Qinwen Mao
- Biological Psychiatry top 5%
- Neurology top 2%
- Amyotrophic Lateral Sclerosis Research 12
- Molecular Biology top 2%
- RNA Interference and Gene Delivery 14
- CRISPR and Genetic Engineering 12
- Neurology top 2%
- Amyotrophic Lateral Sclerosis Research 12
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- Virus-based gene therapy research 20
- Glioma Diagnosis and Treatment 11
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- Alzheimer's disease research and treatments 12
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- CAR-T cell therapy research 9
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- Dementia and Cognitive Impairment Research 8
- Co-authors
- Haibin XiaBeverly L. DavidsonHenry L. PaulsonDan XiaoWeifeng ZhangSteven EliasonInês MartinsRobert M. Kotin
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Medicine (1 paper)Journal of Neuroscience (3 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Qinwen Mao
99 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Biological Psychiatry 127
- Neurology 376
- Cellular and Molecular Neuroscience 719
- Molecular Biology 2.5k
- Neurology 506
Countries citing papers authored by Qinwen Mao
This map shows the geographic impact of Qinwen Mao'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 Qinwen Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qinwen Mao more than expected).
Fields of papers citing papers by Qinwen Mao
This network shows the impact of papers produced by Qinwen Mao. 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 Qinwen Mao. The network helps show where Qinwen Mao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qinwen Mao, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 8 | |
| 8 | Role of neuroinflammation in neurodegeneration developmentbreakdown → | 2023 | 749 |
| 9 | 2021 | 42 | |
| 10 | 2021 | 27 | |
| 11 | 2019 | 6 | |
| 12 | 2015 | 22 | |
| 13 | 2015 | 22 | |
| 14 | 2012 | 10 | |
| 15 | 2012 | 1 | |
| 16 | 2011 | 9 | |
| 17 | RNA interference improves motor and neuropathological abnormalities in a Huntington's disease mouse modelbreakdown → | 2005 | 528 |
| 18 | 2005 | 36 | |
| 19 | 2003 | 26 | |
| 20 | siRNA-mediated gene silencing in vitro and in vivobreakdown → | 2002 | 696 |
About Qinwen Mao
Qinwen Mao is a scholar working on Neurology, Genetics and Neurology, having authored 102 papers that have together received 4.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (20 papers), RNA Interference and Gene Delivery (14 papers), Amyotrophic Lateral Sclerosis Research (12 papers), CRISPR and Genetic Engineering (12 papers), Alzheimer's disease research and treatments (12 papers), Glioma Diagnosis and Treatment (11 papers), CAR-T cell therapy research (9 papers) and Dementia and Cognitive Impairment Research (8 papers). The work is most often cited by research in Biological Psychiatry (127 citations), Neurology (376 citations) and Cellular and Molecular Neuroscience (719 citations). Qinwen Mao has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Haibin Xia, Beverly L. Davidson, Henry L. Paulson, Dan Xiao, Weifeng Zhang, Steven Eliason, Inês Martins, Robert M. Kotin, Linda Yang and Scott Q. Harper. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine 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.