Xiao‐Li Bing

1.8k total citations
46 papers, 1.2k citations indexed

About

Xiao‐Li Bing is a scholar working on Insect Science, Plant Science and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Xiao‐Li Bing has authored 46 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Insect Science, 11 papers in Plant Science and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Xiao‐Li Bing's work include Insect symbiosis and bacterial influences (35 papers), Insect-Plant Interactions and Control (22 papers) and Insect and Pesticide Research (13 papers). Xiao‐Li Bing is often cited by papers focused on Insect symbiosis and bacterial influences (35 papers), Insect-Plant Interactions and Control (22 papers) and Insect and Pesticide Research (13 papers). Xiao‐Li Bing collaborates with scholars based in China, United States and Australia. Xiao‐Li Bing's co-authors include Shu‐Sheng Liu, Xiao‐Wei Wang, Xiao‐Yue Hong, Nicolas Buchon, Dian‐Shu Zhao, Gregory M. Loeb, Ary A. Hoffmann, Einat Zchori‐Fein, Jiao Yang and Qiong Rao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Applied and Environmental Microbiology.

In The Last Decade

Xiao‐Li Bing

42 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiao‐Li Bing China 19 1.0k 350 150 115 106 46 1.2k
Bao‐Li Qiu China 19 1.1k 1.1× 513 1.5× 207 1.4× 58 0.5× 191 1.8× 68 1.3k
Delphine Charif France 17 827 0.8× 408 1.2× 346 2.3× 109 0.9× 118 1.1× 26 1.3k
Bok Luel Lee South Korea 20 758 0.7× 226 0.6× 158 1.1× 69 0.6× 81 0.8× 26 967
Qianzhuo Mao China 22 712 0.7× 1.0k 2.9× 226 1.5× 200 1.7× 44 0.4× 56 1.2k
Kohjiro Tanaka Japan 12 444 0.4× 197 0.6× 165 1.1× 33 0.3× 61 0.6× 20 617
Juan C. Paredes Kenya 13 720 0.7× 124 0.4× 91 0.6× 93 0.8× 87 0.8× 16 867
Gabrielle Duport France 14 487 0.5× 241 0.7× 231 1.5× 27 0.2× 76 0.7× 25 698
Marisa Škaljac Croatia 15 708 0.7× 340 1.0× 128 0.9× 27 0.2× 96 0.9× 24 827
Donglin Xu China 17 498 0.5× 897 2.6× 246 1.6× 71 0.6× 27 0.3× 36 1.1k
Hisashi Anbutsu Japan 21 939 0.9× 245 0.7× 86 0.6× 45 0.4× 152 1.4× 27 1.0k

Countries citing papers authored by Xiao‐Li Bing

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Li Bing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao‐Li Bing. 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 Xiao‐Li Bing. The network helps show where Xiao‐Li Bing may publish in the future.

Co-authorship network of co-authors of Xiao‐Li Bing

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao‐Li Bing. A scholar is included among the top collaborators of Xiao‐Li Bing 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 Xiao‐Li Bing. Xiao‐Li Bing 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.
Ren, Lu, Ying Men, Xiao‐Li Bing, Ary A. Hoffmann, & Xiao‐Yue Hong. (2025). Transovarial transmission of Wolbachia bacteria via P44/Msp2‐IMP2 mediated endocytosis. Insect Science.
2.
Wang, Zihan, Mengke Wang, Dian‐Shu Zhao, et al.. (2025). Wolbachia enhances ovarian development in the rice planthopper Laodelphax striatellus through elevated energy production. Nature Communications. 17(1). 931–931.
3.
4.
5.
Liu, Huanhuan, et al.. (2023). Environmental Factors and the Symbiont Cardinium Influence the Bacterial Microbiome of Spider Mites Across the Landscape. Microbial Ecology. 87(1). 1–1. 2 indexed citations
6.
Wang, Mengke, et al.. (2023). NDUFA8 potentially rescues Wolbachia‐induced cytoplasmic incompatibility in Laodelphax striatellus. Insect Science. 30(6). 1689–1700. 1 indexed citations
7.
8.
Liu, Xi, Péter Nagy, Alessandro Bonfini, et al.. (2022). Microbes affect gut epithelial cell composition through immune-dependent regulation of intestinal stem cell differentiation. Cell Reports. 38(13). 110572–110572. 43 indexed citations
9.
Wang, Mengke, et al.. (2022). Endosymbionts Reduce Microbiome Diversity and Modify Host Metabolism and Fecundity in the Planthopper Sogatella furcifera. mSystems. 7(2). e0151621–e0151621. 26 indexed citations
10.
Xia, Xue, et al.. (2022). Rop plays conserved roles in the reproductive and digestive processes of spider mites. Insect Science. 30(2). 351–364. 3 indexed citations
11.
Yang, Kun, Han Chen, Xiao‐Li Bing, et al.. (2021). Wolbachia and Spiroplasma could influence bacterial communities of the spider mite Tetranychus truncatus. Experimental and Applied Acarology. 83(2). 197–210. 8 indexed citations
12.
Bing, Xiao‐Li, et al.. (2020). Identification of natural pathogens from wild Drosophila suzukii. Pest Management Science. 77(4). 1594–1606. 16 indexed citations
13.
Houtz, Philip, Alessandro Bonfini, Xiao‐Li Bing, & Nicolas Buchon. (2019). Recruitment of Adult Precursor Cells Underlies Limited Repair of the Infected Larval Midgut in Drosophila. Cell Host & Microbe. 26(3). 412–425.e5. 23 indexed citations
14.
Huang, Hai‐Jian, et al.. (2019). Proteomic analysis of Laodelphax striatellus gonads reveals proteins that may manipulate host reproduction by Wolbachia. Insect Biochemistry and Molecular Biology. 113. 103211–103211. 8 indexed citations
15.
Bing, Xiao‐Li, Dian‐Shu Zhao, & Xiao‐Yue Hong. (2019). Bacterial reproductive manipulators in rice planthoppers. Archives of Insect Biochemistry and Physiology. 101(2). e21548–e21548. 11 indexed citations
16.
Bing, Xiao‐Li, Geoffrey M. Attardo, Aurélien Vigneron, et al.. (2017). Unravelling the relationship between the tsetse fly and its obligate symbiont Wigglesworthia : transcriptomic and metabolomic landscapes reveal highly integrated physiological networks. Proceedings of the Royal Society B Biological Sciences. 284(1857). 20170360–20170360. 42 indexed citations
17.
Shan, Hong‐Wei, et al.. (2014). Differential Responses of the Whitefly Bemisia tabaci Symbionts to Unfavorable Low and High Temperatures. Microbial Ecology. 68(3). 472–482. 39 indexed citations
18.
Qin, Li, Jia Wang, Xiao‐Li Bing, & Shu‐Sheng Liu. (2013). Identification of nine cryptic species of Bemisia tabaci (Hemiptera: Aleyrodidae) from China by using the mtCOI PCR-RFLP technique.. Acta Entomologica Sinica. 56(2). 186–194. 18 indexed citations
19.
Bing, Xiao‐Li, Yongming Ruan, Qiong Rao, Xiao‐Wei Wang, & Shu‐Sheng Liu. (2012). Diversity of secondary endosymbionts among different putative species of the whitefly Bemisia tabaci. Insect Science. 20(2). 194–206. 78 indexed citations
20.
Bing, Xiao‐Li, Jiao Yang, Einat Zchori‐Fein, Xiao‐Wei Wang, & Shu‐Sheng Liu. (2012). Characterization of a Newly Discovered Symbiont of the Whitefly Bemisia tabaci (Hemiptera: Aleyrodidae). Applied and Environmental Microbiology. 79(2). 569–575. 111 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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