Haiyan Lou
- Molecular Biology top 10%
- Neurology top 2%
- Neurology top 2%
- Physiology top 5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Xinbing WeiPatrice DelafontaineJing XuXiumei ZhangRuth G. PerezHuanying ShiManru RenDong‐Mei Ren
- Topics
- Parkinson's Disease Mechanisms and Treatments (10 papers)Neuroinflammation and Neurodegeneration Mechanisms (9 papers)Genomics, phytochemicals, and oxidative stress (8 papers)
- Cited by
- NeurologyBiological Psychiatry
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Haiyan Lou
66 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 1.1k
- Neurology 533
- Neurology 485
- Physiology 442
- Cellular and Molecular Neuroscience 311
Countries citing papers authored by Haiyan Lou
This map shows the geographic impact of Haiyan Lou'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 Haiyan Lou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiyan Lou more than expected).
Fields of papers citing papers by Haiyan Lou
This network shows the impact of papers produced by Haiyan Lou. 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 Haiyan Lou. The network helps show where Haiyan Lou may publish in the future.
Co-authorship network of co-authors of Haiyan Lou
This figure shows the co-authorship network connecting the top 25 collaborators of Haiyan Lou. A scholar is included among the top collaborators of Haiyan Lou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haiyan Lou. Haiyan Lou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 8 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 13 | |
| 7 | 10 | |
| 8 | 97 | |
| 9 | 45 | |
| 10 | 4 | |
| 11 | 29 | |
| 12 | 99 | |
| 13 | 19 | |
| 14 | 174 | |
| 15 | 47 | |
| 16 | 26 | |
| 17 | 96 | |
| 18 | Metabonomic Characterization of The Low-grade Human Astrocytomas and Meningiomas Using Magic-angle Spinning 1H Nuclear Magnetic Resonance Spectroscopy and Principal Component Analysis | 11 |
| 19 | 14 | |
| 20 | MRI-pathologic correlation of pigmented villonodular synovitis | 2 |
About Haiyan Lou
Haiyan Lou is a scholar working on Neurology, Neurology and Biological Psychiatry, having authored 68 papers that have together received 2.6k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers) and Genomics, phytochemicals, and oxidative stress (8 papers). The work is most often cited by research in Neurology (485 citations), Biological Psychiatry (100 citations) and Neurology (533 citations). Haiyan Lou has collaborated with scholars based in China, United States and France. Frequent co-authors include Xinbing Wei, Patrice Delafontaine, Jing Xu, Xiumei Zhang, Ruth G. Perez, Huanying Shi, Manru Ren, Dong‐Mei Ren, Yue Qin and Fan Jiang. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The FASEB Journal.
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.