Lan Ye

569 citations
16 papers · 368 · h-index 9

Impact in

  • Neurology top 10%
    • Neurological diseases and metabolism
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Intracerebral and Subarachnoid Hemorrhage Research
  • Physiology top 10%
    • Alzheimer's disease research and treatments

Papers in

    • Parkinson's Disease Mechanisms and Treatments 6
    • Neurological disorders and treatments 4
    • Neurological diseases and metabolism 1
    • Alzheimer's disease research and treatments 7

Lan Ye

12 papers receiving 364 citations

Peers

Lan Ye
Comparison fields: 5 of 66
  • Neurology 105
  • Physiology 252
  • Biological Psychiatry 17
  • Cellular and Molecular Neuroscience 64
  • Neurology 44
Replace Caroline Kerridge with:
Caroline Kerridge United Kingdom
Ori Liraz Israel
Ola Philipson Sweden
Zhangyu Guo China
Astrid Gumucio Sweden
Jonny Daborg Sweden
Eleni Gkanatsiou Sweden
Nicole L. Bjorklund United States
Tien‐Phat V. Huynh United States
Mei-Chen Liao United States
Lan Ye relative to Caroline Kerridge United Kingdom Caroline Kerridge's profile →
Citations per field
00.5×1.5×
Caroline Kerridge · 1×
Citations per year

Countries citing papers authored by Lan Ye

Since Specialization
Citations

This map shows the geographic impact of Lan Ye'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 Lan Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Ye more than expected).

Fields of papers citing papers by Lan Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lan Ye. 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 Lan Ye. The network helps show where Lan Ye may publish in the future.

Co-authors

The 25 scholars most cited alongside Lan Ye, 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 Lan Ye Line = papers co-authored together Lan Ye links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2014101
2 201454
3 201544
4 201543
5 201735
6 200328
7 201924
8 201223
9 20208
10 20214
11 20253
12 20251
13 20250
14 20250
15 20250
16 20240

About Lan Ye

Lan Ye is a scholar working on Neurology, Physiology, Cellular and Molecular Neuroscience, Molecular Biology and Pharmacology, having authored 16 papers that have together received 368 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Prion Diseases and Protein Misfolding (4 papers), Neurological disorders and treatments (4 papers), Genetic Neurodegenerative Diseases (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Neurological diseases and metabolism (1 paper). The work is most often cited by research in Neurology (105 citations), Physiology (252 citations), Biological Psychiatry (17 citations), Cellular and Molecular Neuroscience (64 citations) and Neurology (44 citations). Lan Ye has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Mathias Jucker, Sarah K. Fritschi, Lary C. Walker, Ulrike Obermüller, Frank Baumann, Yvonne S. Eisele, Jin‐Shun Qi, Jian‐Tian Qiao, Jasmin Mahler and Matthias Staufenbiel. Their work appears in journals such as Journal of Neural Transmission, Nature Medicine, Acta Neuropathologica, Nature Neuroscience and Journal of Neurology.

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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