Tianyu Qu

455 total citations · 1 hit paper
16 papers, 305 citations indexed

About

Tianyu Qu is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tianyu Qu has authored 16 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tianyu Qu's work include RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (6 papers) and RNA Research and Splicing (4 papers). Tianyu Qu is often cited by papers focused on RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (6 papers) and RNA Research and Splicing (4 papers). Tianyu Qu collaborates with scholars based in China and United Kingdom. Tianyu Qu's co-authors include Renhua Guo, Erbao Zhang, Dandan Yin, Xiyi Lu, Xuezhi He, Chen Zhang, Yanan Cui, Liang Han, Qingqing Zhu and Chongguo Zhang and has published in prestigious journals such as Nature Communications, Cancer Research and Oncogene.

In The Last Decade

Tianyu Qu

16 papers receiving 305 citations

Hit Papers

NNMT promotes acquired EGFR-TKI resistance by forming EGR... 2025 2026 2025 5 10 15

Peers

Tianyu Qu
Comparison fields: 5 of 60
  • Molecular Biology 221
  • Cancer Research 117
  • Oncology 57
  • Pulmonary and Respiratory Medicine 49
  • Immunology 23
Replace Feng Ye with:
Feng Ye China
Federica Fazzini Austria
Yongwei Xiao China
Xiang Zheng China
Haitao Lan China
Yeun-po Chiang China
Zhaochuan Yang China
Tricia T Nguyen United States
Yunfei Duan China
Feng Ye China View profile →
Citations per field, relative to Tianyu Qu
Tianyu Qu · 1×
Citations per year, relative to Tianyu Qu
Tianyu Qu · 1×

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
# Work Indexed 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 cancer breakdown →
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

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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