Da Liu
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
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- Advanced biosensing and bioanalysis techniques
- Circular RNAs in diseases
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
Papers in
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- Advanced biosensing and bioanalysis techniques 4
- Natural product bioactivities and synthesis 4
- Epigenetics and DNA Methylation 2
- Sphingolipid Metabolism and Signaling 2
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- MicroRNA in disease regulation 2
- Co-authors
- Xi Chen (1 shared paper)Mingxuan Xie (1 shared paper)Ke Shi (1 shared paper)Xia Kang (2 shared papers)Xiaoming Sun (3 shared papers)Yanfei Qi (2 shared papers)Chengyu Li (3 shared papers)Hong‐Wu Tang (2 shared papers)
- Journals
- Analytical Chemistry (2 papers)Biological Procedures Online (1 paper)Scientific Reports (1 paper)Bioscience Reports (1 paper)RSC Advances (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Da Liu
20 papers receiving 350 citations
Peers
Comparison fields: 5 of 82
- Cancer Research 96
- Molecular Biology 253
- Aging 5
- Business and International Management 4
- Immunology 39
Countries citing papers authored by Da Liu
This map shows the geographic impact of Da 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 Da Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Liu more than expected).
Fields of papers citing papers by Da Liu
This network shows the impact of papers produced by Da 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 Da Liu. The network helps show where Da Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Da 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 44 | |
| 2 | 2021 | 44 | |
| 3 | 2013 | 43 | |
| 4 | 2022 | 43 | |
| 5 | 2015 | 37 | |
| 6 | 2021 | 21 | |
| 7 | 2022 | 18 | |
| 8 | 2022 | 18 | |
| 9 | 2022 | 15 | |
| 10 | 2023 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2019 | 10 | |
| 13 | 2024 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2019 | 7 | |
| 17 | 2024 | 4 | |
| 18 | 2020 | 3 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 1 |
About Da Liu
Da Liu is a scholar working on Molecular Biology, Cancer Research, Oncology, Plant Science and Biomedical Engineering, having authored 22 papers that have together received 351 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (4 papers), Natural product bioactivities and synthesis (4 papers), Phytochemistry and Biological Activities (3 papers), MicroRNA in disease regulation (2 papers), Lymphatic System and Diseases (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Epigenetics and DNA Methylation (2 papers) and Sphingolipid Metabolism and Signaling (2 papers). The work is most often cited by research in Cancer Research (96 citations), Molecular Biology (253 citations), Aging (5 citations), Business and International Management (4 citations) and Immunology (39 citations). Da Liu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xi Chen, Mingxuan Xie, Ke Shi, Xia Kang, Xiaoming Sun, Yanfei Qi, Chengyu Li, Hong‐Wu Tang, Xuegui Liu and Wen-Kai Fang. Their work appears in journals such as Analytical Chemistry, Biological Procedures Online, Scientific Reports, Bioscience Reports and RSC Advances.
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.