Yi Qu
Impact in
-
- Neonatal and fetal brain pathology
- Neonatal Health and Biochemistry
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disorders and Treatments
Papers in
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- Neonatal and fetal brain pathology 58
-
- Dementia and Cognitive Impairment Research 12
- Co-authors
- Dezhi Mu (147 shared papers)Fengyan Zhao (50 shared papers)Tingting Zhu (19 shared papers)Tao Xiong (27 shared papers)Jun Tang (29 shared papers)Lan Tan (9 shared papers)Ya‐Nan Ou (7 shared papers)Jichong Huang (12 shared papers)
- Journals
- Medicine (10 papers)PLoS ONE (10 papers)Reviews in the Neurosciences (9 papers)Scientific Reports (7 papers)Brain Research (7 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yi Qu
273 papers receiving 6.2k citations
Peers
Comparison fields: 5 of 151
- Pediatrics, Perinatology and Child Health 885
- Neurology 441
- Psychiatry and Mental health 780
- Developmental Neuroscience 89
- Cancer Research 311
Countries citing papers authored by Yi Qu
This map shows the geographic impact of Yi Qu'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 Yi Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Qu more than expected).
Fields of papers citing papers by Yi Qu
This network shows the impact of papers produced by Yi Qu. 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 Yi Qu. The network helps show where Yi Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Qu, 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 286 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 220 | |
| 2 | 2020 | 153 | |
| 3 | 2017 | 136 | |
| 4 | 2016 | 120 | |
| 5 | 2011 | 113 | |
| 6 | 2019 | 112 | |
| 7 | 2017 | 109 | |
| 8 | 2021 | 91 | |
| 9 | 2009 | 89 | |
| 10 | 2021 | 88 | |
| 11 | 2019 | 82 | |
| 12 | 2022 | 81 | |
| 13 | 2017 | 80 | |
| 14 | 2014 | 77 | |
| 15 | 2013 | 76 | |
| 16 | 2020 | 72 | |
| 17 | 2011 | 68 | |
| 18 | 2016 | 68 | |
| 19 | 2008 | 66 | |
| 20 | 2018 | 66 |
About Yi Qu
Yi Qu is a scholar working on Pediatrics, Perinatology and Child Health, Psychiatry and Mental health, Neurology, Cancer Research and Molecular Biology, having authored 286 papers that have together received 6.4k indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (58 papers), Dementia and Cognitive Impairment Research (12 papers), RNA modifications and cancer (11 papers), Parkinson's Disease Mechanisms and Treatments (8 papers), Infant Nutrition and Health (7 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Genetic Associations and Epidemiology (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (885 citations), Neurology (441 citations), Psychiatry and Mental health (780 citations), Developmental Neuroscience (89 citations) and Cancer Research (311 citations). Yi Qu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dezhi Mu, Fengyan Zhao, Tingting Zhu, Tao Xiong, Jun Tang, Lan Tan, Ya‐Nan Ou, Jichong Huang, Xiaojuan Su and Xue‐Ning Shen. Their work appears in journals such as Medicine, PLoS ONE, Reviews in the Neurosciences, Scientific Reports and Brain Research.
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.