Yingxia Liang
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Physiology 19
- Alzheimer's disease research and treatments 10
- Pain Mechanisms and Treatments 8
- Co-authors
- Can Zhang (14 shared papers)Rudolph E. Tanzi (12 shared papers)Zhao Shu-jin (3 shared papers)Xulun Zhang (3 shared papers)Kai Liu (3 shared papers)Sangram S. Sisodia (3 shared papers)Yao Sun (3 shared papers)Hongjie Zhang (3 shared papers)
- Journals
- The Journal of Experimental Medicine (3 papers)Frontiers in Cellular Neuroscience (2 papers)Journal of Alzheimer s Disease (2 papers)Biological and Pharmaceutical Bulletin (2 papers)Alzheimer s & Dementia (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yingxia Liang
22 papers receiving 405 citations
Peers
Comparison fields: 5 of 78
- Biological Psychiatry 53
- Neurology 79
- Physiology 163
- Pharmacology 66
- Developmental Neuroscience 15
Countries citing papers authored by Yingxia Liang
This map shows the geographic impact of Yingxia 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 Yingxia Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingxia Liang more than expected).
Fields of papers citing papers by Yingxia Liang
This network shows the impact of papers produced by Yingxia 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 Yingxia Liang. The network helps show where Yingxia Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingxia 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 77 | |
| 2 | 2019 | 42 | |
| 3 | 2020 | 29 | |
| 4 | 2019 | 27 | |
| 5 | 2008 | 27 | |
| 6 | 2020 | 26 | |
| 7 | 2020 | 22 | |
| 8 | 2020 | 21 | |
| 9 | 2019 | 19 | |
| 10 | 2022 | 18 | |
| 11 | 2021 | 15 | |
| 12 | 2019 | 13 | |
| 13 | 2009 | 11 | |
| 14 | 2024 | 10 | |
| 15 | 2012 | 10 | |
| 16 | 2015 | 9 | |
| 17 | 2019 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2020 | 7 | |
| 20 | 2023 | 4 |
About Yingxia Liang
Yingxia Liang is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Neurology and Genetics, having authored 23 papers that have together received 406 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (10 papers), Pain Mechanisms and Treatments (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Healthcare and Venom Research (3 papers), Neuropeptides and Animal Physiology (3 papers), Venomous Animal Envenomation and Studies (3 papers), Connective tissue disorders research (2 papers) and Anesthesia and Neurotoxicity Research (2 papers). The work is most often cited by research in Biological Psychiatry (53 citations), Neurology (79 citations), Physiology (163 citations), Pharmacology (66 citations) and Developmental Neuroscience (15 citations). Yingxia Liang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Can Zhang, Rudolph E. Tanzi, Zhao Shu-jin, Xulun Zhang, Kai Liu, Sangram S. Sisodia, Yao Sun, Hongjie Zhang, Se Hoon Choi and Rui Zhang. Their work appears in journals such as The Journal of Experimental Medicine, Frontiers in Cellular Neuroscience, Journal of Alzheimer s Disease, Biological and Pharmaceutical Bulletin and Alzheimer s & Dementia.
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.