Tie Liu

796 citations
22 papers · 660 indexed · h-index 14

Tie Liu

22 papers receiving 653 citations

Peers

Tie Liu
Comparison fields: 5 of 85
  • Health, Toxicology and Mutagenesis 140
  • Cancer Research 135
  • Immunology 173
  • Pollution 57
  • Endocrinology 25
Replace Matthew D. Sylvester with:
Matthew D. Sylvester United States
Giovanna Del Pozzo Italy
Christopher R. Singh United States
Abdelmajid Belouchi Canada
Terry W. Fenger United States
Yuan Dong China
Catherine Vendeville France
Adam J. Poe United States
Yujuan Jin China
Tie Liu relative to Matthew D. Sylvester United States Matthew D. Sylvester's profile →
Citations per field
00.5×4.4×
Matthew D. Sylvester · 1×
Citations per year

Countries citing papers authored by Tie Liu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Tie Liu Line = papers co-authored together Tie Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20195
2 20173
3
MiR-5100 targets TOB2 to drive epithelial-mesenchymal transition associated with activating smad2/3 in lung epithelial cells.
20179
4 201761
5 201728
6 20161
7 201548
8 201522
9
FBXO31 promotes cell proliferation, metastasis and invasion in lung cancer.
201528
10
AMPK is required for PM2.5-induced autophagy in human lung epithelial A549 cells.
201545
11 201423
12 201429
13 201412
14 200930
15 200914
16 200724
17 20049
18 2002127
19 200037
20 20002

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.

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