M. Liu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
-
- RNA modifications and cancer 9
-
- Gyrotron and Vacuum Electronics Research 5
- Co-authors
- Fujuan Feng (3 shared papers)Li Y (13 shared papers)Jun Chen (11 shared papers)Hongbing Zhang (10 shared papers)Hongwei Liang (4 shared papers)Ke Zen (3 shared papers)Yan Xia (1 shared paper)Zihe Zhang (12 shared papers)
- Journals
- International Journal of Biological Macromolecules (3 papers)Physical review. D (3 papers)Journal of Alloys and Compounds (3 papers)Soil Biology and Biochemistry (2 papers)Molecular Cancer (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
M. Liu
89 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 156
- Cancer Research 483
- Molecular Biology 647
- Soil Science 88
- Plant Science 201
- Nutrition and Dietetics 73
Countries citing papers authored by M. Liu
This map shows the geographic impact of M. 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 M. Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Liu more than expected).
Fields of papers citing papers by M. Liu
This network shows the impact of papers produced by M. 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 M. Liu. The network helps show where M. Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside M. 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 145 | |
| 2 | 2017 | 114 | |
| 3 | 2022 | 88 | |
| 4 | 2014 | 77 | |
| 5 | 2022 | 77 | |
| 6 | 2020 | 75 | |
| 7 | 2016 | 73 | |
| 8 | 2018 | 69 | |
| 9 | 2005 | 56 | |
| 10 | 2018 | 55 | |
| 11 | 2021 | 48 | |
| 12 | 2019 | 45 | |
| 13 | 2021 | 40 | |
| 14 | 2022 | 38 | |
| 15 | 2022 | 37 | |
| 16 | 2020 | 35 | |
| 17 | 2016 | 35 | |
| 18 | 2023 | 31 | |
| 19 | 2018 | 31 | |
| 20 | 2021 | 30 |
About M. Liu
M. Liu is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Nuclear and High Energy Physics and Cancer Research, having authored 98 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA modifications and cancer (9 papers), Particle physics theoretical and experimental studies (7 papers), Cancer-related molecular mechanisms research (6 papers), Gyrotron and Vacuum Electronics Research (5 papers), Soil Carbon and Nitrogen Dynamics (5 papers), Microwave Engineering and Waveguides (4 papers), Quantum Chromodynamics and Particle Interactions (4 papers) and Magnetic Properties of Alloys (4 papers). The work is most often cited by research in Cancer Research (483 citations), Molecular Biology (647 citations), Soil Science (88 citations), Plant Science (201 citations) and Nutrition and Dietetics (73 citations). M. Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Fujuan Feng, Li Y, Jun Chen, Hongbing Zhang, Hongwei Liang, Ke Zen, Yan Xia, Zihe Zhang, Chen‐Yu Zhang and Ka Wing Chan. Their work appears in journals such as International Journal of Biological Macromolecules, Physical review. D, Journal of Alloys and Compounds, Soil Biology and Biochemistry and Molecular Cancer.
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.