Hao Qian
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
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- Neuroscience and Neuropharmacology Research
Papers in
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- RNA modifications and cancer 6
- Pluripotent Stem Cells Research 4
- RNA Research and Splicing 3
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- Neuroscience and Neuropharmacology Research 8
- Neuroscience and Neural Engineering 5
- Co-authors
- Xiang‐Dong Fu (7 shared papers)Jinhui Wang (8 shared papers)Yuanchao Xue (3 shared papers)Ying Zhu (7 shared papers)Yu Zhou (3 shared papers)Jianguo Wu (6 shared papers)Jing Hu (4 shared papers)Liang Chen (2 shared papers)
- Journals
- Molecular Brain (3 papers)Journal of Biological Chemistry (3 papers)PLoS ONE (3 papers)Veterinary Microbiology (2 papers)Molecular Cell (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Hao Qian
59 papers receiving 2.3k citations
Hao Qian's Hit Papers
Peers
Comparison fields: 5 of 109
- Developmental Neuroscience 176
- Cellular and Molecular Neuroscience 413
- Molecular Biology 1.4k
- Neurology 145
- Cancer Research 228
Countries citing papers authored by Hao Qian
This map shows the geographic impact of Hao Qian'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 Hao Qian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Qian more than expected).
Fields of papers citing papers by Hao Qian
This network shows the impact of papers produced by Hao Qian. 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 Hao Qian. The network helps show where Hao Qian may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Qian, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Reversing a model of Parkinson’s disease with in situ converted nigral neurons Hit paper breakdown → | 2020 | 344 |
| 2 | 2017 | 261 | |
| 3 | 2018 | 195 | |
| 4 | 2016 | 128 | |
| 5 | 2017 | 118 | |
| 6 | 2008 | 87 | |
| 7 | 2016 | 86 | |
| 8 | 1996 | 82 | |
| 9 | 2011 | 71 | |
| 10 | 2012 | 60 | |
| 11 | 2014 | 59 | |
| 12 | 2009 | 54 | |
| 13 | 2018 | 49 | |
| 14 | 2018 | 49 | |
| 15 | 2021 | 43 | |
| 16 | 2012 | 43 | |
| 17 | 2015 | 42 | |
| 18 | 2011 | 42 | |
| 19 | 2008 | 39 | |
| 20 | 2007 | 39 |
About Hao Qian
Hao Qian is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Epidemiology, Cognitive Neuroscience and Oncology, having authored 64 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Neural dynamics and brain function (7 papers), RNA modifications and cancer (6 papers), Neuroscience and Neural Engineering (5 papers), Pluripotent Stem Cells Research (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Hepatitis B Virus Studies (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Developmental Neuroscience (176 citations), Cellular and Molecular Neuroscience (413 citations), Molecular Biology (1.4k citations), Neurology (145 citations) and Cancer Research (228 citations). Hao Qian has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiang‐Dong Fu, Jinhui Wang, Yuanchao Xue, Ying Zhu, Yu Zhou, Jianguo Wu, Jing Hu, Liang Chen, Hairi Li and Changwei Shao. Their work appears in journals such as Molecular Brain, Journal of Biological Chemistry, PLoS ONE, Veterinary Microbiology and Molecular 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.