Chao Liu
- Molecular Biology top 10%
- Extracellular vesicles in disease 13
- Advanced biosensing and bioanalysis techniques 11
- Biomedical Engineering top 10%
- Microfluidic and Bio-sensing Technologies 9
- Nanoplatforms for cancer theranostics 6
- Microfluidic and Capillary Electrophoresis Applications 6
- Nanopore and Nanochannel Transport Studies 5
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- Electrochemical sensors and biosensors 5
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- Conducting polymers and applications 5
- Co-authors
- Bi‐Feng LiuYing LiXiaojun FengJennifer CroweRichard L. DuboisXiaochun YuSatoshi NakajimaXiangyu Liu
- Journals
- Nature Communications (1 paper)SHILAP Revista de lepidopterología (3 papers)ACS Nano (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chao Liu
98 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 146
- Molecular Biology 755
- Cancer Research 154
- Biomedical Engineering 378
- Complementary and alternative medicine 53
- Molecular Medicine 32
Countries citing papers authored by Chao Liu
This map shows the geographic impact of Chao 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 Chao Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Liu more than expected).
Fields of papers citing papers by Chao Liu
This network shows the impact of papers produced by Chao 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 Chao Liu. The network helps show where Chao Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chao 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 | 1 | |
| 2 | 2025 | 6 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 1 | |
| 11 | 2021 | 24 | |
| 12 | 2020 | 9 | |
| 13 | 2020 | 13 | |
| 14 | 2019 | 11 | |
| 15 | 2019 | 12 | |
| 16 | Optimization of the preparation of antioxidant peptides by enzymatic hydrolysis of okra seed meal protein. | 2018 | 1 |
| 17 | 2015 | 154 | |
| 18 | Estimation of Life-cycle Emission Reduction Benefits for Wind Power Project Based on Interval-number Theory | 2011 | 5 |
| 19 | Research on CO_2 supercritical fluid extraction of essential oil from Allium cepa L. var. agrogatum Don | 2009 | 1 |
| 20 | 2008 | 37 |
About Chao Liu
Chao Liu is a scholar working on Energy Engineering and Power Technology, Molecular Biology and Biomedical Engineering, having authored 108 papers that have together received 1.7k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (13 papers), Advanced biosensing and bioanalysis techniques (11 papers), Microfluidic and Bio-sensing Technologies (9 papers), Nanoplatforms for cancer theranostics (6 papers), Microfluidic and Capillary Electrophoresis Applications (6 papers), Nanopore and Nanochannel Transport Studies (5 papers), Electrochemical sensors and biosensors (5 papers) and Conducting polymers and applications (5 papers). The work is most often cited by research in Molecular Biology (755 citations), Cancer Research (154 citations) and Biomedical Engineering (378 citations). Chao Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Bi‐Feng Liu, Ying Li, Xiaojun Feng, Jennifer Crowe, Richard L. Dubois, Xiaochun Yu, Satoshi Nakajima, Xiangyu Liu, Chen Li and Dongjuan Chen. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and ACS Nano.
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.