Chang Liu
- Cancer Research top 2%
- MicroRNA in disease regulation 19
- Cancer-related molecular mechanisms research 12
- Immunology top 5%
- Immune cells in cancer 18
- Developmental Neuroscience top 5%
- Molecular Biology top 5%
- Extracellular vesicles in disease 21
- Circular RNAs in diseases 16
- Aquatic Science top 2%
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- Mesenchymal stem cell research 16
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- Sepsis Diagnosis and Treatment 14
- Liver Disease Diagnosis and Treatment 10
- Co-authors
- Kun XiaoLixin XieDan LiangJingyao ZhangTzyy Haur ChongEmile CornelissenBing WuNianbin Wang
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Clinical Investigation (3 papers)Nature Communications (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Chang Liu
266 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Cancer Research 847
- Immunology 895
- Developmental Neuroscience 114
- Molecular Biology 1.9k
- Aquatic Science 184
Countries citing papers authored by Chang Liu
This map shows the geographic impact of Chang 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 Chang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang Liu more than expected).
Fields of papers citing papers by Chang Liu
This network shows the impact of papers produced by Chang 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 Chang Liu. The network helps show where Chang Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chang 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 | 7 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | The protein circPETH-147aa regulates metabolic reprogramming in hepatocellular carcinoma cells to remodel immunosuppressive microenvironmentbreakdown → | 2025 | 24 |
| 5 | 2025 | 1 | |
| 6 | 2025 | 6 | |
| 7 | 2025 | 2 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 5 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 14 | |
| 17 | 2022 | 26 | |
| 18 | 2022 | 1 | |
| 19 | 2020 | 135 | |
| 20 | 2019 | 27 |
About Chang Liu
Chang Liu is a scholar working on Genetics, Critical Care and Intensive Care Medicine and Immunology, having authored 291 papers that have together received 4.8k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (21 papers), MicroRNA in disease regulation (19 papers), Immune cells in cancer (18 papers), Mesenchymal stem cell research (16 papers), Circular RNAs in diseases (16 papers), Sepsis Diagnosis and Treatment (14 papers), Cancer-related molecular mechanisms research (12 papers) and Liver Disease Diagnosis and Treatment (10 papers). The work is most often cited by research in Cancer Research (847 citations), Immunology (895 citations) and Developmental Neuroscience (114 citations). Chang Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Kun Xiao, Lixin Xie, Dan Liang, Jingyao Zhang, Tzyy Haur Chong, Emile Cornelissen, Bing Wu, Nianbin Wang, Weidong Liu and Huan Deng. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.
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.