Fan Liu
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 6
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 5
- Molecular Biology top 10%
- Circular RNAs in diseases 6
- Mitochondrial Function and Pathology 5
- Epigenetics and DNA Methylation 5
- Physiology top 10%
- Pain Mechanisms and Treatments 8
- Developmental Neuroscience top 10%
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- Anesthesia and Pain Management 4
- Journals
- Journal of Biological Chemistry (1 paper)SHILAP Revista de lepidopterología (5 papers)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Fan Liu
100 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 117
- Cancer Research 364
- Neurology 167
- Molecular Biology 884
- Physiology 281
- Developmental Neuroscience 44
Countries citing papers authored by Fan Liu
This map shows the geographic impact of Fan 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 Fan Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Liu more than expected).
Fields of papers citing papers by Fan Liu
This network shows the impact of papers produced by Fan 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 Fan Liu. The network helps show where Fan Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 7 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 3 | |
| 11 | miRNA-382-5p Suppresses the Expression of Farnesoid X Receptor to Promote Progression of Liver Cancer | 2021 | 1 |
| 12 | 2021 | 30 | |
| 13 | Long Noncoding RNA SNHG7, a Molecular Sponge for microRNA-485, Promotes the Aggressive Behavior of Cervical Cancer by Regulating PAK4 | 2020 | 2 |
| 14 | RGFP966 Suppresses Tumor Growth and Migration Through Inhibition of EGFR Expression in Hepatocellular Carcinoma Cells in vitro | 2020 | 1 |
| 15 | 2019 | 2 | |
| 16 | 2019 | 87 | |
| 17 | 2017 | 2 | |
| 18 | 2016 | 1 | |
| 19 | 2015 | 22 | |
| 20 | 2013 | 32 |
About Fan Liu
Fan Liu is a scholar working on Biological Psychiatry, Cancer Research and Physiology, having authored 113 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (8 papers), Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Mitochondrial Function and Pathology (5 papers), Epigenetics and DNA Methylation (5 papers) and Anesthesia and Pain Management (4 papers). The work is most often cited by research in Cancer Research (364 citations), Neurology (167 citations) and Molecular Biology (884 citations). Fan Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qin Hu, Anatol Manaenko, Jianfei Lu, Junjia Tang, Chao Ma, Yuguang Huang, Zhiyao Wang, Min Wei, Yue Qiu and Le Shen. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología 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.