Qingqiang Tu

827 total citations · 1 hit paper
10 papers, 668 citations indexed

About

Qingqiang Tu is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Qingqiang Tu has authored 10 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 2 papers in Oncology. Recurrent topics in Qingqiang Tu's work include Spinal Cord Injury Research (2 papers), Microplastics and Plastic Pollution (1 paper) and Catalytic C–H Functionalization Methods (1 paper). Qingqiang Tu is often cited by papers focused on Spinal Cord Injury Research (2 papers), Microplastics and Plastic Pollution (1 paper) and Catalytic C–H Functionalization Methods (1 paper). Qingqiang Tu collaborates with scholars based in China. Qingqiang Tu's co-authors include Linbin Yang, Yue Xing, Fei Chen, Yin Zhang, Qiang Liu, Xiaoqian Zhang, Jianing Chen, Jinghua Zhao, Fengxi Su and Shicheng Su and has published in prestigious journals such as PLoS ONE, Nature Cell Biology and Scientific Reports.

In The Last Decade

Qingqiang Tu

8 papers receiving 658 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Extracellular vesicle-packaged HIF-1α-stabilizing lncRNA from tumour-associated macrophages regulates aerobic glycolysis of breast cancer cells

2019 581 citations Fei Chen, Jianing Chen et al. Nature Cell Biology profile →

Peers

Qingqiang Tu

MB

CR

IMMUN

ONCOL

BE

Mayra Rachele Zarone Italy

Shan Pan China

Bosen You China

Julieta Afonso Portugal

Hengxing Chen China

Lihui Wang China

Yangjia Zhuo China

Flora D’Anna Germany

Chang‐Ying Guo China

Marjan Taherian Iran

Mayra Rachele Zarone Italy

Qingqiang Tu

488 ×1.0

MB

406 ×1.0

CR

43 ×0.3

IMMUN

77 ×1.0

ONCOL

25 ×0.4

BE

Citations per year, relative to Qingqiang Tu Qingqiang Tu (= 1×) peers Mayra Rachele Zarone

Countries citing papers authored by Qingqiang Tu

Since Specialization

Citations

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

Fields of papers citing papers by Qingqiang Tu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingqiang Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Qingqiang Tu. A scholar is included among the top collaborators of Qingqiang Tu 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 Qingqiang Tu. Qingqiang Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Wang, Junbiao, et al.. (2025). Survey of Blockchain‐Based Industrial Metaverse in SMMEs. Transactions on Emerging Telecommunications Technologies. 36(4).

2.

Zeng, Chenying, Qingqiang Tu, Wenhui Yu, et al.. (2025). Taraxasterol alleviates osteoporosis by targeting PI3K/AKT/PPARγ signaling axis to suppress necroptosis and reverse osteogenic-adipogenic differentiation imbalance in BMSCs. Phytomedicine. 149. 157277–157277.

3.

Tu, Qingqiang, et al.. (2025). Feasibility study of PET/CT for the detection and localization of nervous system damage caused by trimethyltin chloride. Scientific Reports. 15(1). 1353–1353. 2 indexed citations

4.

Xie, Dongmei, et al.. (2023). Modified black phosphorus quantum dots promotes spinal cord injury repair by targeting the AKT signaling pathway. Journal of Tissue Engineering. 14. 1778670337–1778670337. 16 indexed citations

5.

Li, Xinling, Zhijian Li, Xiaobin Zheng, et al.. (2022). Development of a Radiotracer for PET Imaging of the SNAP Tag. ACS Omega. 7(9). 7550–7555. 4 indexed citations

6.

Ma, Shiyu, et al.. (2020). Isoproterenol Increases Left Atrial Fibrosis and Susceptibility to Atrial Fibrillation by Inducing Atrial Ischemic Infarction in Rats. Frontiers in Pharmacology. 11. 493–493. 17 indexed citations

7.

Chen, Fei, Jianing Chen, Linbin Yang, et al.. (2019). Extracellular vesicle-packaged HIF-1α-stabilizing lncRNA from tumour-associated macrophages regulates aerobic glycolysis of breast cancer cells. Nature Cell Biology. 21(4). 498–510. 581 indexed citations breakdown →

8.

Ling, Zemin, Ying Tang, Yingqin Li, et al.. (2015). Evaluation of Avulsion-Induced Neuropathology in Rat Spinal Cords with 18F-FDG Micro-PET/CT. PLoS ONE. 10(5). e0127685–e0127685. 4 indexed citations

9.

Zhao, Jijun, et al.. (2014). CARD11 blockade suppresses murine collagen-induced arthritis via inhibiting CARD11/Bcl10 assembly and T helper type 17 response. Clinical & Experimental Immunology. 176(2). 238–245. 14 indexed citations

10.

Yang, Dingqiao, et al.. (2010). Iridium-Catalyzed Anti-Stereocontrolled Asymmetric Ring Opening of Azabicyclic Alkenes with Primary Aromatic Amines. Organometallics. 29(22). 5936–5940. 30 indexed citations

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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