Lixin Shen

747 total citations
32 papers, 562 citations indexed

About

Lixin Shen is a scholar working on Molecular Biology, Molecular Medicine and Genetics. According to data from OpenAlex, Lixin Shen has authored 32 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 16 papers in Molecular Medicine and 10 papers in Genetics. Recurrent topics in Lixin Shen's work include Bacterial biofilms and quorum sensing (17 papers), Antibiotic Resistance in Bacteria (15 papers) and Bacterial Genetics and Biotechnology (10 papers). Lixin Shen is often cited by papers focused on Bacterial biofilms and quorum sensing (17 papers), Antibiotic Resistance in Bacteria (15 papers) and Bacterial Genetics and Biotechnology (10 papers). Lixin Shen collaborates with scholars based in China, Canada and United States. Lixin Shen's co-authors include Kangmin Duan, Michael G. Surette, Weina Kong, Lin Chen, Shiwei Wang, Hong Wei, Jian Zhang, Jinhua Wei, Jieqiong Zhao and Lin Chen and has published in prestigious journals such as Applied and Environmental Microbiology, International Journal of Molecular Sciences and Molecular Microbiology.

In The Last Decade

Lixin Shen

30 papers receiving 556 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lixin Shen China 14 329 170 105 96 91 32 562
Saswat S. Mohapatra India 14 227 0.7× 165 1.0× 101 1.0× 85 0.9× 134 1.5× 25 588
Benjamin Rémy France 10 507 1.5× 144 0.8× 80 0.8× 57 0.6× 100 1.1× 12 662
Pablo Laborda Spain 18 265 0.8× 316 1.9× 113 1.1× 100 1.0× 77 0.8× 39 691
Nicholas A. Stella United States 19 484 1.5× 152 0.9× 93 0.9× 52 0.5× 228 2.5× 43 960
Janek Bzdrenga France 11 587 1.8× 104 0.6× 118 1.1× 97 1.0× 87 1.0× 16 803
Gregory B. Whitfield Canada 15 630 1.9× 121 0.7× 149 1.4× 95 1.0× 100 1.1× 31 854
Viola Camilla Scoffone Italy 14 369 1.1× 137 0.8× 53 0.5× 69 0.7× 131 1.4× 32 639
Qiyu Bao China 16 437 1.3× 269 1.6× 112 1.1× 68 0.7× 139 1.5× 73 779
Julija Armalytė Lithuania 16 309 0.9× 196 1.2× 119 1.1× 49 0.5× 144 1.6× 27 648
J. Jaissle United States 11 199 0.6× 81 0.5× 84 0.8× 59 0.6× 71 0.8× 38 439

Countries citing papers authored by Lixin Shen

Since Specialization
Citations

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

Fields of papers citing papers by Lixin Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lixin Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Lixin Shen. A scholar is included among the top collaborators of Lixin Shen 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 Lixin Shen. Lixin Shen 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.
2.
Li, Na, Wan Liu, Xiaoyan Zheng, et al.. (2023). Antimicrobial hydrogel with multiple pH-responsiveness for infected burn wound healing. Nano Research. 16(8). 11139–11148. 30 indexed citations
3.
4.
Guo, Qiao, Zhihua Wei, Qin Yang, et al.. (2021). Baicalin Represses Type Three Secretion System of Pseudomonas aeruginosa through PQS System. Molecules. 26(6). 1497–1497. 22 indexed citations
5.
Zhang, Wei, Jian Kang, Xuan Liang, et al.. (2021). Subunit Vaccine ESAT-6:c-di-AMP Delivered by Intranasal Route Elicits Immune Responses and Protects Against Mycobacterium tuberculosis Infection. Frontiers in Cellular and Infection Microbiology. 11. 647220–647220. 27 indexed citations
6.
Pan, Yao, et al.. (2019). Comparison and analysis of forestry development in Papua New Guinea, the Philippines and Fiji.. 32(4). 86–91. 1 indexed citations
7.
Zhang, Huiqun, et al.. (2019). Regulatory Effect of DNA Topoisomerase I on T3SS Activity, Antibiotic Susceptibility and Quorum- Sensing-Independent Pyocyanin Synthesis in Pseudomonas aeruginosa. International Journal of Molecular Sciences. 20(5). 1116–1116. 12 indexed citations
8.
Wang, Lifei, Jie Zhou, Jian Kang, et al.. (2019). Recombinant BCG With Bacterial Signaling Molecule Cyclic di-AMP as Endogenous Adjuvant Induces Elevated Immune Responses After Mycobacterium tuberculosis Infection. Frontiers in Immunology. 10. 1519–1519. 22 indexed citations
9.
Wang, Yulu, Liyue Wang, Jian Zhang, et al.. (2019). PA0335, a Gene Encoding Histidinol Phosphate Phosphatase, Mediates Histidine Auxotrophy in Pseudomonas aeruginosa. Applied and Environmental Microbiology. 86(5). 6 indexed citations
10.
Fu, Bo, et al.. (2017). Inhibition of Pseudomonas aeruginosa Biofilm Formation by Traditional Chinese Medicinal Herb Herba patriniae. BioMed Research International. 2017. 1–10. 39 indexed citations
11.
Guo, Zisheng, et al.. (2017). The Two-Operon-Coded ABC Transporter Complex FpvWXYZCDEF is Required for Pseudomonas aeruginosa Growth and Virulence Under Iron-Limiting Conditions. The Journal of Membrane Biology. 251(1). 91–104. 6 indexed citations
12.
Wang, Bobo, Бо Ли, Ying Liang, et al.. (2015). Pleiotropic effects of temperature-regulated 2-OH-lauroytransferase (PA0011) on Pseudomonas aeruginosa antibiotic resistance, virulence and type III secretion system. Microbial Pathogenesis. 91. 5–17. 11 indexed citations
13.
Li, Jing, et al.. (2014). Genetic determinants involved in the biodegradation of naphthalene and phenanthrene in Pseudomonas aeruginosa PAO1. Environmental Science and Pollution Research. 22(9). 6743–6755. 19 indexed citations
14.
Shen, Lixin. (2013). Study on Carbon Storage of Traditional Arbor Tea Ecosystem of the Bulang Nationality in Jingmai Mountain. 2 indexed citations
15.
Yang, Liang, Lin Chen, Lixin Shen, Michael G. Surette, & Kangmin Duan. (2011). Inactivation of MuxABC-OpmB transporter system in Pseudomonas aeruginosa leads to increased ampicillin and carbenicillin resistance and decreased virulence. The Journal of Microbiology. 49(1). 107–114. 37 indexed citations
16.
Zhang, Dan, et al.. (2010). [Recent advances in bacterial biodegradation of naphthalene, phenanthrene by bacteria: a review].. PubMed. 26(6). 726–34. 2 indexed citations
17.
Chen, Lin, et al.. (2010). Identification of Pseudomonas aeruginosa genes associated with antibiotic susceptibility. Science China Life Sciences. 53(10). 1247–1251. 7 indexed citations
18.
Liang, Haihua, Lingling Li, Weina Kong, Lixin Shen, & Kangmin Duan. (2009). Identification of a novel regulator of the quorum-sensing systems inPseudomonas aeruginosa. FEMS Microbiology Letters. 293(2). 196–204. 14 indexed citations
19.
Shen, Lixin. (2009). Screening for phenanthrene-degrading bacteria and its characteristics. 1 indexed citations
20.
Shen, Lixin, Ying Shi, Dan Zhang, et al.. (2008). Modulation of secreted virulence factor genes by subinhibitory concentrations of antibiotics in Pseudomonas aeruginosa. The Journal of Microbiology. 46(4). 441–447. 46 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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