Xiaofei Jiang

3.2k total citations
54 papers, 2.1k citations indexed

About

Xiaofei Jiang is a scholar working on Molecular Medicine, Molecular Biology and Endocrinology. According to data from OpenAlex, Xiaofei Jiang has authored 54 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Medicine, 27 papers in Molecular Biology and 16 papers in Endocrinology. Recurrent topics in Xiaofei Jiang's work include Antibiotic Resistance in Bacteria (33 papers), Vibrio bacteria research studies (9 papers) and Genomics and Phylogenetic Studies (9 papers). Xiaofei Jiang is often cited by papers focused on Antibiotic Resistance in Bacteria (33 papers), Vibrio bacteria research studies (9 papers) and Genomics and Phylogenetic Studies (9 papers). Xiaofei Jiang collaborates with scholars based in China, United Kingdom and United States. Xiaofei Jiang's co-authors include Yuan Lu, Yuan Lu, Dongxing Tian, Ying Zhou, Min Li, Michaël Otto, Frank R. DeLeo, Kevin R. Braughton, Amer E. Villaruz and Binh An Diep and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Xiaofei Jiang

51 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaofei Jiang China 25 1.1k 892 460 446 367 54 2.1k
Susan D. Rudin United States 24 1.2k 1.1× 683 0.8× 362 0.8× 744 1.7× 423 1.2× 65 2.4k
Yanping Luo China 27 789 0.7× 805 0.9× 456 1.0× 416 0.9× 423 1.2× 111 2.8k
Toshinobu Horii Japan 24 856 0.8× 763 0.9× 370 0.8× 497 1.1× 469 1.3× 80 2.1k
Longyang Jin China 23 1.0k 0.9× 668 0.7× 300 0.7× 185 0.4× 297 0.8× 58 1.9k
Yangsoon Lee South Korea 23 482 0.4× 588 0.7× 400 0.9× 321 0.7× 349 1.0× 90 1.5k
Wenming Zhu United States 23 402 0.4× 1.0k 1.1× 211 0.5× 623 1.4× 197 0.5× 39 1.8k
Samuel Bellais France 25 1.0k 0.9× 773 0.9× 660 1.4× 266 0.6× 416 1.1× 33 2.0k
Pei‐Fang Hsieh Taiwan 25 1.2k 1.0× 798 0.9× 512 1.1× 259 0.6× 391 1.1× 45 2.0k
Fu Wang China 13 723 0.6× 270 0.3× 233 0.5× 167 0.4× 280 0.8× 31 1.3k

Countries citing papers authored by Xiaofei Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofei Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofei Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofei Jiang. A scholar is included among the top collaborators of Xiaofei Jiang 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 Xiaofei Jiang. Xiaofei Jiang 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
3.
Jiang, Xiaofei, Zhulin Wang, Jun Liu, et al.. (2024). Phospholipid biosynthesis regulation for improving pigment production by Monascus in response to ammonium chloride stress. Applied and Environmental Microbiology. 90(10). e0114624–e0114624. 1 indexed citations
4.
Yang, Yang, et al.. (2024). CRISPR-Cas3 and type I restriction-modification team up against blaKPC-IncF plasmid transfer in Klebsiella pneumoniae. BMC Microbiology. 24(1). 240–240. 7 indexed citations
7.
Zhou, Ying, Yang Yang, Xiaobin Li, et al.. (2023). Exploiting a conjugative endogenous CRISPR-Cas3 system to tackle multidrug-resistant Klebsiella pneumoniae. EBioMedicine. 88. 104445–104445. 27 indexed citations
8.
Hu, Dakang, Wenjie Chen, Dongxing Tian, et al.. (2023). Hypercapsule is the cornerstone of Klebsiella pneumoniae in inducing pyogenic liver abscess. Frontiers in Cellular and Infection Microbiology. 13. 1147855–1147855. 12 indexed citations
9.
Tian, Dongxing, Xiao Liu, Wenjie Chen, et al.. (2022). Prevalence of hypervirulent and carbapenem-resistant Klebsiella pneumoniae under divergent evolutionary patterns. Emerging Microbes & Infections. 11(1). 1936–1949. 89 indexed citations
10.
Hu, Dakang, Wenjie Chen, Qi Zhang, et al.. (2022). Prevalence of Carbapenem-Resistant Hypervirulent Klebsiella pneumoniae and Hypervirulent Carbapenem-Resistant Klebsiella pneumoniae in China Determined via Mouse Lethality Tests. Frontiers in Cellular and Infection Microbiology. 12. 882210–882210. 12 indexed citations
11.
Tian, Dongxing, Weiwen Wang, Meng Li, et al.. (2021). Acquisition of the Conjugative Virulence Plasmid From a CG23 Hypervirulent Klebsiella pneumoniae Strain Enhances Bacterial Virulence. Frontiers in Cellular and Infection Microbiology. 11. 752011–752011. 32 indexed citations
12.
Tang, Yu, Pan Fu, Ying Zhou, et al.. (2019). Absence of the type I-E CRISPR-Cas system in Klebsiella pneumoniae clonal complex 258 is associated with dissemination of IncF epidemic resistance plasmids in this clonal complex. Journal of Antimicrobial Chemotherapy. 75(4). 890–895. 40 indexed citations
13.
Jiang, Xiaofei, et al.. (2018). Physicochemical properties, flavor intensity and oxidative stability of different camellia oils. International journal of agricultural and biological engineering. 11(5). 230–235. 5 indexed citations
14.
Zhuang, Xinyu, et al.. (2017). Salidroside inhibits high-glucose induced proliferation of vascular smooth muscle cells via inhibiting mitochondrial fission and oxidative stress. Experimental and Therapeutic Medicine. 14(1). 515–524. 35 indexed citations
15.
Zhuang, Xinyu, et al.. (2016). Dynamin-related protein inhibitor downregulates reactive oxygen species levels to indirectly suppress high glucose-induced hyperproliferation of vascular smooth muscle cells. Biochemical and Biophysical Research Communications. 471(4). 474–478. 12 indexed citations
16.
Luo, Liulin, Xiaofei Jiang, Qiong Wu, et al.. (2011). Efflux Pump Overexpression in Conjunction with Alternation of Outer Membrane Protein May Induce <i>Acinetobacter baumannii</i> Resistant to Imipenem. Chemotherapy. 57(1). 77–84. 26 indexed citations
17.
Du, Xin, et al.. (2010). Novel genetic environment of the plasmid-mediated KPC-3 gene detected in Escherichia coli and Citrobacter freundii isolates from China. European Journal of Clinical Microbiology & Infectious Diseases. 30(4). 575–580. 24 indexed citations
18.
Li, Min, Binh An Diep, Amer E. Villaruz, et al.. (2009). Evolution of virulence in epidemic community-associated methicillin-resistant Staphylococcus aureus. Proceedings of the National Academy of Sciences. 106(14). 5883–5888. 322 indexed citations
19.
Chen, Nan, et al.. (2009). A novel genomic island related to cell growth in Klebsiella pneumoniae clinical isolates. Zhonghua weishengwuxue he mianyixue zazhi. 29(10). 869–873. 1 indexed citations
20.
Jiang, Xiaofei, et al.. (2008). A novel and rapid method for determining integration frequency catalyzed by integron integrase intI1. Journal of Microbiological Methods. 76(1). 97–100. 5 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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