Bei Wu
Impact in
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- Neuroscience and Neuropharmacology Research
- Neurology top 5%
- Neurological diseases and metabolism
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
Papers in
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- Prion Diseases and Protein Misfolding 8
- RNA regulation and disease 2
- Mitochondrial Function and Pathology 2
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- Alzheimer's disease research and treatments 5
- Co-authors
- Jie Shen (5 shared papers)Shumin Duan (2 shared papers)Thomas C. Südhof (1 shared paper)David A. Harris (8 shared papers)Chen Zhang (1 shared paper)Mary Wines-Samuelson (1 shared paper)Vassilios Beglopoulos (1 shared paper)Dawei Zhang (1 shared paper)
- Journals
- Neuron (2 papers)Prion (1 paper)Tetrahedron Letters (1 paper)European Journal of Biochemistry (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Bei Wu
23 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 93
- Cellular and Molecular Neuroscience 430
- Neurology 192
- Physiology 458
- Developmental Neuroscience 67
- Neurology 193
Countries citing papers authored by Bei Wu
This map shows the geographic impact of Bei 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 Bei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei Wu more than expected).
Fields of papers citing papers by Bei Wu
This network shows the impact of papers produced by Bei 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 Bei Wu. The network helps show where Bei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bei 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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 236 | |
| 2 | 2015 | 171 | |
| 3 | 2013 | 111 | |
| 4 | 2006 | 108 | |
| 5 | 2009 | 100 | |
| 6 | 2009 | 100 | |
| 7 | 2013 | 96 | |
| 8 | 2008 | 77 | |
| 9 | 2017 | 59 | |
| 10 | 2018 | 50 | |
| 11 | 1992 | 35 | |
| 12 | 2020 | 32 | |
| 13 | 2019 | 27 | |
| 14 | 2018 | 23 | |
| 15 | 1993 | 23 | |
| 16 | 2013 | 20 | |
| 17 | 2010 | 9 | |
| 18 | 2001 | 7 | |
| 19 | 2020 | 5 | |
| 20 | 2004 | 5 |
About Bei Wu
Bei Wu is a scholar working on Molecular Biology, Physiology, Neurology, Cellular and Molecular Neuroscience and Organic Chemistry, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (8 papers), Alzheimer's disease research and treatments (5 papers), Neurological diseases and metabolism (5 papers), Trace Elements in Health (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Molecular Sensors and Ion Detection (2 papers), RNA regulation and disease (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (430 citations), Neurology (192 citations), Physiology (458 citations), Developmental Neuroscience (67 citations) and Neurology (193 citations). Bei Wu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Jie Shen, Shumin Duan, Thomas C. Südhof, David A. Harris, Chen Zhang, Mary Wines-Samuelson, Vassilios Beglopoulos, Dawei Zhang, Ioannis Dragatsis and Hiroo Yamaguchi. Their work appears in journals such as Neuron, Prion, Tetrahedron Letters, European Journal of Biochemistry 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.