Da Liu
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Advanced biosensing and bioanalysis techniques
- CRISPR and Genetic Engineering
- Circular RNAs in diseases
- Epigenetics and DNA Methylation
- Sphingolipid Metabolism and Signaling
Papers in
-
- Natural product bioactivities and synthesis 4
- Advanced biosensing and bioanalysis techniques 4
- RNA Interference and Gene Delivery 2
-
- Sesquiterpenes and Asteraceae Studies 2
- Co-authors
- Xi Chen (1 shared paper)Mingxuan Xie (1 shared paper)Ke Shi (1 shared paper)Chengyu Li (3 shared papers)Xiaoming Sun (3 shared papers)Hong‐Wu Tang (2 shared papers)Xia Kang (2 shared papers)Yanfei Qi (2 shared papers)
- Journals
- Analytical Chemistry (2 papers)Bioscience Reports (1 paper)ACS Sensors (1 paper)Biosensors and Bioelectronics (1 paper)RSC Advances (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Da Liu
20 papers receiving 373 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 80
- Molecular Biology 245
- Aging 5
- Business and International Management 4
- Immunology 32
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 50 | |
| 2 | 2022 | 46 | |
| 3 | 2015 | 45 | |
| 4 | 2013 | 43 | |
| 5 | 2015 | 37 | |
| 6 | 2021 | 22 | |
| 7 | 2022 | 20 | |
| 8 | 2022 | 19 | |
| 9 | 2022 | 15 | |
| 10 | 2023 | 13 | |
| 11 | 2020 | 11 | |
| 12 | 2024 | 11 | |
| 13 | 2019 | 10 | |
| 14 | 2019 | 8 | |
| 15 | 2024 | 8 | |
| 16 | 2023 | 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, Plant Science, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 24 papers that have together received 374 indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Phytochemistry and Biological Activities (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Sesquiterpenes and Asteraceae Studies (2 papers), Lymphatic System and Diseases (2 papers), RNA Interference and Gene Delivery (2 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Cancer Research (80 citations), Molecular Biology (245 citations), Aging (5 citations), Business and International Management (4 citations) and Immunology (32 citations). Da Liu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xi Chen, Mingxuan Xie, Ke Shi, Chengyu Li, Xiaoming Sun, Hong‐Wu Tang, Xia Kang, Yanfei Qi, Hao‐Dong Li and Liling Zhang. Their work appears in journals such as Analytical Chemistry, Bioscience Reports, ACS Sensors, Biosensors and Bioelectronics 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.