Qingfeng Wu
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Epigenetics and DNA Methylation 5
- Single-cell and spatial transcriptomics 4
- Mitochondrial Function and Pathology 4
- Wnt/β-catenin signaling in development and cancer 3
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- Neurogenesis and neuroplasticity mechanisms 13
- Co-authors
- Gisela Helfer (3 shared papers)Lan Bao (6 shared papers)Yang Liu (3 shared papers)Shuai Li (2 shared papers)Qiong Wang (3 shared papers)Xiongxiong Liu (5 shared papers)Xu Zhang (1 shared paper)Xiang Gao (1 shared paper)
- Journals
- Neuron (5 papers)Cell (2 papers)Nature Communications (2 papers)Brain (2 papers)Developmental Cell (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Qingfeng Wu
54 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 100
- Developmental Neuroscience 247
- Endocrine and Autonomic Systems 99
- Molecular Biology 823
- Neurology 91
- Cellular and Molecular Neuroscience 184
Countries citing papers authored by Qingfeng Wu
This map shows the geographic impact of Qingfeng 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 Qingfeng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingfeng Wu more than expected).
Fields of papers citing papers by Qingfeng Wu
This network shows the impact of papers produced by Qingfeng 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 Qingfeng Wu. The network helps show where Qingfeng Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingfeng 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 241 | |
| 2 | 2019 | 170 | |
| 3 | 2019 | 151 | |
| 4 | 2012 | 138 | |
| 5 | 2018 | 78 | |
| 6 | 2017 | 60 | |
| 7 | 2021 | 59 | |
| 8 | 2012 | 54 | |
| 9 | 2017 | 51 | |
| 10 | 2012 | 41 | |
| 11 | 2004 | 41 | |
| 12 | 2022 | 33 | |
| 13 | 2021 | 33 | |
| 14 | 2024 | 32 | |
| 15 | 2021 | 32 | |
| 16 | 2016 | 29 | |
| 17 | 2023 | 28 | |
| 18 | 2014 | 28 | |
| 19 | 2022 | 27 | |
| 20 | 2012 | 27 |
About Qingfeng Wu
Qingfeng Wu is a scholar working on Molecular Biology, Developmental Neuroscience, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Epidemiology, having authored 56 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (13 papers), Epigenetics and DNA Methylation (5 papers), Single-cell and spatial transcriptomics (4 papers), Sleep and Wakefulness Research (4 papers), Autophagy in Disease and Therapy (4 papers), Axon Guidance and Neuronal Signaling (4 papers), Mitochondrial Function and Pathology (4 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). The work is most often cited by research in Developmental Neuroscience (247 citations), Endocrine and Autonomic Systems (99 citations), Molecular Biology (823 citations), Neurology (91 citations) and Cellular and Molecular Neuroscience (184 citations). Qingfeng Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Gisela Helfer, Lan Bao, Yang Liu, Shuai Li, Qiong Wang, Xiongxiong Liu, Xu Zhang, Xiang Gao, Xiao‐bing Yuan and Xu Zhang. Their work appears in journals such as Neuron, Cell, Nature Communications, Brain and Developmental Cell.
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.