Min Liu
Impact in
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 1%
- Circular RNAs in diseases
- Advanced biosensing and bioanalysis techniques
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
-
- Advanced biosensing and bioanalysis techniques 22
- Ubiquitin and proteasome pathways 19
- Circular RNAs in diseases 17
- DNA Repair Mechanisms 15
- Epigenetics and DNA Methylation 15
- Cell Biology 56
- Microtubule and mitosis dynamics 39
- Co-authors
- Hua Tang (15 shared papers)Jun Zhou (52 shared papers)Dengwen Li (60 shared papers)Songbo Xie (38 shared papers)Xin Li (6 shared papers)Jun Zhou (31 shared papers)Xin Li (2 shared papers)Ritu Aneja (6 shared papers)
- Journals
- PLoS ONE (8 papers)Journal of Biological Chemistry (8 papers)Journal of Cellular Physiology (8 papers)Oncotarget (7 papers)Scientific Reports (6 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Min Liu
299 papers receiving 7.2k citations
Peers
Comparison fields: 5 of 151
- Cancer Research 1.5k
- Molecular Biology 3.9k
- Cell Biology 716
- Oncology 850
- Plant Science 1.0k
Countries citing papers authored by Min Liu
This map shows the geographic impact of Min 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 Min Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Liu more than expected).
Fields of papers citing papers by Min Liu
This network shows the impact of papers produced by Min 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 Min Liu. The network helps show where Min Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Min 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 315 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 176 | |
| 2 | 2014 | 169 | |
| 3 | 2018 | 169 | |
| 4 | 2022 | 130 | |
| 5 | 2013 | 124 | |
| 6 | 2014 | 120 | |
| 7 | 2020 | 115 | |
| 8 | 2013 | 107 | |
| 9 | 2006 | 102 | |
| 10 | 2020 | 100 | |
| 11 | 2011 | 99 | |
| 12 | 2013 | 97 | |
| 13 | 2012 | 94 | |
| 14 | 2014 | 85 | |
| 15 | 2023 | 83 | |
| 16 | 2017 | 81 | |
| 17 | 2019 | 81 | |
| 18 | 2010 | 81 | |
| 19 | 2020 | 78 | |
| 20 | 2012 | 77 |
About Min Liu
Min Liu is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Plant Science and Oncology, having authored 315 papers that have together received 7.3k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (39 papers), MicroRNA in disease regulation (25 papers), Advanced biosensing and bioanalysis techniques (22 papers), Ubiquitin and proteasome pathways (19 papers), Circular RNAs in diseases (17 papers), DNA Repair Mechanisms (15 papers), Epigenetics and DNA Methylation (15 papers) and Cancer-related molecular mechanisms research (14 papers). The work is most often cited by research in Cancer Research (1.5k citations), Molecular Biology (3.9k citations), Cell Biology (716 citations), Oncology (850 citations) and Plant Science (1.0k citations). Min Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hua Tang, Jun Zhou, Dengwen Li, Songbo Xie, Xin Li, Jun Zhou, Xin Li, Ritu Aneja, Tao Liu and Dan Dong. Their work appears in journals such as PLoS ONE, Journal of Biological Chemistry, Journal of Cellular Physiology, Oncotarget and Scientific Reports.
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.