Yanran Liang
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
Papers in
-
- Heme Oxygenase-1 and Carbon Monoxide 2
- Neurology 11
- Parkinson's Disease Mechanisms and Treatments 11
- Neuroinflammation and Neurodegeneration Mechanisms 8
- Botulinum Toxin and Related Neurological Disorders 2
- Co-authors
- Enxiang Tao (23 shared papers)Xiuna Jing (19 shared papers)Wei Bi (9 shared papers)Danyu Lin (10 shared papers)Li Zhu (6 shared papers)Tianen Zhou (8 shared papers)Qiaoyun Shi (7 shared papers)Ying Chen (6 shared papers)
- Journals
- Frontiers in Aging Neuroscience (3 papers)Brain Research (3 papers)Biochemical and Biophysical Research Communications (2 papers)Experimental Cell Research (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yanran Liang
29 papers receiving 691 citations
Peers
Comparison fields: 5 of 88
- Neurology 184
- Neurology 167
- Biological Psychiatry 27
- Physiology 32
- Cellular and Molecular Neuroscience 105
Countries citing papers authored by Yanran Liang
This map shows the geographic impact of Yanran Liang'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 Yanran Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanran Liang more than expected).
Fields of papers citing papers by Yanran Liang
This network shows the impact of papers produced by Yanran Liang. 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 Yanran Liang. The network helps show where Yanran Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanran Liang, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 75 | |
| 2 | 2017 | 47 | |
| 3 | 2018 | 44 | |
| 4 | 2019 | 44 | |
| 5 | 2014 | 41 | |
| 6 | 2012 | 41 | |
| 7 | 2012 | 40 | |
| 8 | 2012 | 37 | |
| 9 | 2014 | 36 | |
| 10 | 2015 | 35 | |
| 11 | 2014 | 30 | |
| 12 | 2020 | 30 | |
| 13 | 2017 | 27 | |
| 14 | 2019 | 26 | |
| 15 | 2020 | 20 | |
| 16 | 2020 | 19 | |
| 17 | 2019 | 18 | |
| 18 | 2023 | 16 | |
| 19 | 2017 | 16 | |
| 20 | 2014 | 13 |
About Yanran Liang
Yanran Liang is a scholar working on Molecular Biology, Neurology, Epidemiology, Neurology and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 695 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Autophagy in Disease and Therapy (7 papers), Immune cells in cancer (3 papers), Adenosine and Purinergic Signaling (2 papers), Botulinum Toxin and Related Neurological Disorders (2 papers), Genetic Neurodegenerative Diseases (2 papers) and Heme Oxygenase-1 and Carbon Monoxide (2 papers). The work is most often cited by research in Neurology (184 citations), Neurology (167 citations), Biological Psychiatry (27 citations), Physiology (32 citations) and Cellular and Molecular Neuroscience (105 citations). Yanran Liang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Enxiang Tao, Xiuna Jing, Wei Bi, Danyu Lin, Li Zhu, Tianen Zhou, Qiaoyun Shi, Ying Chen, Lianhong Yang and Songhua Xiao. Their work appears in journals such as Frontiers in Aging Neuroscience, Brain Research, Biochemical and Biophysical Research Communications, Experimental Cell Research and PLoS ONE.
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.