Hai-Yan Wu
Impact in
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- Neuroscience and Neuropharmacology Research
- Nerve injury and regeneration
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Signaling Pathways in Disease 4
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- Nerve injury and regeneration 3
- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Brian J. Bacskai (4 shared papers)Bradley T. Hyman (4 shared papers)Kishore V. Kuchibhotla (1 shared paper)Carli Lattarulo (1 shared paper)Tara L. Spires‐Jones (3 shared papers)Hideki Matsui (4 shared papers)Kazuhito Tomizawa (4 shared papers)Masayuki Matsushita (3 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Journal of Neuroscience (3 papers)Cytokine (1 paper)Plant Disease (1 paper)International Immunopharmacology (1 paper)
- Partner nations
- United StatesJapanHong Kong
In The Last Decade
Hai-Yan Wu
14 papers receiving 1.5k citations
Hai-Yan Wu's Hit Papers
Peers
Comparison fields: 5 of 84
- Cellular and Molecular Neuroscience 705
- Neurology 276
- Physiology 747
- Biological Psychiatry 48
- Cell Biology 230
Countries citing papers authored by Hai-Yan Wu
This map shows the geographic impact of Hai-Yan Wu'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 Hai-Yan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai-Yan Wu more than expected).
Fields of papers citing papers by Hai-Yan Wu
This network shows the impact of papers produced by Hai-Yan Wu. 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 Hai-Yan Wu. The network helps show where Hai-Yan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai-Yan Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Aβ Plaques Lead to Aberrant Regulation of Calcium Homeostasis In Vivo Resulting in Structural and Functional Disruption of Neuronal Networks Hit paper breakdown → | 2008 | 517 |
| 2 | 2010 | 313 | |
| 3 | 2004 | 199 | |
| 4 | 2008 | 112 | |
| 5 | 2005 | 91 | |
| 6 | 2012 | 88 | |
| 7 | 2007 | 77 | |
| 8 | 2016 | 37 | |
| 9 | 2003 | 25 | |
| 10 | 2016 | 13 | |
| 11 | 2016 | 7 | |
| 12 | 2025 | 3 | |
| 13 | 2005 | 2 | |
| 14 | 2023 | 1 |
About Hai-Yan Wu
Hai-Yan Wu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Physiology and Neurology, having authored 14 papers that have together received 1.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Signaling Pathways in Disease (4 papers), Nerve injury and regeneration (3 papers), Calpain Protease Function and Regulation (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Chemokine receptors and signaling (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (705 citations), Neurology (276 citations), Physiology (747 citations), Biological Psychiatry (48 citations) and Cell Biology (230 citations). Hai-Yan Wu has collaborated with scholars based in United States, Japan and Hong Kong. Frequent co-authors include Brian J. Bacskai, Bradley T. Hyman, Kishore V. Kuchibhotla, Carli Lattarulo, Tara L. Spires‐Jones, Hideki Matsui, Kazuhito Tomizawa, Masayuki Matsushita, Yun-Fei Lu and Michal Arbel‐Ornath. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience, Cytokine, Plant Disease and International Immunopharmacology.
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.