Te Liu
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Geriatrics and Gerontology top 1%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- Epigenetics and DNA Methylation 8
- Pluripotent Stem Cells Research 8
- Circular RNAs in diseases 7
- RNA Research and Splicing 5
-
- Cancer-related molecular mechanisms research 16
- MicroRNA in disease regulation 14
- Co-authors
- Yongyi Huang (25 shared papers)Chuan Chen (12 shared papers)Jiulin Chen (13 shared papers)Huiying Chi (5 shared papers)Yun‐Cheng Wu (9 shared papers)Wenxing Qin (4 shared papers)Ya Feng (8 shared papers)Zhihua Yu (8 shared papers)
- Journals
- Gene (4 papers)Evidence-based Complementary and Alternative Medicine (4 papers)Molecular Immunology (3 papers)Journal of Cellular and Molecular Medicine (3 papers)Journal of Cancer (3 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Te Liu
89 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 116
- Cancer Research 908
- Geriatrics and Gerontology 179
- Reproductive Medicine 186
- Molecular Biology 1.3k
- Aging 30
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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 161 | |
| 2 | 2014 | 150 | |
| 3 | 2017 | 127 | |
| 4 | 2013 | 118 | |
| 5 | 2015 | 108 | |
| 6 | 2014 | 104 | |
| 7 | 2012 | 89 | |
| 8 | 2014 | 89 | |
| 9 | 2016 | 80 | |
| 10 | 2015 | 78 | |
| 11 | 2014 | 70 | |
| 12 | 2019 | 66 | |
| 13 | 2014 | 65 | |
| 14 | 2016 | 65 | |
| 15 | 2016 | 63 | |
| 16 | 2017 | 63 | |
| 17 | 2016 | 59 | |
| 18 | 2020 | 51 | |
| 19 | 2019 | 51 | |
| 20 | 2020 | 49 |
About Te Liu
Te Liu is a scholar working on Molecular Biology, Cancer Research, Public Health, Environmental and Occupational Health, Immunology and Epidemiology, having authored 91 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (16 papers), MicroRNA in disease regulation (14 papers), Reproductive Biology and Fertility (12 papers), Epigenetics and DNA Methylation (8 papers), Pluripotent Stem Cells Research (8 papers), Circular RNAs in diseases (7 papers), RNA Research and Splicing (5 papers) and Ferroptosis and cancer prognosis (5 papers). The work is most often cited by research in Cancer Research (908 citations), Geriatrics and Gerontology (179 citations), Reproductive Medicine (186 citations), Molecular Biology (1.3k citations) and Aging (30 citations). Te Liu has collaborated with scholars based in China, United States and France. Frequent co-authors include Yongyi Huang, Chuan Chen, Jiulin Chen, Huiying Chi, Yun‐Cheng Wu, Wenxing Qin, Ya Feng, Zhihua Yu, Lihe Guo and Ying Xiong. Their work appears in journals such as Gene, Evidence-based Complementary and Alternative Medicine, Molecular Immunology, Journal of Cellular and Molecular Medicine and Journal of 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.