Hui Liu
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Physiology top 2%
- Pain Mechanisms and Treatments
Papers in
-
- RNA Research and Splicing 13
- RNA modifications and cancer 10
- Extracellular vesicles in disease 8
- RNA and protein synthesis mechanisms 7
- Physiology 34
- Pain Mechanisms and Treatments 14
- Co-authors
- Zhe Liu (7 shared papers)Maria S. Ioannou (3 shared papers)H. Amalia Pasolli (3 shared papers)Doreen Matthies (2 shared papers)Aubrey V. Weigel (1 shared paper)Shu‐Hsien Sheu (1 shared paper)Jesse Jackson (1 shared paper)Jennifer Lippincott‐Schwartz (1 shared paper)
- Journals
- Blood (3 papers)Journal of Material Science and Technology (3 papers)PLoS ONE (3 papers)Small (3 papers)Journal of Neuroscience (3 papers)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Hui Liu
201 papers receiving 5.3k citations
Hui Liu's Hit Papers
Peers
Comparison fields: 5 of 182
- Neurology 263
- Physiology 776
- Molecular Biology 2.0k
- Biochemistry 215
- Biological Psychiatry 67
Countries citing papers authored by Hui Liu
This map shows the geographic impact of Hui Liu'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 Hui Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Liu more than expected).
Fields of papers citing papers by Hui Liu
This network shows the impact of papers produced by Hui Liu. 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 Hui Liu. The network helps show where Hui Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui Liu, 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 213 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Neuron-Astrocyte Metabolic Coupling Protects against Activity-Induced Fatty Acid Toxicity Hit paper breakdown → | 2019 | 528 |
| 2 | 2004 | 256 | |
| 3 | 2018 | 216 | |
| 4 | 2016 | 177 | |
| 5 | 2005 | 146 | |
| 6 | 2003 | 124 | |
| 7 | 2020 | 112 | |
| 8 | 2013 | 109 | |
| 9 | 2021 | 89 | |
| 10 | 2018 | 87 | |
| 11 | 2010 | 83 | |
| 12 | 2011 | 82 | |
| 13 | 2019 | 82 | |
| 14 | 2016 | 82 | |
| 15 | 2017 | 80 | |
| 16 | 2016 | 79 | |
| 17 | 2020 | 73 | |
| 18 | 2021 | 66 | |
| 19 | 2018 | 57 | |
| 20 | 2017 | 54 |
About Hui Liu
Hui Liu is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Materials Chemistry and Biomedical Engineering, having authored 213 papers that have together received 5.4k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (14 papers), RNA Research and Splicing (13 papers), RNA modifications and cancer (10 papers), Extracellular vesicles in disease (8 papers), Lipid metabolism and biosynthesis (7 papers), Neuropeptides and Animal Physiology (7 papers), RNA and protein synthesis mechanisms (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). The work is most often cited by research in Neurology (263 citations), Physiology (776 citations), Molecular Biology (2.0k citations), Biochemistry (215 citations) and Biological Psychiatry (67 citations). Hui Liu has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Zhe Liu, Maria S. Ioannou, H. Amalia Pasolli, Doreen Matthies, Aubrey V. Weigel, Shu‐Hsien Sheu, Jesse Jackson, Jennifer Lippincott‐Schwartz, C. Shan Xu and Chi‐Lun Chang. Their work appears in journals such as Blood, Journal of Material Science and Technology, PLoS ONE, Small and Journal of Neuroscience.
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.