Linyu Wei

654 citations
34 papers · 461 · h-index 14

Impact in

  • Physiology top 5%
    • Alzheimer's disease research and treatments
    • Adenosine and Purinergic Signaling
    • Tryptophan and brain disorders

Papers in

    • Ion channel regulation and function 4
    • Ubiquitin and proteasome pathways 2
    • Alzheimer's disease research and treatments 5
    • Adenosine and Purinergic Signaling 4

Linyu Wei

34 papers receiving 459 citations

Peers

Linyu Wei
Comparison fields: 5 of 97
  • Physiology 72
  • Biological Psychiatry 34
  • Sensory Systems 42
  • Neurology 48
  • Physiology 107
Replace Damien Toulorge with:
Damien Toulorge France
Yannick Marchalant United States
Filippo Ugolini Italy
Peter‐A. Löschmann Germany
Christopher Katnik United States
Jasinda H. Lee Singapore
Jaume Lillo Spain
Theron M. Wall United States
Kwan Yeop Lee United States
Stjepana Kovac Germany
Linyu Wei relative to Damien Toulorge France Damien Toulorge's profile →
Citations per field
00.5×10×
Damien Toulorge · 1×
Citations per year

Countries citing papers authored by Linyu Wei

Since Specialization
Citations

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

Fields of papers citing papers by Linyu Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202157
2 201952
3 201840
4 201939
5 201527
6 201924
7 201923
8 201622
9 201321
10 201620
11 201319
12 202216
13 202315
14 202414
15 202411
16 20239
17 20249
18 20208
19 20145
20 20215

About Linyu Wei

Linyu Wei is a scholar working on Molecular Biology, Physiology, Artificial Intelligence, Physiology and Cellular and Molecular Neuroscience, having authored 34 papers that have together received 461 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Adenosine and Purinergic Signaling (4 papers), Ion channel regulation and function (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Natural Language Processing Techniques (3 papers), Neural Networks and Applications (3 papers), Topic Modeling (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Physiology (72 citations), Biological Psychiatry (34 citations), Sensory Systems (42 citations), Neurology (48 citations) and Physiology (107 citations). Linyu Wei has collaborated with scholars based in China, United Kingdom and France. Frequent co-authors include Lin‐Hua Jiang, Dongliang Li, Chaokun Li, Sébastien Roger, Jian‐Zhi Wang, Xinjuan Li, Mingsha Zhang, Jie Zheng, Jing Li and Emily A. Caseley. Their work appears in journals such as Frontiers in Pharmacology, Engineering Applications of Artificial Intelligence, Acta Pharmacologica Sinica, Signal Transduction and Targeted Therapy and Applied Biochemistry and Biotechnology.

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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