Xiaobin Shi

1.5k total citations
58 papers, 1.1k citations indexed

About

Xiaobin Shi is a scholar working on Plant Science, Insect Science and Molecular Biology. According to data from OpenAlex, Xiaobin Shi has authored 58 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Plant Science, 48 papers in Insect Science and 8 papers in Molecular Biology. Recurrent topics in Xiaobin Shi's work include Insect-Plant Interactions and Control (46 papers), Plant Virus Research Studies (41 papers) and Plant Parasitism and Resistance (19 papers). Xiaobin Shi is often cited by papers focused on Insect-Plant Interactions and Control (46 papers), Plant Virus Research Studies (41 papers) and Plant Parasitism and Resistance (19 papers). Xiaobin Shi collaborates with scholars based in China, United States and Switzerland. Xiaobin Shi's co-authors include Youjun Zhang, Wen Xie, Huipeng Pan, Xuguo Zhou, Qingjun Wu, Shaoli Wang, Yong Fang, Deyong Zhang, Kaiyun Wang and Kang Qiao and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Xiaobin Shi

53 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaobin Shi China 18 846 838 146 67 44 58 1.1k
T. Venkatesan India 19 877 1.0× 545 0.7× 642 4.4× 133 2.0× 56 1.3× 136 1.2k
R. H. C. Curtis United Kingdom 19 258 0.3× 783 0.9× 118 0.8× 32 0.5× 20 0.5× 52 1.0k
B. Hau Germany 20 194 0.2× 1.2k 1.4× 140 1.0× 145 2.2× 85 1.9× 67 1.4k
Beatriz Dáder Spain 13 360 0.4× 463 0.6× 93 0.6× 79 1.2× 19 0.4× 23 591
Sung-Oui Suh United States 7 105 0.1× 157 0.2× 291 2.0× 45 0.7× 37 0.8× 7 522
Jay William Pscheidt United States 15 123 0.1× 492 0.6× 108 0.7× 98 1.5× 8 0.2× 54 672
Albert Tenuta Canada 19 41 0.0× 984 1.2× 144 1.0× 65 1.0× 45 1.0× 50 1.1k
Marcela A. Rodríguez Chile 10 194 0.2× 76 0.1× 174 1.2× 37 0.6× 71 1.6× 36 378
Katherine Hendricks United States 12 86 0.1× 268 0.3× 71 0.5× 27 0.4× 54 1.2× 24 441
Sumit Jangra India 12 110 0.1× 258 0.3× 159 1.1× 17 0.3× 46 1.0× 37 415

Countries citing papers authored by Xiaobin Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobin Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobin Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobin Shi. A scholar is included among the top collaborators of Xiaobin Shi 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 Xiaobin Shi. Xiaobin Shi 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.
Cheng, Xu, Tao Tang, Renyan Huang, et al.. (2025). Functional Analyses of a Rhodobium marinum RH-AZ Genome and Its Application for Promoting the Growth of Rice Under Saline Stress. Plants. 14(16). 2516–2516. 1 indexed citations
2.
3.
Gao, Liming, Kailong Li, Jiao Du, et al.. (2024). Perilla frutescens repels and controls Bemisia tabaci MED with its key volatile linalool and caryophyllene. Crop Protection. 184. 106837–106837. 2 indexed citations
4.
Luo, Xiangwen, Liping Huang, Yu Zhang, et al.. (2024). A viral protein activates the MAPK pathway to promote viral infection by downregulating callose deposition in plants. Nature Communications. 15(1). 10548–10548. 8 indexed citations
5.
Huang, Liping, Yingying Tang, Jiao Du, et al.. (2024). Dufulin Impacts Plant Defense Against Tomato Yellow Leaf Curl Virus Infecting Tomato. Viruses. 17(1). 53–53. 4 indexed citations
6.
Chen, Gong, Zhuo Zhang, Zhaojiang Guo, et al.. (2024). Single‐cell transcriptome landscape elucidates the cellular and developmental responses to tomato chlorosis virus infection in tomato leaf. Plant Cell & Environment. 47(7). 2658–2672. 13 indexed citations
7.
Gao, Liming, Zhanhong Zhang, Kailong Li, et al.. (2024). D-Limonene Affects the Feeding Behavior and the Acquisition and Transmission of Tomato Yellow Leaf Curl Virus by Bemisia tabaci. Viruses. 16(2). 300–300. 4 indexed citations
9.
Peng, Jing, Xiaobin Shi, Gang Xie, et al.. (2023). Zinc finger protein 330 regulates Ramie mosaic virus infection in the whitefly Bemisia tabaciMED. Pest Management Science. 79(5). 1750–1759. 2 indexed citations
10.
Li, Kailong, Xiaobin Shi, Wuying Chen, et al.. (2023). Residue behavior and processing factors of thirteen field-applied pesticides during the production of Chinese traditional fermented chopped pepper and chili powder. Food Chemistry X. 19. 100854–100854. 8 indexed citations
11.
Wang, Pei, Xiaobin Shi, Jingwen Zhang, et al.. (2023). Rhodopseudomonas palustris PSB06 agent enhance pepper yield and regulating the rhizosphere microecological environment. Frontiers in Sustainable Food Systems. 7. 4 indexed citations
12.
Yang, Xiao, Xiangwen Luo, Yu Zhang, et al.. (2023). Tomato chlorosis virus CPm protein is a pathogenicity determinant and suppresses host local RNA silencing induced by single-stranded RNA. Frontiers in Microbiology. 14. 1151747–1151747. 4 indexed citations
13.
Shi, Xiaobin, et al.. (2018). Molecular identification of Tomato chlorosis virus and Tomato yellow leaf curl virus in Yunnan Province.. Acta Horticulturae Sinica. 45(3). 552–560. 5 indexed citations
14.
Wang, Xuezhong, et al.. (2018). First report of the occurance of Tomato chlorosis virus in Hunan Province.. Zhongguo shucai. 27–31. 1 indexed citations
15.
Shi, Xiaobin, Xin Tang, Xing Zhang, et al.. (2018). Transmission Efficiency, Preference and Behavior of Bemisia tabaci MEAM1 and MED under the Influence of Tomato Chlorosis Virus. Frontiers in Plant Science. 8. 2271–2271. 68 indexed citations
16.
Chen, Gong, Qi Su, Xiaobin Shi, et al.. (2017). Odor, Not Performance, Dictates Bemisia tabaci's Selection between Healthy and Virus Infected Plants. Frontiers in Physiology. 8. 146–146. 35 indexed citations
17.
Shi, Xiaobin, Baiming Liu, Huipeng Pan, et al.. (2015). Transmission of Tomato Yellow Leaf Curl Virus by Bemisia tabaci as Affected by Whitefly Sex and Biotype. Scientific Reports. 5(1). 10744–10744. 69 indexed citations
18.
Shi, Xiaobin, Huipeng Pan, Hongyi Zhang, et al.. (2014). Bemisia tabaci Q carrying tomato yellow leaf curl virus strongly suppresses host plant defenses. Scientific Reports. 4(1). 5230–5230. 42 indexed citations
19.
Shi, Xiaobin, et al.. (2011). Cross-resistance of the imidacloprid-resistant population of Aphis gossypii Glover (Homoptera: Aphididae) to other neonicotinoid insecticides and changes in activities of related enzymes.. Acta Entomologica Sinica. 54(9). 1027–1033. 1 indexed citations
20.
Wang, Kaiyun, et al.. (2009). Cross-resistance of the imidacloprid-resistant population of Aphis gossypii Glover (Homoptera: Aphididae) to pymetrozine and other three pesticides and the effects of pesticide application on its biological characteristics.. Acta Entomologica Sinica. 52(2). 175–182. 3 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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