Tony Wu
Impact in
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- Neuroscience and Neuropharmacology Research
- Neurology top 2%
- Neurological disorders and treatments
Papers in
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- Neuroscience and Neuropharmacology Research 22
- Neurobiology and Insect Physiology Research 11
- Neuropeptides and Animal Physiology 8
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- Epilepsy research and treatment 34
- Co-authors
- Hung‐Li WangYunn‐Hwa MaJyh‐Ping ChenGrant R. SnibsonElsie ChanAmirul IslamMark WhitingSiew‐Na Lim
- Journals
- Epilepsy & Behavior (4 papers)Seizure (3 papers)Journal of Magnetism and Magnetic Materials (3 papers)Journal of the Neurological Sciences (3 papers)World Neurosurgery (3 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Tony Wu
103 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Cellular and Molecular Neuroscience 994
- Neurology 555
- Psychiatry and Mental health 522
- Ophthalmology 221
- Neurology 184
Countries citing papers authored by Tony Wu
This map shows the geographic impact of Tony 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 Tony Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tony Wu more than expected).
Fields of papers citing papers by Tony Wu
This network shows the impact of papers produced by Tony 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 Tony Wu. The network helps show where Tony Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tony 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 | 2023 | 4 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 19 | |
| 6 | 2021 | 12 | |
| 7 | 2020 | 13 | |
| 8 | 2019 | 12 | |
| 9 | 2018 | 52 | |
| 10 | 2016 | 2 | |
| 11 | A Randomized, Controlled Trial of Corneal Collagen Cross-Linking in Progressive Keratoconus Hit paper breakdown → | 2014 | 454 |
| 12 | 2011 | 42 | |
| 13 | 2010 | 35 | |
| 14 | 2010 | 10 | |
| 15 | 2008 | 24 | |
| 16 | 2005 | 56 | |
| 17 | Modeling Volatility for the Chinese Equity Markets | 2004 | 19 |
| 18 | 2004 | 6 | |
| 19 | 1995 | 41 | |
| 20 | 1994 | 19 |
About Tony Wu
Tony Wu is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health, Neurology, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience, having authored 108 papers that have together received 2.8k indexed citations. Recurring topics across this work include Epilepsy research and treatment (34 papers), Neuroscience and Neuropharmacology Research (22 papers), Pharmacological Effects and Toxicity Studies (21 papers), EEG and Brain-Computer Interfaces (18 papers), Neurological disorders and treatments (14 papers), Neurobiology and Insect Physiology Research (11 papers), Neuropeptides and Animal Physiology (8 papers) and Receptor Mechanisms and Signaling (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (994 citations), Neurology (555 citations), Psychiatry and Mental health (522 citations), Ophthalmology (221 citations) and Neurology (184 citations). Tony Wu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Hung‐Li Wang, Yunn‐Hwa Ma, Jyh‐Ping Chen, Grant R. Snibson, Elsie Chan, Amirul Islam, Mark Whiting, Siew‐Na Lim, Shih‐Tseng Lee and Yu‐Tai Tsai. Their work appears in journals such as Epilepsy & Behavior, Seizure, Journal of Magnetism and Magnetic Materials, Journal of the Neurological Sciences and World Neurosurgery.
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.