Carol A. Miller United States
Nathalie Pierrot Belgium
H. Bea Kuiperij Netherlands
Zhongmin Xiang United States
Ilie‐Cosmin Stancu Belgium
Lee‐Way Jin relative to Paige E. Cramer United States Paige E. Cramer's profile →
Citations per field
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Paige E. Cramer · 1×
Citations per year

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

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.

Border = papers with Lee‐Way Jin Line = papers co-authored together Lee‐Way Jin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20245
4 202112
5 201818
6 201517
7 2013285
8 20125
9 201125
10 201065
11 2010106
12 200816
13 200713
14 200652
15 200442
16 200312
17 200361
18 200241
19 200120
20 199545

About Lee‐Way Jin

Lee‐Way Jin is a scholar working on Physiology, Neurology, Cellular and Molecular Neuroscience, Developmental Neuroscience and Pharmacology, having authored 39 papers that have together received 1.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (35 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Cholinesterase and Neurodegenerative Diseases (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Computational Drug Discovery Methods (6 papers), Nuclear Receptors and Signaling (5 papers), Neurological Disease Mechanisms and Treatments (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Neurology (424 citations), Physiology (1.0k citations), Biological Psychiatry (88 citations), Cellular and Molecular Neuroscience (324 citations) and Developmental Neuroscience (61 citations). Lee‐Way Jin has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Izumi Maezawa, Heike Wulff, Pavel I. Zimin, Charles DeCarli, Florin Despa, Elva Dı́az, Gustavo A. Barisone, Allan I. Levey, Srikant Rangaraju and Feng‐Shiun Shie. Their work appears in journals such as Journal of Alzheimer s Disease, Frontiers in Aging Neuroscience, Alzheimer s & Dementia, Bioorganic & Medicinal Chemistry Letters and Neurobiology of Aging.

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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