Jingjing Quan

1.8k total citations
66 papers, 1.4k citations indexed

About

Jingjing Quan is a scholar working on Molecular Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Jingjing Quan has authored 66 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Medicine, 24 papers in Molecular Biology and 14 papers in Oncology. Recurrent topics in Jingjing Quan's work include Antibiotic Resistance in Bacteria (30 papers), Pharmaceutical and Antibiotic Environmental Impacts (10 papers) and Bone Metabolism and Diseases (9 papers). Jingjing Quan is often cited by papers focused on Antibiotic Resistance in Bacteria (30 papers), Pharmaceutical and Antibiotic Environmental Impacts (10 papers) and Bone Metabolism and Diseases (9 papers). Jingjing Quan collaborates with scholars based in China, Australia and Türkiye. Jingjing Quan's co-authors include Yunsong Yu, Yan Jiang, Dongdong Zhao, Newell W. Johnson, Murat Akova, Zhihui Zhou, Junqi Ling, Yan Chen, Qiucheng Shi and Xi Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Carbohydrate Polymers.

In The Last Decade

Jingjing Quan

63 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingjing Quan China 20 634 380 249 225 162 66 1.4k
Liyan Ye China 21 386 0.6× 605 1.6× 234 0.9× 86 0.4× 72 0.4× 65 1.3k
Jeong Ho Jeon South Korea 20 566 0.9× 883 2.3× 230 0.9× 121 0.5× 41 0.3× 39 1.6k
Sonia Gómez Argentina 21 403 0.6× 248 0.7× 362 1.5× 125 0.6× 56 0.3× 59 1.1k
Katsuhiko Sato Japan 25 221 0.3× 770 2.0× 111 0.4× 69 0.3× 310 1.9× 91 2.3k
Paula Juliana Pérez‐Chaparro Brazil 18 200 0.3× 267 0.7× 99 0.4× 103 0.5× 32 0.2× 29 1.3k
Shaohua Liu China 21 212 0.3× 924 2.4× 61 0.2× 39 0.2× 73 0.5× 50 1.5k
Wenying Xia China 16 196 0.3× 192 0.5× 131 0.5× 47 0.2× 66 0.4× 46 693
Mark S. Wilke United States 15 258 0.4× 376 1.0× 56 0.2× 53 0.2× 141 0.9× 21 1.1k
Padma Krishnan India 13 165 0.3× 273 0.7× 83 0.3× 64 0.3× 53 0.3× 44 750
Yanqi Li China 19 199 0.3× 606 1.6× 108 0.4× 28 0.1× 82 0.5× 50 1.2k

Countries citing papers authored by Jingjing Quan

Since Specialization
Citations

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

Fields of papers citing papers by Jingjing Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingjing Quan

This figure shows the co-authorship network connecting the top 25 collaborators of Jingjing Quan. A scholar is included among the top collaborators of Jingjing Quan 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 Jingjing Quan. Jingjing Quan 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.
Chen, Lidian, Dan Li, Jingjing Quan, et al.. (2025). Sirtuin 2 exacerbates renal tubule injury and inflammation in diabetic mice via deacetylation of c-Jun/c-Fos. Cellular and Molecular Life Sciences. 82(1). 45–45. 4 indexed citations
2.
Liao, Wei‐Chao, Jingjing Quan, Lei Huang, et al.. (2025). Emergence of a clinical carbapenem-resistant Escherichia coli co-harboring blandm-5 and mcr-1.1 on the same plasmid. International Journal of Antimicrobial Agents. 66(1). 107495–107495. 2 indexed citations
3.
Shi, Qiucheng, Zhi Ruan, Ping Zhang, et al.. (2024). Epidemiology of carbapenem-resistant Klebsiella pneumoniae in China and the evolving trends of predominant clone ST11: a multicentre, genome-based study. Journal of Antimicrobial Chemotherapy. 79(9). 2292–2297. 10 indexed citations
4.
Quan, Jingjing, Huangdu Hu, Xinhong Han, et al.. (2024). High prevalence of carbapenem-resistant Enterobacter cloacae complex in a tertiary hospital over a decade. Microbiology Spectrum. 12(12). e0078024–e0078024. 6 indexed citations
5.
6.
Hu, Huangdu, Qiucheng Shi, Ping Zhang, et al.. (2023). Prevalence and molecular characteristics of colistin-resistant isolates among clinically isolated carbapenem-resistant Klebsiella pneumoniae in China. International Journal of Antimicrobial Agents. 62(2). 106873–106873. 17 indexed citations
7.
Han, Xinhong, Ying Chen, Qiucheng Shi, et al.. (2022). Epidemiological Characteristics of OXA-232-Producing Carbapenem-Resistant Klebsiella pneumoniae Strains Isolated during Nosocomial Clonal Spread Associated with Environmental Colonization. Microbiology Spectrum. 10(4). e0257221–e0257221. 19 indexed citations
8.
Gong, Qimei, et al.. (2022). The practicability of different preparation of mandibular molar restored by modified endocrown with intracanal extension: Computational analysis using finite element models. Computer Methods and Programs in Biomedicine. 226. 107178–107178. 7 indexed citations
9.
Shi, Qiucheng, Jingjing Quan, Peng Lan, et al.. (2020). Prevalence and characteristics of pks gene cluster harbouring Klebsiella pneumoniae from bloodstream infection in China. Epidemiology and Infection. 148. e69–e69. 11 indexed citations
10.
Zhao, Dongdong, et al.. (2018). mcr-1 Gene Has No Effect on Colistin Resistance When It Coexists with Inactivated mgrB Gene in Klebsiella pneumoniae. Microbial Drug Resistance. 24(8). 1117–1120. 12 indexed citations
11.
Lu, Jun, et al.. (2018). Prevalence and molecular characteristics of <em>mcr-1</em> gene in <em>Salmonella typhimurium</em> in a tertiary hospital of Zhejiang Province. Infection and Drug Resistance. Volume 12. 105–110. 18 indexed citations
12.
Jiang, Lu, et al.. (2018). Prevalence and molecular characteristics of mcr-1 gene in Salmonella typhimurium in a tertiary hospital of Zhejiang Province. SHILAP Revista de lepidopterología. 1 indexed citations
13.
14.
Li, Xi, et al.. (2018). Detection and characterization of a clinical <em>Escherichia coli</em> ST3204 strain coproducing NDM-16 and MCR-1. Infection and Drug Resistance. Volume 11. 1189–1195. 31 indexed citations
15.
16.
Quan, Jingjing, Xi Li, Yan Chen, et al.. (2017). Prevalence of mcr-1 in Escherichia coli and Klebsiella pneumoniae recovered from bloodstream infections in China: a multicentre longitudinal study. The Lancet Infectious Diseases. 17(4). 400–410. 173 indexed citations
17.
Guo, Min, et al.. (2016). Preparation and application of educational model for microscopic periapical surgery. 10(5). 360–363. 1 indexed citations
18.
19.
Hashimi, Saeed M., et al.. (2014). Differential Expression of Chemokines, Chemokine Receptors and Proteinases by Foreign Body Giant Cells (FBGCs) and Osteoclasts. Journal of Cellular Biochemistry. 115(7). 1290–1298. 37 indexed citations
20.
Quan, Jingjing, et al.. (2013). Transforming growth factor-β1 treatment of oral cancer induces epithelial-mesenchymal transition and promotes bone invasion via enhanced activity of osteoclasts. Clinical & Experimental Metastasis. 30(5). 659–670. 43 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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