Tiffany Wu
- Physiology top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Neurology top 1%
- Pharmacology top 2%
- Co-authors
- Lennart MuckeJorge J. PalopErik D. RobersonFengrong YanKimberly Scearce‐LevieIrene H. ChengGui-Qiu YuHertzel C. Gerstein
- Topics
- Alzheimer's disease research and treatments (8 papers)Neuroscience and Neuropharmacology Research (5 papers)Cholinesterase and Neurodegenerative Diseases (5 papers)
- Journals
- ScienceNeuronJournal of Neuroscience
- Partner nations
- United StatesSingaporeSouth Korea
In The Last Decade
Tiffany Wu
17 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Physiology 2.1k
- Cellular and Molecular Neuroscience 1.2k
- Molecular Biology 840
- Neurology 758
- Pharmacology 579
Countries citing papers authored by Tiffany Wu
This map shows the geographic impact of Tiffany 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 Tiffany Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiffany Wu more than expected).
Fields of papers citing papers by Tiffany Wu
This network shows the impact of papers produced by Tiffany 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 Tiffany Wu. The network helps show where Tiffany Wu may publish in the future.
Co-authorship network of co-authors of Tiffany Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Tiffany Wu. A scholar is included among the top collaborators of Tiffany Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tiffany Wu. Tiffany Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 125 | |
| 6 | 8 | |
| 7 | 321 | |
| 8 | 12 | |
| 9 | 12 | |
| 10 | 57 | |
| 11 | 36 | |
| 12 | 44 | |
| 13 | Amyloid-β/Fyn–Induced Synaptic, Network, and Cognitive Impairments Depend on Tau Levels in Multiple Mouse Models of Alzheimer's Diseasebreakdown → | 523 |
| 14 | 119 | |
| 15 | 85 | |
| 16 | 68 | |
| 17 | 13 | |
| 18 | Reducing Endogenous Tau Ameliorates Amyloid ß-Induced Deficits in an Alzheimer's Disease Mouse Modelbreakdown → | 1505 |
About Tiffany Wu
Tiffany Wu is a scholar working on Neurology, Molecular Medicine and General Dentistry, having authored 18 papers that have together received 2.9k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (8 papers), Neuroscience and Neuropharmacology Research (5 papers) and Cholinesterase and Neurodegenerative Diseases (5 papers). The work is most often cited by research in Neurology (758 citations), Physiology (2.1k citations) and Cellular and Molecular Neuroscience (1.2k citations). Tiffany Wu has collaborated with scholars based in United States, Singapore and South Korea. Frequent co-authors include Lennart Mucke, Jorge J. Palop, Erik D. Roberson, Fengrong Yan, Kimberly Scearce‐Levie, Irene H. Cheng, Gui-Qiu Yu, Hertzel C. Gerstein, William J. Meilandt and Jeannie Chin. Their work appears in journals such as Science, Neuron and Journal of Neuroscience.
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.