Donghui Liang
- Neurology top 10%
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- Cancer, Lipids, and Metabolism 2
- Cancer, Hypoxia, and Metabolism 1
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- Extracellular vesicles in disease 2
- Inflammasome and immune disorders 2
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- Autophagy in Disease and Therapy 2
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- Diabetes, Cardiovascular Risks, and Lipoproteins 2
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- Extraction and Separation Processes 2
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- Lipid metabolism and disorders 1
- Co-authors
- He HeQing ZengRui ZhuXiaoli LiuGuozhi HuangMeimei ZhangYuqing ZhouHaining Liu
- Journals
- Minerals Engineering (1 paper)Experimental Neurology (1 paper)Nutrition & Metabolism (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Donghui Liang
9 papers receiving 479 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Neurology 108
- Cancer Research 140
- Developmental Neuroscience 19
- Molecular Biology 298
- Genetics 31
Countries citing papers authored by Donghui Liang
This map shows the geographic impact of Donghui 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 Donghui Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donghui Liang more than expected).
Fields of papers citing papers by Donghui Liang
This network shows the impact of papers produced by Donghui 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 Donghui Liang. The network helps show where Donghui Liang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Donghui 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 11 | |
| 4 | 2021 | 120 | |
| 5 | Bone marrow mesenchymal stem cell-derived exosomes attenuate cerebral ischemia-reperfusion injury-induced neuroinflammation and pyroptosis by modulating microglia M1/M2 phenotypesbreakdown → | 2021 | 249 |
| 6 | 2020 | 73 | |
| 7 | 2020 | 7 | |
| 8 | 2019 | 1 | |
| 9 | 2016 | 17 | |
| 10 | [The particularity of female coronary heart disease and the thinking way of its diagnosis and treatment by integrative medicine]. | 2014 | 1 |
| 11 | [Effects of high-density lipoprotein 1 on the formation of foam cells from human monocyte-derived macrophages]. | 2009 | 2 |
About Donghui Liang
Donghui Liang is a scholar working on Cancer Research, Clinical Biochemistry and Neurology, having authored 11 papers that have together received 484 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (2 papers), Extracellular vesicles in disease (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Extraction and Separation Processes (2 papers), Cancer, Lipids, and Metabolism (2 papers), Inflammasome and immune disorders (2 papers), Lipid metabolism and disorders (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Neurology (108 citations), Cancer Research (140 citations) and Developmental Neuroscience (19 citations). Donghui Liang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include He He, Qing Zeng, Rui Zhu, Xiaoli Liu, Guozhi Huang, Meimei Zhang, Yuqing Zhou, Haining Liu, Chen Li and Yilei Zhang. Their work appears in journals such as Minerals Engineering, Experimental Neurology, Nutrition & Metabolism, Cellular & Molecular Biology Letters and Frontiers in Medicine.
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.