Jiuxin Qu

6.3k total citations · 1 hit paper
74 papers, 2.6k citations indexed

About

Jiuxin Qu is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Jiuxin Qu has authored 74 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Epidemiology, 26 papers in Infectious Diseases and 19 papers in Molecular Biology. Recurrent topics in Jiuxin Qu's work include Respiratory viral infections research (15 papers), Pneumonia and Respiratory Infections (14 papers) and Antibiotic Resistance in Bacteria (14 papers). Jiuxin Qu is often cited by papers focused on Respiratory viral infections research (15 papers), Pneumonia and Respiratory Infections (14 papers) and Antibiotic Resistance in Bacteria (14 papers). Jiuxin Qu collaborates with scholars based in China, United States and Hong Kong. Jiuxin Qu's co-authors include Bin Cao, Lei Liu, Yingxia Liu, Qing He, Hong Yu, Jizhou Gou, Xia Zhang, Yinan Su, Lin Xu and Zhibin Zhu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Jiuxin Qu

72 papers receiving 2.5k citations

Hit Papers

COVID-19: Abnormal liver ... 2020 2026 2022 2024 2020 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jiuxin Qu China 23 1.3k 865 646 413 314 74 2.6k
Christian Garzoni Switzerland 27 1.3k 1.0× 932 1.1× 545 0.8× 296 0.7× 70 0.2× 71 2.7k
Christian van Delden Switzerland 25 749 0.6× 1.0k 1.2× 828 1.3× 82 0.2× 239 0.8× 78 2.6k
Susanne Pfefferle Germany 24 2.4k 1.9× 392 0.5× 492 0.8× 404 1.0× 120 0.4× 63 3.2k
Ronald Dijkman Switzerland 31 3.6k 2.8× 969 1.1× 600 0.9× 340 0.8× 344 1.1× 73 4.9k
Yoshio Mori Japan 30 1.2k 1.0× 788 0.9× 816 1.3× 67 0.2× 182 0.6× 176 3.5k
Jonathan E. Schmitz United States 19 967 0.8× 280 0.3× 493 0.8× 82 0.2× 102 0.3× 60 1.9k
Shirin Kalimuddin Singapore 21 2.5k 2.0× 385 0.4× 648 1.0× 582 1.4× 122 0.4× 63 3.5k
Naganori Nao Japan 19 1.7k 1.3× 546 0.6× 296 0.5× 209 0.5× 82 0.3× 41 2.2k
Hee‐Chang Jang South Korea 27 1.5k 1.2× 851 1.0× 367 0.6× 93 0.2× 54 0.2× 119 2.6k
Hassan Zaraket Lebanon 31 1.2k 0.9× 1.5k 1.8× 482 0.7× 83 0.2× 57 0.2× 100 2.5k

Countries citing papers authored by Jiuxin Qu

Since Specialization
Citations

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

Fields of papers citing papers by Jiuxin Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiuxin Qu

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

All Works

20 of 20 papers shown
1.
Xu, Yongchang, et al.. (2025). Programming BioZ, a promiscuous enzyme in bacterial biotin synthesis. Science Bulletin. 70(18). 2943–2947. 4 indexed citations
2.
Zheng, Wenshu, Liqiang Li, Chi Wu, et al.. (2025). Enhanced diagnosis of multi-drug-resistant microbes using group association modeling and machine learning. Nature Communications. 16(1). 2933–2933. 2 indexed citations
3.
Ding, Feng, Wanfei Liu, Chi Wu, et al.. (2025). Whole-genome sequencing reveals transmission pattern and drug resistance of Mycobacterium tuberculosis intra- or inter-hosts. Frontiers in Cellular and Infection Microbiology. 14. 1488547–1488547. 1 indexed citations
5.
Qu, Jiuxin, Wanfei Liu, Shuyan Chen, et al.. (2024). Deep Amplicon Sequencing Reveals Culture-dependent Clonal Selection of Mycobacterium tuberculosis in Clinical Samples. Genomics Proteomics & Bioinformatics. 22(6). 3 indexed citations
6.
Li, Xiaoyong, Lingyun Chen, Shuyan Chen, et al.. (2024). A biomarker panel of secondary hypertension is simultaneously quantified by coupling of magnetic solid‐phase extraction and liquid chromatography–tandem mass spectrometry. Rapid Communications in Mass Spectrometry. 38(6). e9703–e9703. 1 indexed citations
7.
He, Qian, Qun Chen, Jiuxin Qu, et al.. (2024). Unraveling the influence of CRISPR/Cas13a reaction components on enhancing trans-cleavage activity for ultrasensitive on-chip RNA detection. Microchimica Acta. 191(8). 466–466. 6 indexed citations
8.
Cui, Tao, Yongchang Xu, Runshi Yang, et al.. (2024). A bacterial methyltransferase that initiates biotin synthesis, an attractive anti-ESKAPE druggable pathway. Science Advances. 10(51). eadp3954–eadp3954. 9 indexed citations
10.
Liu, Houming, et al.. (2023). Using Microfluidic Chip and Allele-Specific PCR to Rapidly Identify Drug Resistance-Associated Mutations of Mycobacterium tuberculosis. Infection and Drug Resistance. Volume 16. 4311–4323. 1 indexed citations
11.
Cheng, Yingying, Zhao Cai, Lin Zhong, et al.. (2023). Genomic insights into the phage-defense systems of Stenotrophomonas maltophilia clinical isolates. Microbiological Research. 278. 127528–127528. 3 indexed citations
12.
Cheng, Hang, Yuhong Sun, Qing Yang, et al.. (2022). A rapid bacterial pathogen and antimicrobial resistance diagnosis workflow using Oxford nanopore adaptive sequencing method. Briefings in Bioinformatics. 23(6). 32 indexed citations
13.
Liu, Ji‐Hong, Tian Zhou, Tao Dong, et al.. (2022). Acquisition of T6SS Effector TseL Contributes to the Emerging of Novel Epidemic Strains of Pseudomonas aeruginosa. Microbiology Spectrum. 11(1). e0330822–e0330822. 8 indexed citations
14.
Qu, Jiuxin, Zhao Cai, Xiangke Duan, et al.. (2022). Pseudomonas aeruginosa modulates alginate biosynthesis and type VI secretion system in two critically ill COVID-19 patients. Cell & Bioscience. 12(1). 14–14. 11 indexed citations
15.
Zhao, Jing, et al.. (2022). Mycobacterium paragordonae is an emerging pathogen in human pulmonary disease: clinical features, antimicrobial susceptibility testing and outcomes. Emerging Microbes & Infections. 11(1). 1973–1981. 7 indexed citations
16.
Wang, Jing, Xi Liu, Kai‐Wei Yu, et al.. (2021). Psl-Dependent Cooperation Contributes to Drug Resistance of Pseudomonas aeruginosa in Dual-Species Biofilms with Acinetobacter baumannii. ACS Infectious Diseases. 8(1). 129–136. 6 indexed citations
17.
Cai, Qingxian, Deliang Huang, Hong Yu, et al.. (2020). COVID-19: Abnormal liver function tests. Journal of Hepatology. 73(3). 566–574. 708 indexed citations breakdown →
18.
Lucas, James E., Kyle E. Watters, Christof Fellmann, et al.. (2019). Controlling CRISPR-Cas9 with ligand-activated and ligand-deactivated sgRNAs. Nature Communications. 10(1). 2127–2127. 147 indexed citations
19.
Lee, Nelson, Yee‐Sin Leo, Bin Cao, et al.. (2015). Neuraminidase inhibitors, superinfection and corticosteroids affect survival of influenza patients. European Respiratory Journal. 45(6). 1642–1652. 74 indexed citations
20.
Sun, Bing, Hangyong He, Zheng Wang, et al.. (2014). Emergent severe acute respiratory distress syndrome caused by adenovirus type 55 in immunocompetent adults in 2013: a prospective observational study. Critical Care. 18(4). 456–456. 64 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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