Xiuli Yang

4.2k total citations
111 papers, 2.7k citations indexed

About

Xiuli Yang is a scholar working on Parasitology, Infectious Diseases and Insect Science. According to data from OpenAlex, Xiuli Yang has authored 111 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Parasitology, 63 papers in Infectious Diseases and 32 papers in Insect Science. Recurrent topics in Xiuli Yang's work include Vector-borne infectious diseases (80 papers), Viral Infections and Vectors (58 papers) and Insect symbiosis and bacterial influences (28 papers). Xiuli Yang is often cited by papers focused on Vector-borne infectious diseases (80 papers), Viral Infections and Vectors (58 papers) and Insect symbiosis and bacterial influences (28 papers). Xiuli Yang collaborates with scholars based in United States, China and Türkiye. Xiuli Yang's co-authors include Utpal Pal, Ming He, Michael V. Norgard, Hai‐Jun Xu, Bryan Troxell, Alexis A. Smith, Zhiming Ouyang, Manish Kumar, Justin D. Radolf and Yongliang Lou and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Xiuli Yang

104 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiuli Yang United States 32 1.9k 1.3k 836 501 404 111 2.7k
Christian H. Eggers United States 25 2.1k 1.1× 1.3k 1.0× 1.0k 1.2× 581 1.2× 384 1.0× 32 2.5k
D. Scott Samuels United States 35 2.8k 1.5× 1.6k 1.2× 1.4k 1.7× 870 1.7× 501 1.2× 69 3.6k
Jason A. Carlyon United States 29 1.5k 0.8× 811 0.6× 341 0.4× 246 0.5× 541 1.3× 81 2.2k
Naotoshi Tsuji Japan 26 1.2k 0.6× 492 0.4× 534 0.6× 358 0.7× 332 0.8× 98 1.9k
Chiaki Ishihara Japan 26 974 0.5× 826 0.6× 278 0.3× 406 0.8× 334 0.8× 92 2.0k
Tao Lin United States 25 1.0k 0.5× 786 0.6× 357 0.4× 292 0.6× 164 0.4× 61 1.7k
Jon S. Blevins United States 24 849 0.4× 1.6k 1.2× 458 0.5× 268 0.5× 206 0.5× 40 2.6k
Yi‐Pin Lin United States 26 1.2k 0.6× 891 0.7× 170 0.2× 214 0.4× 269 0.7× 69 1.7k
Susan M. Noh United States 19 894 0.5× 530 0.4× 393 0.5× 367 0.7× 159 0.4× 55 1.3k
Mingqun Lin United States 25 897 0.5× 462 0.4× 296 0.4× 148 0.3× 534 1.3× 50 1.7k

Countries citing papers authored by Xiuli Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiuli Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiuli Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiuli Yang. A scholar is included among the top collaborators of Xiuli Yang 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 Xiuli Yang. Xiuli Yang 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.
Han, Xiaoxiao, Xin Yang, Xiuli Yang, Tingting Liu, & Wenjun He. (2025). NLRP3 Inflammasome Activation Restricts Viral Replication by Inducing Pyroptosis in Chicken HD11 Cells During Infectious Bronchitis Virus Infection. Biology. 14(8). 1049–1049. 1 indexed citations
2.
Lin, Gaofeng, et al.. (2025). Positive feedback regulation between RpoS and BosR in the Lyme disease pathogen. mBio. 16(3). e0276624–e0276624. 2 indexed citations
3.
Zhang, Miaomiao, Jinlong Huang, Xiaochun Zheng, Ping Huang, & Xiuli Yang. (2025). Cost-effectiveness analysis of eribulin versus dacarbazine in patients with advanced liposarcoma. Scientific Reports. 15(1). 2084–2084.
5.
Zhang, Miaomiao, et al.. (2025). Safety assessment of proteasome inhibitors real world adverse event analysis from the FAERS database. Scientific Reports. 15(1). 11628–11628. 2 indexed citations
6.
Barros, Nicolas, et al.. (2024). An IL-23-STAT4 pathway is required for the proinflammatory function of classical dendritic cells during CNS inflammation. Proceedings of the National Academy of Sciences. 121(32). e2400153121–e2400153121. 5 indexed citations
7.
Cui, Entian, et al.. (2024). Unveiling the charge transfer dynamics regulated by bonding evolution in single-atom Pt/C3N5 for boosting hydrogen evolution. Applied Catalysis B: Environmental. 347. 123806–123806. 10 indexed citations
8.
Lybecker, Meghan, et al.. (2024). A Fur family protein BosR is a novel RNA-binding protein that controls rpoS RNA stability in the Lyme disease pathogen. Nucleic Acids Research. 52(9). 5320–5335. 6 indexed citations
9.
Zhang, Junjie, et al.. (2024). BadR directly represses the expression of the glycerol utilization operon in the Lyme disease pathogen. Journal of Bacteriology. 206(2). e0034023–e0034023. 5 indexed citations
10.
Yang, Xiuli, et al.. (2023). The Rrp2-RpoN-RpoS pathway plays an important role in the blood-brain barrier transmigration of the Lyme disease pathogen. Infection and Immunity. 91(11). e0022723–e0022723. 2 indexed citations
11.
Yang, Xiuli, et al.. (2023). Human pathogens in ticks removed from humans in Hebei, China. Heliyon. 9(3). e13859–e13859. 8 indexed citations
12.
Yang, Xiaofeng, Xiaoxue Han, Lu Sun, et al.. (2022). Ferroptosis-related gene expression in the pathogenesis of preeclampsia. Frontiers in Genetics. 13. 927869–927869. 19 indexed citations
13.
Yang, Xiuli, Juraj Koči, Alexis A. Smith, et al.. (2020). A novel tick protein supports integrity of gut peritrophic matrix impacting existence of gut microbiome and Lyme disease pathogens. Cellular Microbiology. 23(2). e13275–e13275. 16 indexed citations
14.
Liu, Qiang, Hai‐Jun Xu, Yan Zhang, et al.. (2020). Role of HK2 in the Enzootic Cycle of Borrelia burgdorferi. Frontiers in Medicine. 7. 573648–573648. 4 indexed citations
15.
Yang, Xiuli, Meghna Thakur, Juraj Koči, et al.. (2017). Analysis of Borrelia burgdorferi Proteome and Protein–Protein Interactions. Methods in molecular biology. 1690. 259–277. 5 indexed citations
16.
Radolf, Justin D., Ranjit K. Deka, Arvind Anand, et al.. (2016). Treponema pallidum, the syphilis spirochete: making a living as a stealth pathogen. PMC. 2 indexed citations
17.
Huang, Ruijie, Jun‐Jie Zhang, Xiuli Yang, & Richard L. Gregory. (2015). PCR-Based Multiple Species Cell Counting for In Vitro Mixed Culture. PLoS ONE. 10(5). e0126628–e0126628. 7 indexed citations
18.
Ye, Meiping, Junjie Zhang, Xin Fang, et al.. (2014). DhhP, a Cyclic di-AMP Phosphodiesterase of Borrelia burgdorferi, Is Essential for Cell Growth and Virulence. IUScholarWorks (Indiana University). 2 indexed citations
19.
Kariu, Toru, Alexis A. Smith, Xiuli Yang, & Utpal Pal. (2013). A Chitin Deacetylase-Like Protein Is a Predominant Constituent of Tick Peritrophic Membrane That Influences the Persistence of Lyme Disease Pathogens within the Vector. PLoS ONE. 8(10). e78376–e78376. 28 indexed citations
20.
Yang, Xiuli, Hooman Izadi, Adam S. Coleman, et al.. (2008). Borrelia burgdorferi lipoprotein BmpA activates pro-inflammatory responses in human synovial cells through a protein moiety. Microbes and Infection. 10(12-13). 1300–1308. 29 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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