Sheng Yi
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
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- Nerve injury and regeneration
Papers in
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- Signaling Pathways in Disease 13
- RNA Research and Splicing 11
- Circular RNAs in diseases 11
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- Nerve injury and regeneration 48
- Co-authors
- Xiaosong Gu (20 shared papers)Maria Dufau (10 shared papers)Chon‐Hwa Tsai‐Morris (10 shared papers)Shiying Li (12 shared papers)Lai Xu (2 shared papers)Xinghui Wang (7 shared papers)Jun Yu (6 shared papers)Qianqian Chen (10 shared papers)
- Journals
- Molecular Neurobiology (5 papers)Journal of Biological Chemistry (4 papers)Molecular and Cellular Biochemistry (4 papers)Biology of Reproduction (3 papers)Journal of Neuroinflammation (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Sheng Yi
91 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 119
- Developmental Neuroscience 304
- Cellular and Molecular Neuroscience 912
- Reproductive Medicine 375
- Cancer Research 454
- Rehabilitation 156
Countries citing papers authored by Sheng Yi
This map shows the geographic impact of Sheng Yi'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 Sheng Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng Yi more than expected).
Fields of papers citing papers by Sheng Yi
This network shows the impact of papers produced by Sheng Yi. 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 Sheng Yi. The network helps show where Sheng Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Sheng Yi, 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 177 | |
| 2 | 2018 | 145 | |
| 3 | 2017 | 139 | |
| 4 | 2004 | 137 | |
| 5 | 2016 | 94 | |
| 6 | 2015 | 81 | |
| 7 | 2015 | 76 | |
| 8 | 2006 | 70 | |
| 9 | 2016 | 69 | |
| 10 | 2020 | 67 | |
| 11 | 2016 | 67 | |
| 12 | 2013 | 55 | |
| 13 | 2016 | 55 | |
| 14 | 2017 | 53 | |
| 15 | 2011 | 52 | |
| 16 | 2019 | 49 | |
| 17 | 2014 | 45 | |
| 18 | 2017 | 45 | |
| 19 | 2019 | 44 | |
| 20 | 2018 | 41 |
About Sheng Yi
Sheng Yi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Cancer Research and Public Health, Environmental and Occupational Health, having authored 95 papers that have together received 2.6k indexed citations. Recurring topics across this work include Nerve injury and regeneration (48 papers), Neurogenesis and neuroplasticity mechanisms (19 papers), Signaling Pathways in Disease (13 papers), Reproductive Biology and Fertility (12 papers), RNA Research and Splicing (11 papers), Circular RNAs in diseases (11 papers), Sperm and Testicular Function (11 papers) and Wound Healing and Treatments (10 papers). The work is most often cited by research in Developmental Neuroscience (304 citations), Cellular and Molecular Neuroscience (912 citations), Reproductive Medicine (375 citations), Cancer Research (454 citations) and Rehabilitation (156 citations). Sheng Yi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaosong Gu, Maria Dufau, Chon‐Hwa Tsai‐Morris, Shiying Li, Lai Xu, Xinghui Wang, Jun Yu, Qianqian Chen, Qianyan Liu and Bin Yu. Their work appears in journals such as Molecular Neurobiology, Journal of Biological Chemistry, Molecular and Cellular Biochemistry, Biology of Reproduction and Journal of Neuroinflammation.
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.