Qian Wu
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms 17
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics 18
- Pluripotent Stem Cells Research 6
- RNA Research and Splicing 5
- Biophysics top 5%
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- Hydrogen embrittlement and corrosion behaviors in metals 4
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- Cancer-related molecular mechanisms research 4
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- Transgenic Plants and Applications 4
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Qian Wu
65 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Developmental Neuroscience 434
- Neurology 284
- Molecular Biology 1.4k
- Cellular and Molecular Neuroscience 283
- Biophysics 74
Countries citing papers authored by Qian Wu
This map shows the geographic impact of Qian 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 Qian Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qian Wu more than expected).
Fields of papers citing papers by Qian Wu
This network shows the impact of papers produced by Qian 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 Qian Wu. The network helps show where Qian Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qian 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 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 10 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 6 | |
| 9 | 2022 | 9 | |
| 10 | Vascularized human cortical organoids (vOrganoids) model cortical development in vivobreakdown → | 2020 | 278 |
| 11 | 2020 | 42 | |
| 12 | 2020 | 11 | |
| 13 | 2020 | 4 | |
| 14 | 2019 | 36 | |
| 15 | 2018 | 6 | |
| 16 | A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortexbreakdown → | 2018 | 408 |
| 17 | 2017 | 91 | |
| 18 | 2013 | 33 | |
| 19 | Obtaining fertile transgenic plants of resistant-insect rice (Oryza sativa L.) via particle bombardment | 2001 | 1 |
| 20 | Studies on Highly Efficient Planting of Transgenic Cotton | 1999 | 4 |
About Qian Wu
Qian Wu is a scholar working on Developmental Neuroscience, Metals and Alloys and Neurology, having authored 67 papers that have together received 2.0k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (18 papers), Neurogenesis and neuroplasticity mechanisms (17 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Pluripotent Stem Cells Research (6 papers), RNA Research and Splicing (5 papers), Hydrogen embrittlement and corrosion behaviors in metals (4 papers), Cancer-related molecular mechanisms research (4 papers) and Transgenic Plants and Applications (4 papers). The work is most often cited by research in Developmental Neuroscience (434 citations), Neurology (284 citations) and Molecular Biology (1.4k citations). Qian Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaoqun Wang, Le Sun, Suijuan Zhong, Fuchou Tang, Ai Fang, Mengdi Wang, Ji Dong, Ruiguo Chen, Jie Qiao and Peng Li. Their work appears in journals such as Nature Communications, Protein & Cell, Cell Research, Cerebral Cortex and Scientific Reports.
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.