Linyu Wei
Impact in
- Physiology top 5%
- Alzheimer's disease research and treatments
- Adenosine and Purinergic Signaling
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
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- Ion channel regulation and function 4
- Protein Degradation and Inhibitors 2
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- Alzheimer's disease research and treatments 6
- Adenosine and Purinergic Signaling 4
- Co-authors
- Lin‐Hua Jiang (8 shared papers)Dongliang Li (5 shared papers)Chaokun Li (8 shared papers)Sébastien Roger (2 shared papers)Jian‐Zhi Wang (4 shared papers)Xinjuan Li (8 shared papers)Mingsha Zhang (2 shared papers)Xuebin Yang (1 shared paper)
- Journals
- Frontiers in Pharmacology (2 papers)Clinical and Translational Medicine (1 paper)Scientific Reports (1 paper)Neuroscience & Biobehavioral Reviews (1 paper)Journal of Cellular and Molecular Medicine (1 paper)
- Partner nations
- ChinaUnited KingdomFrance
In The Last Decade
Linyu Wei
34 papers receiving 430 citations
Peers
Comparison fields: 5 of 99
- Physiology 72
- Biological Psychiatry 35
- Sensory Systems 46
- Neurology 61
- Physiology 111
Countries citing papers authored by Linyu Wei
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
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.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 50 | |
| 2 | 2021 | 49 | |
| 3 | 2018 | 39 | |
| 4 | 2019 | 39 | |
| 5 | 2015 | 26 | |
| 6 | 2019 | 24 | |
| 7 | 2019 | 23 | |
| 8 | 2016 | 22 | |
| 9 | 2013 | 21 | |
| 10 | 2016 | 20 | |
| 11 | 2013 | 19 | |
| 12 | 2022 | 16 | |
| 13 | 2023 | 12 | |
| 14 | 2024 | 10 | |
| 15 | 2023 | 9 | |
| 16 | 2020 | 8 | |
| 17 | 2024 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2014 | 5 | |
| 20 | 2021 | 5 |
About Linyu Wei
Linyu Wei is a scholar working on Molecular Biology, Physiology, Artificial Intelligence, Cellular and Molecular Neuroscience and Physiology, having authored 34 papers that have together received 432 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Adenosine and Purinergic Signaling (4 papers), Ion channel regulation and function (4 papers), Natural Language Processing Techniques (3 papers), Neural Networks and Applications (3 papers), Topic Modeling (3 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Physiology (72 citations), Biological Psychiatry (35 citations), Sensory Systems (46 citations), Neurology (61 citations) and Physiology (111 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, Xuebin Yang, Guohong Wang and Jueping Cai. Their work appears in journals such as Frontiers in Pharmacology, Clinical and Translational Medicine, Scientific Reports, Neuroscience & Biobehavioral Reviews and Journal of Cellular and Molecular Medicine.
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.