Wang Liao
Impact in
- Periodontics top 2%
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- RNA modifications and cancer 5
- Physiology 18
- Alzheimer's disease research and treatments 16
- Co-authors
- Wenli Fang (18 shared papers)Shengnuo Fan (13 shared papers)Jun Liu (16 shared papers)Yuqiu Zheng (13 shared papers)Songhua Xiao (14 shared papers)Wei Xiang (13 shared papers)Yan Ding (12 shared papers)Ping Luan (6 shared papers)
- Journals
- Biomedicine & Pharmacotherapy (5 papers)Scientific Reports (3 papers)PLoS ONE (3 papers)CNS Neuroscience & Therapeutics (2 papers)Developmental Cell (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Wang Liao
81 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 150
- Periodontics 108
- Neurology 181
- Cancer Research 244
- Molecular Medicine 77
- Physiology 384
Countries citing papers authored by Wang Liao
This map shows the geographic impact of Wang Liao'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 Wang Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Liao more than expected).
Fields of papers citing papers by Wang Liao
This network shows the impact of papers produced by Wang Liao. 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 Wang Liao. The network helps show where Wang Liao may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang Liao, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 180 | |
| 2 | 2016 | 142 | |
| 3 | 2020 | 88 | |
| 4 | 2018 | 75 | |
| 5 | 2016 | 67 | |
| 6 | 2022 | 59 | |
| 7 | 2015 | 57 | |
| 8 | 2022 | 55 | |
| 9 | 2019 | 54 | |
| 10 | 2015 | 53 | |
| 11 | 2020 | 52 | |
| 12 | 2018 | 50 | |
| 13 | 2021 | 43 | |
| 14 | 2023 | 41 | |
| 15 | 2017 | 41 | |
| 16 | 2017 | 38 | |
| 17 | 2015 | 34 | |
| 18 | 2019 | 33 | |
| 19 | 2018 | 33 | |
| 20 | 2018 | 32 |
About Wang Liao
Wang Liao is a scholar working on Molecular Biology, Physiology, Cancer Research, Neurology and Biomedical Engineering, having authored 91 papers that have together received 2.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (16 papers), MicroRNA in disease regulation (9 papers), Dementia and Cognitive Impairment Research (6 papers), RNA modifications and cancer (5 papers), Neurological Disease Mechanisms and Treatments (5 papers), Systemic Lupus Erythematosus Research (5 papers), Bone Tissue Engineering Materials (4 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Periodontics (108 citations), Neurology (181 citations), Cancer Research (244 citations), Molecular Medicine (77 citations) and Physiology (384 citations). Wang Liao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wenli Fang, Shengnuo Fan, Jun Liu, Yuqiu Zheng, Songhua Xiao, Wei Xiang, Yan Ding, Ping Luan, Enxiang Tao and Xiaojie He. Their work appears in journals such as Biomedicine & Pharmacotherapy, Scientific Reports, PLoS ONE, CNS Neuroscience & Therapeutics and Developmental Cell.
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.