Lee‐Way Jin

9.8k citations
39 papers · 1.8k · h-index 21

Impact in

  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms
  • Physiology top 2%
    • Alzheimer's disease research and treatments

Papers in

Lee‐Way Jin

38 papers receiving 1.8k citations

Peers

Lee‐Way Jin
Comparison fields: 5 of 98
  • Neurology 393
  • Physiology 985
  • Biological Psychiatry 83
  • Cellular and Molecular Neuroscience 316
  • Developmental Neuroscience 63
Replace Ulrike Zeitschel with:
Ulrike Zeitschel Germany
Marianne Grant United States
Nathalie Pierrot Belgium
Zhuohao He China
Bin Ji Japan
Eleanor Drummond United States
Virginia M. Lee United States
Claudia Prada United States
Zhongmin Xiang United States
Pascal Kienlen‐Campard Belgium
Lee‐Way Jin relative to Ulrike Zeitschel Germany Ulrike Zeitschel's profile →
Citations per field
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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-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.

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

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013296
2 2010235
3 2010111
4
Protein kinases and phosphorylation in neurologic disorders and cell death.
1991102
5 201598
6 201795
7 200373
8 201072
9 201071
10 200361
11 200652
12 199548
13 200743
14 200443
15 200241
16 201332
17 200332
18 200729
19 201126
20 201524

About Lee‐Way Jin

Lee‐Way Jin is a scholar working on Physiology, Cellular and Molecular Neuroscience, Neurology, Molecular Biology and Pharmacology, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (33 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Cholinesterase and Neurodegenerative Diseases (7 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 (393 citations), Physiology (985 citations), Biological Psychiatry (83 citations), Cellular and Molecular Neuroscience (316 citations) and Developmental Neuroscience (63 citations). Lee‐Way Jin has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Izumi Maezawa, Heike Wulff, Charles DeCarli, Pavel I. Zimin, Gustavo A. Barisone, Elva Dı́az, Florin Despa, Srikant Rangaraju, Allan I. Levey and Feng‐Shiun Shie. Their work appears in journals such as Journal of Alzheimer s Disease, Bioorganic & Medicinal Chemistry Letters, Annals of Neurology, Frontiers in Aging Neuroscience and Journal of Molecular Neuroscience.

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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