Xiaorui Xing

428 total citations
10 papers, 224 citations indexed

About

Xiaorui Xing is a scholar working on Molecular Biology, Ecology and Insect Science. According to data from OpenAlex, Xiaorui Xing has authored 10 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Ecology and 3 papers in Insect Science. Recurrent topics in Xiaorui Xing's work include Entomopathogenic Microorganisms in Pest Control (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Bacteriophages and microbial interactions (2 papers). Xiaorui Xing is often cited by papers focused on Entomopathogenic Microorganisms in Pest Control (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Bacteriophages and microbial interactions (2 papers). Xiaorui Xing collaborates with scholars based in China, Australia and United States. Xiaorui Xing's co-authors include Minnan Yang, Xiangxi Wang, Changchang Cao, Jianwei Wang, Bing Zhou, Juan Chen, Jian Rao, Naijing Hu, Zhaokui Cai and Yuanchao Xue and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Xiaorui Xing

9 papers receiving 222 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaorui Xing China	6	121	116	31	29	24	10	224
Gexin Liu China	7	120 1.0×	151 1.3×	44 1.4×	27 0.9×	19 0.8×	10	262
Andrei E. Siniavin Russia	12	122 1.0×	85 0.7×	14 0.5×	8 0.3×	10 0.4×	32	280
Debajit Dey India	9	101 0.8×	138 1.2×	7 0.2×	34 1.2×	17 0.7×	16	273
Neil C. Dalvie United States	11	232 1.9×	44 0.4×	9 0.3×	9 0.3×	19 0.8×	20	282
Miao Mei China	6	97 0.8×	88 0.8×	15 0.5×	6 0.2×	11 0.5×	8	226
М. А. Филиппова Russia	11	136 1.1×	29 0.3×	12 0.4×	23 0.8×	33 1.4×	41	307
Yafei Chang China	6	134 1.1×	92 0.8×	6 0.2×	6 0.2×	16 0.7×	14	288
Ren Yang China	6	39 0.3×	121 1.0×	7 0.2×	5 0.2×	21 0.9×	10	175
Anne Stanley United States	10	134 1.1×	34 0.3×	168 5.4×	14 0.5×	91 3.8×	16	405
Tia M. Hughes United States	5	147 1.2×	123 1.1×	4 0.1×	12 0.4×	9 0.4×	7	269

Countries citing papers authored by Xiaorui Xing

Since Specialization

Citations

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

Fields of papers citing papers by Xiaorui Xing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaorui Xing

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

Wu, Jing, et al.. (2025). Ultrabright aggregation-induced materials for the highly sensitive detection of Ag+ and T-2 toxin. Food Chemistry. 471. 142838–142838. 2 indexed citations

Xing, Xiaorui, et al.. (2024). Silver amplified immunosensor via effective fluorogenic Ag+-imidazole aggregation for detection of AFB1. Analytica Chimica Acta. 1330. 343297–343297. 1 indexed citations

Xing, Xiaorui, et al.. (2024). A highly sensitive Photothermal Immunochromatographic test strip for detection of aflatoxin B1 based on CoS@TA Nanospheres. Food Chemistry. 463(Pt 4). 141555–141555. 3 indexed citations

Wang, Boliang, Qin Sun, Xiaorui Xing, Tiemin Liu, & Ru Wang. (2024). A challenge of inactivity after the COVID-19 pandemic: What can we learn from Australia?. SHILAP Revista de lepidopterología. 1(1). 16–23.

Cao, Changchang, Zhaokui Cai, Xia Xiao, et al.. (2021). The architecture of the SARS-CoV-2 RNA genome inside virion. Nature Communications. 12(1). 3917–3917. 125 indexed citations

Tai, Linhua, Guoliang Zhu, Minnan Yang, et al.. (2021). Nanometer-resolution in situ structure of the SARS-CoV-2 postfusion spike protein. Proceedings of the National Academy of Sciences. 118(48). 41 indexed citations

Wang, Zhongkang, Jie Yang, Caiyan Xin, et al.. (2019). Regulation of conidiation, dimorphic transition, and microsclerotia formation by MrSwi6 transcription factor in dimorphic fungus Metarhizium rileyi. World Journal of Microbiology and Biotechnology. 35(3). 46–46. 11 indexed citations

Xin, Caiyan, Xiaorui Xing, Fen Wang, et al.. (2019). MrMid2, encoding a cell wall stress sensor protein, is required for conidium production, stress tolerance, microsclerotium formation and virulence in the entomopathogenic fungus Metarhizium rileyi. Fungal Genetics and Biology. 134. 103278–103278. 9 indexed citations

Song, Zhangyong, Jie Yang, Caiyan Xin, et al.. (2018). A transcription factor, MrMsn2, in the dimorphic fungus Metarhizium rileyi is essential for dimorphism transition, aggravated pigmentation, conidiation and microsclerotia formation. Microbial Biotechnology. 11(6). 1157–1169. 20 indexed citations

10.

Yang, Minnan, et al.. (2017). KRAS and VEGF gene 3'-UTR single nucleotide polymorphisms predicted susceptibility in colorectal cancer. PLoS ONE. 12(3). e0174140–e0174140. 12 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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