Xiaoyan Xu

5.4k total citations · 1 hit paper
164 papers, 4.3k citations indexed

About

Xiaoyan Xu is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Xiaoyan Xu has authored 164 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Immunology, 53 papers in Molecular Biology and 47 papers in Cancer Research. Recurrent topics in Xiaoyan Xu's work include Aquaculture disease management and microbiota (66 papers), MicroRNA in disease regulation (32 papers) and Invertebrate Immune Response Mechanisms (22 papers). Xiaoyan Xu is often cited by papers focused on Aquaculture disease management and microbiota (66 papers), MicroRNA in disease regulation (32 papers) and Invertebrate Immune Response Mechanisms (22 papers). Xiaoyan Xu collaborates with scholars based in China, United States and Canada. Xiaoyan Xu's co-authors include Yubang Shen, Fang‐Jie Zhao, S. P. McGrath, Naoki Yamaji, Yuhong Su, Jian Feng, Namiki Mitani, Jiale Li, Jiale Li and Jianjun Fu 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

Xiaoyan Xu

159 papers receiving 4.3k citations

Hit Papers

Transporters of arsenite in rice and their role in arseni... 2008 2026 2014 2020 2008 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoyan Xu China 33 1.2k 1.2k 1000 907 671 164 4.3k
Young‐Ok Kim South Korea 30 326 0.3× 947 0.8× 245 0.2× 1.4k 1.6× 193 0.3× 252 3.5k
Pål A. Olsvik Norway 40 330 0.3× 1.5k 1.2× 190 0.2× 1.1k 1.2× 929 1.4× 158 5.7k
Jae‐Sung Rhee South Korea 39 266 0.2× 453 0.4× 382 0.4× 1.6k 1.7× 1.2k 1.7× 238 5.2k
Marc H.G. Berntssen Norway 42 432 0.4× 1.1k 1.0× 289 0.3× 610 0.7× 794 1.2× 136 5.4k
Jianmin Zhao China 56 625 0.5× 2.8k 2.3× 267 0.3× 2.0k 2.2× 3.0k 4.4× 261 9.7k
Mário Pacheco Portugal 45 868 0.7× 550 0.5× 296 0.3× 525 0.6× 1.9k 2.9× 170 6.1k
Vicki S. Blazer United States 41 166 0.1× 1.8k 1.5× 237 0.2× 416 0.5× 1.4k 2.1× 190 5.6k
Cláudia Bueno dos Reis Martinez Brazil 41 1.1k 0.9× 648 0.6× 157 0.2× 273 0.3× 2.0k 2.9× 105 5.0k
Juan Carlos Navarro Spain 40 275 0.2× 1.3k 1.1× 290 0.3× 629 0.7× 466 0.7× 174 6.1k
Jun Xie China 39 429 0.4× 2.9k 2.5× 133 0.1× 908 1.0× 235 0.4× 200 5.1k

Countries citing papers authored by Xiaoyan Xu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyan Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyan Xu. A scholar is included among the top collaborators of Xiaoyan Xu 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 Xiaoyan Xu. Xiaoyan Xu 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
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Xu, Xiaoyan, et al.. (2024). The complete mitogenome reveals genetic diversity and differentiation among wild and farmed black carp (Mylopharyngodon piceus) populations. Aquaculture and Fisheries. 10(6). 953–960. 3 indexed citations
6.
Xu, Xiaoyan, et al.. (2024). LINC01929 Is a Prognostic Biomarker for Multiple Tumours and Promotes Cell Proliferation in Breast Cancer Through the TNF/STAT3 Axis. Journal of Cellular and Molecular Medicine. 28(22). e70227–e70227.
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Xia, Yi, Xiaoyan Xu, Yilong Wang, et al.. (2024). Taurine-mediated gene transcription and cell membrane permeability reinforced co-production of bioethanol and Monascus azaphilone pigments for a newly isolated Monascus purpureus. SHILAP Revista de lepidopterología. 17(1). 59–59. 4 indexed citations
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Yu, Hongyan, et al.. (2023). Identification of multifunctionality of grass carp (Ctenopharyngodon idella) TBK1 during bacterial infection. Fish & Shellfish Immunology. 136. 108630–108630. 3 indexed citations
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Li, Yuan, Yuting Liu, Lang Gui, et al.. (2023). Genome-wide association study reveals growth-related SNPs and candidate genes in grass carp (Ctenopharyngodon idella). Aquaculture. 577. 739979–739979. 20 indexed citations
10.
Chen, Feng, Wei Zhang, Xiaoyan Xu, et al.. (2023). Identification of Genes Related to Resistance to Ichthyophthirius multifiliis Based on Co-expression Network Analysis in Grass Carp. Marine Biotechnology. 25(5). 824–836. 3 indexed citations
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Pang, Yifan, et al.. (2023). Clustering pattern and evolution characteristic of microRNAs in grass carp (Ctenopharyngodon idella). BMC Genomics. 24(1). 73–73. 2 indexed citations
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Xia, Yi, Dong Yang, Xiaoyan Xu, et al.. (2023). Cold plasma pretreatment reinforces the lignocellulose-derived aldehyde inhibitors tolerance and bioethanol fermentability for Zymomonas mobilis. SHILAP Revista de lepidopterología. 16(1). 102–102. 5 indexed citations
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He, Yan, Hongyan Yu, Honggang Zhao, et al.. (2021). Transcriptomic analysis to elucidate the effects of high stocking density on grass carp (Ctenopharyngodon idella). BMC Genomics. 22(1). 620–620. 16 indexed citations
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Wang, Shentong, Jiahua Zhang, Yubang Shen, et al.. (2020). 16S rRNA sequencing analysis of the correlation between the intestinal microbiota and body-mass of grass carp (Ctenopharyngodon idella). Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 35. 100699–100699. 20 indexed citations
15.
Xu, Xiaoyan, et al.. (2019). miR-23a-3p and miR-23a-5p target CiGadd45ab to modulate inflammatory response and apoptosis in grass carp. Fish & Shellfish Immunology. 98. 34–44. 16 indexed citations
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Li, Ning, Lisui Bao, Tao Zhou, et al.. (2018). Genome sequence of walking catfish (Clarias batrachus) provides insights into terrestrial adaptation. BMC Genomics. 19(1). 952–952. 44 indexed citations
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Jin, Yulin, Tao Zhou, Ning Li, et al.. (2017). JAK and STAT members in channel catfish: Identification, phylogenetic analysis and expression profiling after Edwardsiella ictaluri infection. Developmental & Comparative Immunology. 81. 334–341. 32 indexed citations
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Wu, De, et al.. (2017). Role of SIRT1/PGC-1α in mitochondrial oxidative stress in autistic spectrum disorder. Neuropsychiatric Disease and Treatment. Volume 13. 1633–1645. 39 indexed citations
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Yang, Xiaomeng, Yubang Shen, Xiaoyan Xu, et al.. (2016). Identification and functional analysis of the toll-like receptor 20.2 gene in grass carp, Ctenopharyngodon idella. Developmental & Comparative Immunology. 65. 91–97. 8 indexed citations
20.
Liu, Feng, Jiale Li, Jianjun Fu, Yubang Shen, & Xiaoyan Xu. (2011). Two novel homologs of simple C-type lectin in grass carp (Ctenopharyngodon idellus): Potential role in immune response to bacteria. Fish & Shellfish Immunology. 31(6). 765–773. 23 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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