Haiying Chu
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Histone Deacetylase Inhibitors Research 3
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- Nerve injury and regeneration 3
- Co-authors
- Haiying Ma (11 shared papers)Chenghong Zhang (9 shared papers)Li Kong (5 shared papers)Tao Chen (2 shared papers)Xiang Ren (3 shared papers)Chunyang Wang (4 shared papers)Xianyi Meng (3 shared papers)Yu Guo (3 shared papers)
In The Last Decade
Haiying Chu
18 papers receiving 434 citations
Peers
Comparison fields: 5 of 72
- Biological Psychiatry 29
- Developmental Neuroscience 39
- Neurology 51
- Cellular and Molecular Neuroscience 81
- Cell Biology 66
Countries citing papers authored by Haiying Chu
This map shows the geographic impact of Haiying Chu'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 Haiying Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiying Chu more than expected).
Fields of papers citing papers by Haiying Chu
This network shows the impact of papers produced by Haiying Chu. 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 Haiying Chu. The network helps show where Haiying Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Haiying Chu, 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 | 2017 | 61 | |
| 2 | 2018 | 46 | |
| 3 | 2020 | 41 | |
| 4 | 2006 | 35 | |
| 5 | 2006 | 34 | |
| 6 | 2017 | 33 | |
| 7 | 2005 | 33 | |
| 8 | 2020 | 29 | |
| 9 | 2021 | 27 | |
| 10 | 2022 | 18 | |
| 11 | 2019 | 16 | |
| 12 | 2014 | 16 | |
| 13 | 2023 | 15 | |
| 14 | 2011 | 10 | |
| 15 | 2007 | 9 | |
| 16 | 2007 | 8 | |
| 17 | 2022 | 5 | |
| 18 | Protective and treatment effects of ginkgo biloba extract on ethanol-induced injury of skeletal muscles in rat | 2010 | 1 |
About Haiying Chu
Haiying Chu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Cell Biology and Physiology, having authored 18 papers that have together received 437 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Neurological Disease Mechanisms and Treatments (3 papers), Nerve injury and regeneration (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Ginkgo biloba and Cashew Applications (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Biological Psychiatry (29 citations), Developmental Neuroscience (39 citations), Neurology (51 citations), Cellular and Molecular Neuroscience (81 citations) and Cell Biology (66 citations). Haiying Chu has collaborated with scholars based in China and Singapore. Frequent co-authors include Haiying Ma, Chenghong Zhang, Li Kong, Tao Chen, Xiang Ren, Chunyang Wang, Xianyi Meng, Yu Guo, Huimin Zhou and Yichuan Hu. Their work appears in journals such as Toxicology in Vitro, Biochemical and Biophysical Research Communications, BioMed Research International, Oxidative Medicine and Cellular Longevity and Frontiers in Physiology.
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.