Wanfu Wu
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
- Genetics 9
- Estrogen and related hormone effects 8
- Mesenchymal stem cell research 2
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- Cancer, Hypoxia, and Metabolism 4
- Breast Cancer Treatment Studies 2
- Co-authors
- Jan-Ακε Gustafsson (17 shared papers)Margaret Warner (12 shared papers)Yubing Dai (6 shared papers)Venkatesh Krishnan (1 shared paper)Xinjie Tan (1 shared paper)Zhen Yu (5 shared papers)Xiaoyu Song (6 shared papers)Yifei Miao (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (9 papers)Molecular Therapy — Oncolytics (1 paper)Neurochemical Research (1 paper)Scientific Reports (1 paper)International Journal of Biological Sciences (1 paper)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Wanfu Wu
27 papers receiving 645 citations
Peers
Comparison fields: 5 of 85
- Neurology 78
- Developmental Neuroscience 38
- Behavioral Neuroscience 26
- Genetics 151
- Oncology 132
Countries citing papers authored by Wanfu Wu
This map shows the geographic impact of Wanfu 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 Wanfu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanfu Wu more than expected).
Fields of papers citing papers by Wanfu Wu
This network shows the impact of papers produced by Wanfu 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 Wanfu Wu. The network helps show where Wanfu Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanfu 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 121 | |
| 2 | 2014 | 75 | |
| 3 | 2009 | 48 | |
| 4 | 2016 | 39 | |
| 5 | 2015 | 36 | |
| 6 | 2018 | 36 | |
| 7 | 2019 | 35 | |
| 8 | 2018 | 33 | |
| 9 | 2015 | 28 | |
| 10 | 2021 | 25 | |
| 11 | 2017 | 20 | |
| 12 | 2021 | 20 | |
| 13 | 2021 | 18 | |
| 14 | 2022 | 17 | |
| 15 | 2013 | 16 | |
| 16 | 2020 | 14 | |
| 17 | 2020 | 12 | |
| 18 | 2020 | 12 | |
| 19 | 2015 | 11 | |
| 20 | 2009 | 9 |
About Wanfu Wu
Wanfu Wu is a scholar working on Genetics, Cancer Research, Surgery, Molecular Biology and Oncology, having authored 27 papers that have together received 645 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (8 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cholesterol and Lipid Metabolism (4 papers), Intracerebral and Subarachnoid Hemorrhage Research (4 papers), Acute Ischemic Stroke Management (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Mesenchymal stem cell research (2 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Neurology (78 citations), Developmental Neuroscience (38 citations), Behavioral Neuroscience (26 citations), Genetics (151 citations) and Oncology (132 citations). Wanfu Wu has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Jan-Ακε Gustafsson, Margaret Warner, Yubing Dai, Venkatesh Krishnan, Xinjie Tan, Zhen Yu, Xiaoyu Song, Yifei Miao, Jinfang Li and Ruipeng Zhao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Therapy — Oncolytics, Neurochemical Research, Scientific Reports and International Journal of Biological Sciences.
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.