Yingxia Liang
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Physiology 18
- Alzheimer's disease research and treatments 10
- Pain Mechanisms and Treatments 8
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- S100 Proteins and Annexins 2
- Co-authors
- Can Zhang (14 shared papers)Rudolph E. Tanzi (12 shared papers)Hongjie Zhang (3 shared papers)Sangram S. Sisodia (3 shared papers)Kai Liu (3 shared papers)Yao Sun (3 shared papers)Xulun Zhang (3 shared papers)Rui Zhang (2 shared papers)
- Journals
- The Journal of Experimental Medicine (3 papers)Journal of Alzheimer s Disease (2 papers)Biological and Pharmaceutical Bulletin (2 papers)Frontiers in Cellular Neuroscience (2 papers)Gene (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yingxia Liang
23 papers receiving 437 citations
Peers
Comparison fields: 5 of 81
- Biological Psychiatry 47
- Neurology 67
- Physiology 156
- Pharmacology 60
- Developmental Neuroscience 13
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 85 | |
| 2 | 2019 | 44 | |
| 3 | 2020 | 29 | |
| 4 | 2008 | 27 | |
| 5 | 2019 | 27 | |
| 6 | 2020 | 26 | |
| 7 | 2020 | 26 | |
| 8 | 2020 | 23 | |
| 9 | 2022 | 20 | |
| 10 | 2024 | 20 | |
| 11 | 2019 | 19 | |
| 12 | 2021 | 16 | |
| 13 | 2019 | 13 | |
| 14 | 2009 | 11 | |
| 15 | 2012 | 10 | |
| 16 | 2015 | 9 | |
| 17 | 2019 | 8 | |
| 18 | 2020 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2023 | 5 |
About Yingxia Liang
Yingxia Liang is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Neurology and Genetics, having authored 25 papers that have together received 438 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 (4 papers), Neuropeptides and Animal Physiology (3 papers), S100 Proteins and Annexins (2 papers), Connective tissue disorders research (2 papers), Healthcare and Venom Research (2 papers) and Venomous Animal Envenomation and Studies (2 papers). The work is most often cited by research in Biological Psychiatry (47 citations), Neurology (67 citations), Physiology (156 citations), Pharmacology (60 citations) and Developmental Neuroscience (13 citations). Yingxia Liang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Can Zhang, Rudolph E. Tanzi, Hongjie Zhang, Sangram S. Sisodia, Kai Liu, Yao Sun, Xulun Zhang, Rui Zhang, Se Hoon Choi and Hemraj B. Dodiya. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Alzheimer s Disease, Biological and Pharmaceutical Bulletin, Frontiers in Cellular Neuroscience and Gene.
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.