Te Liu
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Circular RNAs in diseases
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Extracellular vesicles in disease
Papers in ⓘ
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- MicroRNA in disease regulation 30
- Cancer-related molecular mechanisms research 19
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- Circular RNAs in diseases 14
- RNA modifications and cancer 11
- Extracellular vesicles in disease 10
- Epigenetics and DNA Methylation 9
- Co-authors
- Weiwei Cheng (8 shared papers)Yongtao Gao (5 shared papers)Yongyi Huang (16 shared papers)Xiaoping Wan (2 shared papers)Lihe Guo (9 shared papers)Hui Wang (1 shared paper)Zixiang Geng (12 shared papers)Zhixue Liu (6 shared papers)
- Journals
- International Journal of Medical Sciences (5 papers)International Journal of Molecular Medicine (4 papers)Gene (4 papers)Oxidative Medicine and Cellular Longevity (3 papers)Tumor Biology (3 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Te Liu
99 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 128
- Cancer Research 902
- Molecular Biology 1.4k
- Reproductive Medicine 159
- Immunology 292
- Oncology 356
Countries citing papers authored by Te Liu
This map shows the geographic impact of Te 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 Te Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Te Liu more than expected).
Fields of papers citing papers by Te Liu
This network shows the impact of papers produced by Te 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 Te Liu. The network helps show where Te Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Te 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 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 201 | |
| 2 | 2011 | 102 | |
| 3 | 2010 | 101 | |
| 4 | 2010 | 94 | |
| 5 | 2012 | 86 | |
| 6 | 2021 | 52 | |
| 7 | 2021 | 51 | |
| 8 | 2012 | 44 | |
| 9 | 2022 | 43 | |
| 10 | 2017 | 41 | |
| 11 | 2021 | 41 | |
| 12 | 2016 | 40 | |
| 13 | 2014 | 38 | |
| 14 | 2024 | 38 | |
| 15 | 2012 | 38 | |
| 16 | 2015 | 37 | |
| 17 | 2023 | 35 | |
| 18 | 2019 | 34 | |
| 19 | 2017 | 33 | |
| 20 | 2011 | 32 |
About Te Liu
Te Liu is a scholar working on Cancer Research, Molecular Biology, Reproductive Medicine, Immunology and Oncology, having authored 107 papers that have together received 2.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (30 papers), Cancer-related molecular mechanisms research (19 papers), Circular RNAs in diseases (14 papers), RNA modifications and cancer (11 papers), Extracellular vesicles in disease (10 papers), Epigenetics and DNA Methylation (9 papers), Cancer Cells and Metastasis (9 papers) and Ferroptosis and cancer prognosis (8 papers). The work is most often cited by research in Cancer Research (902 citations), Molecular Biology (1.4k citations), Reproductive Medicine (159 citations), Immunology (292 citations) and Oncology (356 citations). Te Liu has collaborated with scholars based in China, United States and France. Frequent co-authors include Weiwei Cheng, Yongtao Gao, Yongyi Huang, Xiaoping Wan, Lihe Guo, Hui Wang, Zixiang Geng, Zhixue Liu, Dongmei Lai and Xiling Du. Their work appears in journals such as International Journal of Medical Sciences, International Journal of Molecular Medicine, Gene, Oxidative Medicine and Cellular Longevity and Tumor Biology.
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.