Lee‐Way Jin

4.9k citations
37 papers · 2.6k indexed · 1 hit paper · h-index 23

Impact in

Papers in

Lee‐Way Jin

36 papers receiving 2.6k citations

Hit Papers

Gram-negative bacterial molecules associate with Alzheimer disease pathology 2016 · 412 citations
4122016202620192022100200300400

Peers

Lee‐Way Jin
Comparison fields: 5 of 117
  • Biological Psychiatry 280
  • Physiology 1.4k
  • Neurology 423
  • Cellular and Molecular Neuroscience 382
  • Neurology 309
Replace Bin Ji with:
Bin Ji Japan
Dan Liu China
Sofie Lautrup Norway
Dan Frenkel Israel
Henrietta M. Nielsen Sweden
Vitaly Vasilevko United States
Urszula Wojda Poland
Marc Gleichmann United States
Per Nilsson Sweden
Lee‐Way Jin relative to Bin Ji Japan Bin Ji's profile →
Citations per field
00.5×1.7×
Bin Ji · 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-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
#Work
1 20250
2 202121
3 202114
4 202069
5 20209
6 201766
7 201722
8 201631
9 201573
10 20158
11 201580
12 201440
13 2014159
14 201215
15 200823
16 200519
17 2004144
18 2004180
19 200253
20 20025

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.

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