Tianyu Qu

455 citations
16 papers · 305 indexed · 1 hit paper · h-index 9
Topics
RNA modifications and cancer (8 papers)Cancer-related molecular mechanisms research (6 papers)RNA Research and Splicing (4 papers)
Partner nations
ChinaUnited Kingdom

In The Last Decade

Tianyu Qu

16 papers receiving 305 citations

Hit Papers

NNMT promotes acquired EGFR-TKI resistance by forming EGR...20252026202551015

Peers

Tianyu Qu
Comparison fields: 5 of 60
  • Molecular Biology 221
  • Cancer Research 117
  • Oncology 57
  • Pulmonary and Respiratory Medicine 49
  • Immunology 23
Replace Federica Fazzini with:
Federica Fazzini Austria
Yunfei Duan China
Xiang Zheng China
Haitao Lan China
Yeun-po Chiang China
Jianqiu Pei China
Yueyong Li China
Tricia T Nguyen United States
Tianyu Qu relative to Federica Fazzini Austria Federica Fazzini's profile →
Citations per field
00.5×2.7×
Federica Fazzini · 1×
Citations per year

Countries citing papers authored by Tianyu Qu

Since Specialization
Citations

This map shows the geographic impact of Tianyu Qu'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 Tianyu Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianyu Qu more than expected).

Fields of papers citing papers by Tianyu Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tianyu Qu. 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 Tianyu Qu. The network helps show where Tianyu Qu may publish in the future.

Co-authorship network of co-authors of Tianyu Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Tianyu Qu. A scholar is included among the top collaborators of Tianyu Qu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tianyu Qu. Tianyu Qu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 2
2
NNMT promotes acquired EGFR-TKI resistance by forming EGR1 and lactate-mediated double positive feedback loops in non-small cell lung cancerbreakdown →
17
3 4
4 3
5 3
6 65
7 2
8 65
9 37
10 16
11 9
12 21
13 4
14
Down-regulated MAC30 expression inhibits breast cancer cell invasion and EMT by suppressing Wnt/β-catenin and PI3K/Akt signaling pathways.
24
15 32
16 1

About Tianyu Qu

Tianyu Qu is a scholar working on Cancer Research, Energy Engineering and Power Technology and Oncology, having authored 16 papers that have together received 305 indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (6 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Cancer Research (117 citations), Molecular Biology (221 citations) and Oncology (57 citations). Tianyu Qu has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Renhua Guo, Erbao Zhang, Dandan Yin, Xiyi Lu, Xuezhi He, Chen Zhang, Yanan Cui, Liang Han, Qingqing Zhu and Chongguo Zhang. Their work appears in journals such as Nature Communications, Cancer Research and Oncogene.

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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