Mo Liu
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Genomics, phytochemicals, and oxidative stress
- Circular RNAs in diseases
- Cancer-related gene regulation
Papers in ⓘ
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- MicroRNA in disease regulation 8
- Cancer-related molecular mechanisms research 6
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- Data Management and Algorithms 11
- Time Series Analysis and Forecasting 5
- Co-authors
- Mien‐Chie Hung (9 shared papers)Chun‐Te Chen (5 shared papers)Weiya Xia (7 shared papers)Chia‐Wei Li (2 shared papers)Sumaiyah K. Rehman (2 shared papers)Yan Xiong (2 shared papers)Heng‐Huan Lee (2 shared papers)Wen-Hsuan Yu (2 shared papers)
- Journals
- Stem Cell Research (5 papers)Nature Cell Biology (3 papers)Cell Death and Disease (2 papers)Molecular Cell (2 papers)Journal of Visualized Experiments (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Mo Liu
80 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Cancer Research 701
- Molecular Biology 1.5k
- Oncology 520
- Signal Processing 126
- Obstetrics and Gynecology 66
Countries citing papers authored by Mo Liu
This map shows the geographic impact of Mo 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 Mo Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mo Liu more than expected).
Fields of papers citing papers by Mo Liu
This network shows the impact of papers produced by Mo 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 Mo Liu. The network helps show where Mo Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mo 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | p53 regulates epithelial–mesenchymal transition and stem cell properties through modulating miRNAs Hit paper breakdown → | 2011 | 606 |
| 2 | 2009 | 333 | |
| 3 | 2011 | 195 | |
| 4 | 2011 | 76 | |
| 5 | 2016 | 74 | |
| 6 | 2009 | 69 | |
| 7 | 2019 | 60 | |
| 8 | 2018 | 60 | |
| 9 | 2013 | 51 | |
| 10 | 2005 | 43 | |
| 11 | 2011 | 37 | |
| 12 | 2005 | 35 | |
| 13 | 2011 | 35 | |
| 14 | 2021 | 30 | |
| 15 | 2007 | 29 | |
| 16 | 2012 | 28 | |
| 17 | 2022 | 27 | |
| 18 | 2011 | 27 | |
| 19 | 2011 | 25 | |
| 20 | 2014 | 23 |
About Mo Liu
Mo Liu is a scholar working on Cancer Research, Signal Processing, Developmental Neuroscience, Hepatology and Oncology, having authored 86 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (12 papers), Data Management and Algorithms (11 papers), MicroRNA in disease regulation (8 papers), Synthesis and biological activity (7 papers), CRISPR and Genetic Engineering (6 papers), Cancer-related molecular mechanisms research (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers) and Time Series Analysis and Forecasting (5 papers). The work is most often cited by research in Cancer Research (701 citations), Molecular Biology (1.5k citations), Oncology (520 citations), Signal Processing (126 citations) and Obstetrics and Gynecology (66 citations). Mo Liu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Mien‐Chie Hung, Chun‐Te Chen, Weiya Xia, Chia‐Wei Li, Sumaiyah K. Rehman, Yan Xiong, Heng‐Huan Lee, Wen-Hsuan Yu, Chi-Hong Chao and Dihua Yu. Their work appears in journals such as Stem Cell Research, Nature Cell Biology, Cell Death and Disease, Molecular Cell and Journal of Visualized Experiments.
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.