Kai Qu

4.9k total citations · 1 hit paper
121 papers, 3.2k citations indexed

About

Kai Qu is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Kai Qu has authored 121 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 25 papers in Surgery and 25 papers in Oncology. Recurrent topics in Kai Qu's work include Liver Disease Diagnosis and Treatment (13 papers), Cancer-related molecular mechanisms research (11 papers) and Nanoplatforms for cancer theranostics (10 papers). Kai Qu is often cited by papers focused on Liver Disease Diagnosis and Treatment (13 papers), Cancer-related molecular mechanisms research (11 papers) and Nanoplatforms for cancer theranostics (10 papers). Kai Qu collaborates with scholars based in China, United States and Thailand. Kai Qu's co-authors include Jingyao Zhang, Ruixia Cui, Yingmu Tong, Yifan Jia, Runchen Miao, Yang Feng, Chang Liu, Yong Wan, Xiaohong Xiang and Xinsen Xu and has published in prestigious journals such as Journal of Clinical Oncology, Advanced Functional Materials and Analytical Chemistry.

In The Last Decade

Kai Qu

115 papers receiving 3.2k citations

Hit Papers

align trajectories sort by overperformance

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.

Liquid Bandage Harvests Robust Adhesive, Hemostatic, and Antibacterial Performances as a First‐Aid Tissue Adhesive

2020 213 citations Kai Qu et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kai Qu	1.7k	776	471	367	364	121	3.2k
Bing Li	2.2k 1.3×	1.0k 1.3×	804 1.7×	356 1.0×	285 0.8×	198	4.4k
Yingchao Wang	2.3k 1.4×	1.4k 1.8×	487 1.0×	375 1.0×	299 0.8×	148	3.7k
Taotao Liu	1.8k 1.1×	773 1.0×	184 0.4×	220 0.6×	341 0.9×	86	2.9k
Gang Zhao	1.5k 0.9×	631 0.8×	514 1.1×	227 0.6×	422 1.2×	155	3.4k
Guoxiong Xu	1.8k 1.0×	905 1.2×	326 0.7×	391 1.1×	434 1.2×	145	3.5k
Min Zhang	1.5k 0.9×	579 0.7×	476 1.0×	323 0.9×	386 1.1×	209	4.1k
Younan Chen	2.3k 1.3×	501 0.6×	814 1.7×	504 1.4×	745 2.0×	132	4.8k
Xingxing He	2.1k 1.2×	1.4k 1.8×	564 1.2×	266 0.7×	729 2.0×	80	3.9k
Bei Xu	1.4k 0.8×	537 0.7×	276 0.6×	597 1.6×	225 0.6×	164	3.6k

Countries citing papers authored by Kai Qu

Since Specialization

Citations

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

Fields of papers citing papers by Kai Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Qu

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

All Works

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20 of 20 papers shown

Li, Youjia, et al.. (2025). Case report: A case of type 1 diabetes with diabetic ketoacidosis induced by envafolimab treatment in hepatocellular carcinoma. Frontiers in Immunology. 16. 1505195–1505195.

Chen, Qiao, Li Zhu, Yuan Zhong, et al.. (2025). Biomimetic Cerium‐Assisted Supra‐Carbon Dots Assembly for Reactive Oxygen Species‐Activated Atherosclerosis Theranostic. Small. 21(8). e2408980–e2408980. 3 indexed citations

Ren, Jie, et al.. (2025). Pancreatic cancer risk after acute and chronic pancreatitis: Evidence from Mendelian randomization and meta-analysis. Medicine. 104(41). e44983–e44983.

Qu, Kai, Yuan Zhong, Li Zhu, et al.. (2024). A Macrophage Membrane‐Functionalized, Reactive Oxygen Species‐Activatable Nanoprodrug to Alleviate Inflammation and Improve the Lipid Metabolism for Atherosclerosis Management. Advanced Healthcare Materials. 13(26). e2401113–e2401113. 10 indexed citations

Wu, Baosheng, Wenjie Xu, Ye Li, et al.. (2024). Single-cell analysis of the amphioxus hepatic caecum and vertebrate liver reveals genetic mechanisms of vertebrate liver evolution. Nature Ecology & Evolution. 8(10). 1972–1990. 9 indexed citations

Wang, Xiang, Kai Qu, Xian Qin, et al.. (2024). Preparation of Pueraria lobata Root-Derived Exosome-Like Nanovesicles and Evaluation of Their Effects on Mitigating Alcoholic Intoxication and Promoting Alcohol Metabolism in Mice. International Journal of Nanomedicine. Volume 19. 4907–4921. 28 indexed citations

Qu, Kai, Qiao Chen, Zhigui He, et al.. (2024). Macrophage Membrane Spontaneously Encapsulated Cyclodextrin-Based Nanomedicines for Improving Lipid Metabolism and Inflammation in Atherosclerosis. ACS Applied Materials & Interfaces. 16(37). 49660–49672. 3 indexed citations

Qin, Xian, Li Zhu, Yuan Zhong, et al.. (2023). Spontaneously Right‐Side‐Out‐Orientated Coupling‐Driven ROS‐Sensitive Nanoparticles on Cell Membrane Inner Leaflet for Efficient Renovation in Vascular Endothelial Injury. Advanced Science. 10(6). e2205093–e2205093. 27 indexed citations

Liu, Jie, Zhigui He, Yuan Zhong, et al.. (2023). Reactive Oxygen Species-Responsive Sequentially Targeted AIE Fluorescent Probe for Precisely Identifying the Atherosclerotic Plaques. ACS Applied Materials & Interfaces. 15(40). 47381–47393. 15 indexed citations

10.

Chen, Qiao, Li Zhu, Yuan Zhong, et al.. (2023). Target Functionalized Carbon Dot Nanozymes with Dual‐Model Photoacoustic and Fluorescence Imaging for Visual Therapy in Atherosclerosis. Advanced Science. 11(6). e2307441–e2307441. 36 indexed citations

11.

Liu, Dan, Kai Qu, Ying Chen, et al.. (2023). Complete sequence and comparative analysis of the mitochondrial genome of the rare and endangered Clematis acerifolia, the first clematis mitogenome to provide new insights into the phylogenetic evolutionary status of the genus. Frontiers in Genetics. 13. 1050040–1050040. 15 indexed citations

12.

Zhu, Li, Hongjiao Li, Jiyu Li, et al.. (2023). Biomimetic nanoparticles to enhance the reverse cholesterol transport for selectively inhibiting development into foam cell in atherosclerosis. Journal of Nanobiotechnology. 21(1). 307–307. 19 indexed citations

13.

Zhong, Yuan, Ali Maruf, Kai Qu, et al.. (2023). Nanogels with covalently bound and releasable trehalose for autophagy stimulation in atherosclerosis. Journal of Nanobiotechnology. 21(1). 472–472. 1 indexed citations

14.

Ma, Yanfen, et al.. (2022). Analysis of the Heterogeneity of the Tumor Microenvironment and the Prognosis and Immunotherapy Response of Different Immune Subtypes in Hepatocellular Carcinoma. Journal of Oncology. 2022. 1–21.

15.

Zhang, Kun, Li Zhu, Yuan Zhong, et al.. (2022). Prodrug Integrated Envelope on Probiotics to Enhance Target Therapy for Ulcerative Colitis. Advanced Science. 10(4). e2205422–e2205422. 63 indexed citations

16.

Liu, Chang, Hong Liu, Moumita Dasgupta, et al.. (2022). Validation and promise of a TCR mimic antibody for cancer immunotherapy of hepatocellular carcinoma. Scientific Reports. 12(1). 12068–12068. 12 indexed citations

17.

Lan, Xi, Nan Wu, Litao Wu, et al.. (2020). The Human Novel Gene LNC-HC Inhibits Hepatocellular Carcinoma Cell Proliferation by Sequestering hsa-miR-183-5p. Molecular Therapy — Nucleic Acids. 20. 468–479. 22 indexed citations

18.

Guo, Xin, Mingming Gao, Yunan Wang, et al.. (2017). LDL Receptor Gene-ablated Hamsters: A Rodent Model of Familial Hypercholesterolemia With Dominant Inheritance and Diet-induced Coronary Atherosclerosis. EBioMedicine. 27. 214–224. 54 indexed citations

19.

Qu, Kai, Xinglan He, Hai Zhang, et al.. (2016). H₂S inhibits apo(a) expression and secretion through PKCα/FXR and Akt/HNF4α pathways in HepG2 cells. Cell Biology International. 40(8). 906–916. 3 indexed citations

20.

Xiao, Qianyi, Kai Qu, Chenji Wang, et al.. (2012). HDGF-related protein-3 is required for anchorage-independent survival and chemoresistance in hepatocellular carcinomas. Gut. 62(3). 440–451. 34 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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