Xiaoling Tan

1.2k total citations
43 papers, 665 citations indexed

About

Xiaoling Tan is a scholar working on Insect Science, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Xiaoling Tan has authored 43 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Insect Science, 20 papers in Plant Science and 10 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Xiaoling Tan's work include Insect-Plant Interactions and Control (24 papers), Insect and Pesticide Research (13 papers) and Plant Parasitism and Resistance (10 papers). Xiaoling Tan is often cited by papers focused on Insect-Plant Interactions and Control (24 papers), Insect and Pesticide Research (13 papers) and Plant Parasitism and Resistance (10 papers). Xiaoling Tan collaborates with scholars based in China, France and Australia. Xiaoling Tan's co-authors include Tong‐Xian Liu, Julian Chen, Xue Yang, J. P. Michaud, Honggang Tian, Zhiwei Kang, Fang‐Hua Liu, Su Wang, Xiaojun Guo and Nicolas Desneux and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Xiaoling Tan

41 papers receiving 657 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoling Tan China 18 462 341 164 137 69 43 665
Chuanren Li China 17 516 1.1× 413 1.2× 240 1.5× 162 1.2× 86 1.2× 58 814
Yizhong Yang China 15 382 0.8× 212 0.6× 169 1.0× 163 1.2× 67 1.0× 45 555
Jian‐Yu Meng China 15 251 0.5× 322 0.9× 223 1.4× 75 0.5× 89 1.3× 47 642
Wenkai Wang China 12 370 0.8× 283 0.8× 207 1.3× 157 1.1× 123 1.8× 66 644
Xingmiao Zhou China 14 399 0.9× 334 1.0× 115 0.7× 105 0.8× 64 0.9× 27 578
Ruiyan Ma China 16 566 1.2× 291 0.9× 229 1.4× 174 1.3× 100 1.4× 74 784
Nianwan Yang China 13 529 1.1× 353 1.0× 104 0.6× 150 1.1× 70 1.0× 53 687
Abid Ali China 15 631 1.4× 517 1.5× 307 1.9× 143 1.0× 87 1.3× 64 901
Yi Yu China 14 340 0.7× 223 0.7× 166 1.0× 87 0.6× 76 1.1× 55 535
Lin‐Quan Ge China 16 595 1.3× 372 1.1× 349 2.1× 100 0.7× 105 1.5× 44 799

Countries citing papers authored by Xiaoling Tan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoling Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoling Tan. A scholar is included among the top collaborators of Xiaoling Tan 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 Xiaoling Tan. Xiaoling Tan 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.
Liu, Yongkang, Fan Yang, Xianzhong Wang, et al.. (2025). Comparative transcriptomic and metabolomics analysis of ovary in Nilaparvata lugens after trehalase inhibition. BMC Genomics. 26(1). 98–98.
3.
Cui, Hongying, Amber R. Sciligo, Xiaoling Tan, et al.. (2024). Dynamic trends in maize diseases and pests across six regions in China over two decades. Crop Protection. 186. 106930–106930. 5 indexed citations
4.
Ji, X. B., et al.. (2024). The Adaptability of Beet Webworm (Loxostege sticticalis) to Soybeans and Other Different Host Plants. Agronomy. 14(11). 2595–2595. 1 indexed citations
5.
Wang, Yang, et al.. (2024). Increased ladybird predation and metabolism do not counterbalance increased field aphid population growth under experimental warming. Functional Ecology. 38(5). 1134–1145. 1 indexed citations
6.
Li, Yan, Shan Zhao, Ruijuan Wang, et al.. (2024). Stress Response of Aphid Population Under Combined Stress of Cadmium and Lead and Its Effects on Development of Harmonia axyridis. International Journal of Molecular Sciences. 25(20). 11145–11145. 3 indexed citations
7.
Wang, Xiaoru, et al.. (2023). Developmental, Reproduction, and Feeding Preferences of the Sitobion avenae Mediated by Soil Silicon Application. Plants. 12(5). 989–989. 7 indexed citations
8.
Li, Weiwei, Yang Wang, Coline C. Jaworski, et al.. (2023). Effects of experimental warming on competition between Rhopalosiphum padi and Sitobion avenae mediated by plant water content. Journal of Pest Science. 97(3). 1623–1632. 3 indexed citations
9.
Li, Pei‐Rong, Xinru Li, Wei Wang, et al.. (2021). Transcriptional identification of differentially expressed genes during the prepupal–pupal transition in the oriental armyworm,Mythimna separata(Walker) (Lepidoptera: Noctuidae). Bulletin of Entomological Research. 111(4). 485–498. 2 indexed citations
10.
Qin, Yaoguo, Jia Fan, Yong Zhang, et al.. (2020). Reduced insecticide susceptibility of the wheat aphid Sitobion miscanthi after infection by the secondary bacterial symbiont Hamiltonella defensa. Pest Management Science. 77(4). 1936–1944. 37 indexed citations
11.
Liu, Fang‐Hua, Zhiwei Kang, Xiaoling Tan, et al.. (2020). Physiology and defense responses of wheat to the infestation of different cereal aphids. Journal of Integrative Agriculture. 19(6). 1464–1474. 36 indexed citations
12.
Kang, Zhiwei, Fang‐Hua Liu, Xiaoling Tan, et al.. (2018). Infection of Powdery Mildew Reduces the Fitness of Grain Aphids (Sitobion avenae) Through Restricted Nutrition and Induced Defense Response in Wheat. Frontiers in Plant Science. 9. 778–778. 21 indexed citations
13.
Li, Xinru, et al.. (2018). LC50 of lambda-cyhalothrin stimulates reproduction on the moth Mythimna separata (Walker). Pesticide Biochemistry and Physiology. 153. 47–54. 24 indexed citations
14.
Kang, Zhiwei, et al.. (2017). The identification and expression analysis of candidate chemosensory genes in the bird cherry-oat aphid Rhopalosiphum padi (L.). Bulletin of Entomological Research. 108(5). 645–657. 11 indexed citations
15.
16.
Tan, Xiaoling, Fan Zhang, Ricardo Ramírez‐Romero, et al.. (2016). Mixed release of two parasitoids and a polyphagous ladybird as a potential strategy to control the tobacco whitefly Bemisia tabaci. Scientific Reports. 6(1). 28245–28245. 24 indexed citations
17.
Tan, Xiaoling, et al.. (2016). High Ozone (O3) Affects the Fitness Associated with the Microbial Composition and Abundance of Q Biotype Bemisia tabaci. Frontiers in Microbiology. 7. 1593–1593. 5 indexed citations
18.
Tan, Xiaoling, Su Wang, T. J. Ridsdill‐Smith, & Tong‐Xian Liu. (2014). Direct and Indirect Impacts of Infestation of Tomato Plant by Myzus persicae (Hemiptera: Aphididae) on Bemisia tabaci (Hemiptera: Aleyrodidae). PLoS ONE. 9(4). e94310–e94310. 16 indexed citations
19.
Zeng, Fan, Haiqiang Zou, Huadong Zhou, et al.. (2013). The relationship between single nucleotide polymorphisms of the NTRK2 gene and sporadic Alzheimer's disease in the Chinese Han population. Neuroscience Letters. 550. 55–59. 19 indexed citations
20.
Tan, Xiaoling. (1998). Mapping of Rice Rf Gene by Bulked Line Analysis. DNA Research. 5(1). 15–18. 8 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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