Tie Liu
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- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 4
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- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 5
- T-cell and B-cell Immunology 5
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- Virus-based gene therapy research 2
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- Cancer Research and Treatments 2
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- Vector-borne infectious diseases 2
- Co-authors
- Gang LiuLawei YangYahong WangZiying LinYasunobu YoshikaiTetsuya MatsuguchiHuijuan HeDavid W. Kamp
- Journals
- Microbial Pathogenesis (2 papers)Scientific Reports (2 papers)Molecular Carcinogenesis (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Tie Liu
22 papers receiving 653 citations
Peers
Comparison fields: 5 of 85
- Health, Toxicology and Mutagenesis 140
- Cancer Research 135
- Immunology 173
- Pollution 57
- Endocrinology 25
Countries citing papers authored by Tie Liu
This map shows the geographic impact of Tie 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 Tie Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tie Liu more than expected).
Fields of papers citing papers by Tie Liu
This network shows the impact of papers produced by Tie 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 Tie Liu. The network helps show where Tie Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tie 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 5 | |
| 2 | 2017 | 3 | |
| 3 | MiR-5100 targets TOB2 to drive epithelial-mesenchymal transition associated with activating smad2/3 in lung epithelial cells. | 2017 | 9 |
| 4 | 2017 | 61 | |
| 5 | 2017 | 28 | |
| 6 | 2016 | 1 | |
| 7 | 2015 | 48 | |
| 8 | 2015 | 22 | |
| 9 | FBXO31 promotes cell proliferation, metastasis and invasion in lung cancer. | 2015 | 28 |
| 10 | AMPK is required for PM2.5-induced autophagy in human lung epithelial A549 cells. | 2015 | 45 |
| 11 | 2014 | 23 | |
| 12 | 2014 | 29 | |
| 13 | 2014 | 12 | |
| 14 | 2009 | 30 | |
| 15 | 2009 | 14 | |
| 16 | 2007 | 24 | |
| 17 | 2004 | 9 | |
| 18 | 2002 | 127 | |
| 19 | 2000 | 37 | |
| 20 | 2000 | 2 |
About Tie Liu
Tie Liu is a scholar working on Parasitology, Cancer Research and Immunology, having authored 22 papers that have together received 660 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (5 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), Virus-based gene therapy research (2 papers), Cancer Research and Treatments (2 papers) and Vector-borne infectious diseases (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (140 citations), Cancer Research (135 citations) and Immunology (173 citations). Tie Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Gang Liu, Lawei Yang, Yahong Wang, Ziying Lin, Yasunobu Yoshikai, Tetsuya Matsuguchi, Huijuan He, David W. Kamp, Naotake Tsuboi and Toshiki Yajima. Their work appears in journals such as Microbial Pathogenesis, Scientific Reports, Molecular Carcinogenesis, Infection and Immunity and Molecular Immunology.
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.