Beini Wang
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
Papers in ⓘ
-
- Fibroblast Growth Factor Research 4
- Kruppel-like factors research 2
-
- Nerve injury and regeneration 6
- Co-authors
- Jian Xiao (15 shared papers)Yanqing Wu (12 shared papers)Jun Xiong (7 shared papers)Jingyu Xu (6 shared papers)Chengbiao Wu (5 shared papers)Peipei Zheng (6 shared papers)Peifeng Li (3 shared papers)Libing Ye (4 shared papers)
- Journals
- Acta Pharmacologica Sinica (3 papers)Frontiers in Pharmacology (3 papers)iScience (1 paper)International Journal of Biological Macromolecules (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- ChinaSouth KoreaCanada
In The Last Decade
Beini Wang
22 papers receiving 379 citations
Peers
Comparison fields: 5 of 85
- Neurology 92
- Biological Psychiatry 16
- Developmental Neuroscience 21
- Cellular and Molecular Neuroscience 56
- Pathology and Forensic Medicine 52
Countries citing papers authored by Beini Wang
This map shows the geographic impact of Beini Wang'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 Beini Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beini Wang more than expected).
Fields of papers citing papers by Beini Wang
This network shows the impact of papers produced by Beini Wang. 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 Beini Wang. The network helps show where Beini Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Beini Wang, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 78 | |
| 2 | 2021 | 77 | |
| 3 | 2019 | 39 | |
| 4 | 2023 | 28 | |
| 5 | 2021 | 28 | |
| 6 | 2020 | 20 | |
| 7 | 2021 | 14 | |
| 8 | 2020 | 11 | |
| 9 | 2022 | 11 | |
| 10 | 2020 | 10 | |
| 11 | 2015 | 10 | |
| 12 | 2022 | 10 | |
| 13 | 2021 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2022 | 8 | |
| 16 | 2024 | 6 | |
| 17 | 2019 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 2 |
About Beini Wang
Beini Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine, Neurology and Epidemiology, having authored 24 papers that have together received 383 indexed citations. Recurring topics across this work include Nerve injury and regeneration (6 papers), Spinal Cord Injury Research (5 papers), Fibroblast Growth Factor Research (4 papers), Biochemical Analysis and Sensing Techniques (3 papers), Advanced Glycation End Products research (3 papers), Regulation of Appetite and Obesity (3 papers), Kruppel-like factors research (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Neurology (92 citations), Biological Psychiatry (16 citations), Developmental Neuroscience (21 citations), Cellular and Molecular Neuroscience (56 citations) and Pathology and Forensic Medicine (52 citations). Beini Wang has collaborated with scholars based in China, South Korea and Canada. Frequent co-authors include Jian Xiao, Yanqing Wu, Jun Xiong, Jingyu Xu, Chengbiao Wu, Peipei Zheng, Peifeng Li, Libing Ye, Hongyu Zhang and Yuan Yuan. Their work appears in journals such as Acta Pharmacologica Sinica, Frontiers in Pharmacology, iScience, International Journal of Biological Macromolecules and Cell Death and Disease.
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.