Wing‐Yu Fu
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
Papers in
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- Neuroscience and Neuropharmacology Research 9
- Axon Guidance and Neuronal Signaling 6
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- Signaling Pathways in Disease 2
- Co-authors
- Nancy Y. Ip (24 shared papers)Amy K.Y. Fu (20 shared papers)Yu Chen (6 shared papers)Lei Shi (3 shared papers)Kwok‐On Lai (2 shared papers)Wing‐Ho Yung (3 shared papers)Tom H. Cheung (2 shared papers)Xiaopu Zhou (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Scientific Reports (3 papers)Nature Neuroscience (3 papers)ACS Chemical Neuroscience (2 papers)Journal of Neuroscience (2 papers)
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
Wing‐Yu Fu
25 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 92
- Developmental Neuroscience 213
- Biological Psychiatry 108
- Neurology 345
- Cellular and Molecular Neuroscience 585
- Physiology 417
Countries citing papers authored by Wing‐Yu Fu
This map shows the geographic impact of Wing‐Yu Fu'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 Wing‐Yu Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wing‐Yu Fu more than expected).
Fields of papers citing papers by Wing‐Yu Fu
This network shows the impact of papers produced by Wing‐Yu Fu. 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 Wing‐Yu Fu. The network helps show where Wing‐Yu Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wing‐Yu Fu, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 294 | |
| 2 | 2006 | 257 | |
| 3 | 2010 | 144 | |
| 4 | 2018 | 106 | |
| 5 | 2004 | 101 | |
| 6 | 2020 | 92 | |
| 7 | 2007 | 88 | |
| 8 | 2020 | 80 | |
| 9 | 2013 | 70 | |
| 10 | 2011 | 70 | |
| 11 | 2010 | 55 | |
| 12 | 2002 | 50 | |
| 13 | 2022 | 31 | |
| 14 | 2015 | 31 | |
| 15 | 2015 | 24 | |
| 16 | 2018 | 23 | |
| 17 | 2021 | 23 | |
| 18 | 2015 | 21 | |
| 19 | 2002 | 20 | |
| 20 | 2011 | 19 |
About Wing‐Yu Fu
Wing‐Yu Fu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Physiology and Endocrine and Autonomic Systems, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Axon Guidance and Neuronal Signaling (6 papers), Alzheimer's disease research and treatments (3 papers), IL-33, ST2, and ILC Pathways (3 papers), Cancer-related Molecular Pathways (3 papers), Signaling Pathways in Disease (2 papers) and Biochemical Analysis and Sensing Techniques (2 papers). The work is most often cited by research in Developmental Neuroscience (213 citations), Biological Psychiatry (108 citations), Neurology (345 citations), Cellular and Molecular Neuroscience (585 citations) and Physiology (417 citations). Wing‐Yu Fu has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Nancy Y. Ip, Amy K.Y. Fu, Yu Chen, Lei Shi, Kwok‐On Lai, Wing‐Ho Yung, Tom H. Cheung, Xiaopu Zhou, Ivy Chi Wai Chan and Foo Y. Liew. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports, Nature Neuroscience, ACS Chemical Neuroscience 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.