Xiulong Xu

4.6k total citations
103 papers, 3.8k citations indexed

About

Xiulong Xu is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Xiulong Xu has authored 103 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 35 papers in Epidemiology and 28 papers in Immunology. Recurrent topics in Xiulong Xu's work include Proteoglycans and glycosaminoglycans research (16 papers), Influenza Virus Research Studies (14 papers) and interferon and immune responses (13 papers). Xiulong Xu is often cited by papers focused on Proteoglycans and glycosaminoglycans research (16 papers), Influenza Virus Research Studies (14 papers) and interferon and immune responses (13 papers). Xiulong Xu collaborates with scholars based in United States, China and Maldives. Xiulong Xu's co-authors include Richard A. Prinz, Paolo Gattuso, Anita S. Chong, Roderick M. Quiros, James W. Williams, Alison Finnegan, Janet M.D. Plate, Kenneth B. Ain, Xin‐Yuan Fu and Geetha Rao and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Xiulong Xu

100 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiulong Xu United States 33 1.8k 874 735 642 582 103 3.8k
Xin Yuan China 30 2.3k 1.3× 640 0.7× 569 0.8× 344 0.5× 267 0.5× 75 4.3k
Takahiro Kodama Japan 39 2.4k 1.4× 824 0.9× 1.3k 1.7× 1.3k 2.0× 464 0.8× 176 5.8k
John A. Wilkins Canada 37 2.5k 1.4× 401 0.5× 1.0k 1.4× 411 0.6× 724 1.2× 130 5.4k
Carmen Berasain Spain 40 2.9k 1.6× 1.0k 1.2× 612 0.8× 1.2k 1.9× 302 0.5× 106 5.6k
Yasuo Horie Japan 28 1.7k 1.0× 352 0.4× 1.2k 1.7× 861 1.3× 306 0.5× 65 3.8k
Robert Steele United States 43 2.3k 1.3× 734 0.8× 753 1.0× 1.7k 2.7× 302 0.5× 83 5.0k
Eishiro Mizukoshi Japan 40 1.2k 0.7× 1.7k 1.9× 1.7k 2.3× 2.0k 3.2× 193 0.3× 164 5.4k
Steven Vonderfecht United States 34 2.0k 1.2× 408 0.5× 494 0.7× 655 1.0× 121 0.2× 88 4.1k
Raffaella Muraro Italy 33 1.7k 1.0× 1.3k 1.5× 683 0.9× 295 0.5× 112 0.2× 78 4.3k
Patrick A. Adegboyega United States 32 1.1k 0.6× 634 0.7× 590 0.8× 872 1.4× 115 0.2× 88 3.4k

Countries citing papers authored by Xiulong Xu

Since Specialization
Citations

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

Fields of papers citing papers by Xiulong Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiulong Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiulong Xu. A scholar is included among the top collaborators of Xiulong 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 Xiulong Xu. Xiulong 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
1.
Zhang, Qingqi, et al.. (2024). Toxoplasma gondii sustains survival by regulating cholesterol biosynthesis and uptake via SREBP2 activation. Journal of Lipid Research. 65(12). 100684–100684. 2 indexed citations
2.
Sun, Jing, et al.. (2023). Leflunomide alleviates obesity via activation of the TAK1‐AMPK pathway and induction of lipophagy. The FASEB Journal. 37(11). e23227–e23227. 2 indexed citations
3.
Liu, Kaituo, Yaqian Guo, Miao Cai, et al.. (2022). Enhanced pathogenicity and transmissibility of H9N2 avian influenza virus in mammals by hemagglutinin mutations combined with PB2-627K. Virologica Sinica. 38(1). 47–55. 16 indexed citations
4.
Li, Xiuli, Ying Zhao, Min Gu, et al.. (2021). The Packaging Regions of G1-Like PB2 Gene Contribute to Improving the Survival Advantage of Genotype S H9N2 Virus in China. Frontiers in Microbiology. 12. 655057–655057. 2 indexed citations
5.
6.
Shi, Jun Yi, Wei Liu, Miao Zhang, Jing Sun, & Xiulong Xu. (2021). The A179L Gene of African Swine Fever Virus Suppresses Virus-Induced Apoptosis but Enhances Necroptosis. Viruses. 13(12). 2490–2490. 18 indexed citations
7.
8.
Liu, Wei, Di Ran, Jing Sun, et al.. (2020). The Gli1‐Snail axis contributes to Salmonella Typhimurium‐induced disruption of intercellular junctions of intestinal epithelial cells. Cellular Microbiology. 22(8). e13211–e13211. 14 indexed citations
9.
Li, Xiaomei, Jing Sun, Richard A. Prinz, Xiufan Liu, & Xiulong Xu. (2020). Inhibition of porcine epidemic diarrhea virus (PEDV) replication by A77 1726 through targeting JAK and Src tyrosine kinases. Virology. 551. 75–83. 16 indexed citations
10.
Liu, Wei, Jing Zhuang, Yuanyuan Jiang, et al.. (2019). Toll‐like receptor signalling cross‐activates the autophagic pathway to restrictSalmonellaTyphimurium growth in macrophages. Cellular Microbiology. 21(12). e13095–e13095. 28 indexed citations
11.
Chen, Junhong, Jing Sun, Jin Ye, et al.. (2018). Control of hyperglycemia in male mice by leflunomide: mechanisms of action. Journal of Endocrinology. 237(1). 43–58. 13 indexed citations
12.
Hao, Xiaoli, Jiao Hu, Xiaolong Lu, et al.. (2017). Internal Gene Cassette from a Genotype S H9N2 Avian Influenza Virus Attenuates the Pathogenicity of H5 Viruses in Chickens and Mice. Frontiers in Microbiology. 8. 1978–1978. 16 indexed citations
13.
Hao, Xiaoli, Jiao Hu, Jing Xu, et al.. (2016). Reassortant H5N1 avian influenza viruses containing PA or NP gene from an H9N2 virus significantly increase the pathogenicity in mice. Veterinary Microbiology. 192. 95–101. 17 indexed citations
14.
Wu, Jianming, Maureen Richards, Jinhai Huang, et al.. (2011). Human FasL Gene Is a Target of β-Catenin/T-Cell Factor Pathway and Complex FasL Haplotypes Alter Promoter Functions. PLoS ONE. 6(10). e26143–e26143. 15 indexed citations
15.
Lewis, Edmund J. & Xiulong Xu. (2008). Abnormal Glomerular Permeability Characteristics in Diabetic Nephropathy. Diabetes Care. 31(Supplement_2). S202–S207. 70 indexed citations
16.
Maxhimer, Justin B., Geetha Rao, Catherine Pesce, et al.. (2005). Heparanase-1 Gene Expression and Regulation by High Glucose in Renal Epithelial Cells. Diabetes. 54(7). 2172–2178. 98 indexed citations
17.
18.
Xu, Xiulong, Roderick M. Quiros, Justin B. Maxhimer, et al.. (2003). Inverse correlation between heparan sulfate composition and heparanase-1 gene expression in thyroid papillary carcinomas: a potential role in tumor metastasis.. PubMed. 9(16 Pt 1). 5968–79. 39 indexed citations
19.
Quiros, Roderick M., Anthony W. Kim, Justin B. Maxhimer, et al.. (2002). Differential Heparanase-1 Expression in Malignant and Benign Pheochromocytomas. Journal of Surgical Research. 108(1). 44–50. 14 indexed citations
20.
Xu, Xiulong, James W. Williams, Jikun Shen, et al.. (1998). In Vitro and In Vivo Mechanisms of Action of the Antiproliferative and Immunosuppressive Agent, Brequinar Sodium. The Journal of Immunology. 160(2). 846–853. 28 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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