Guiquan Guan

4.9k total citations
244 papers, 3.7k citations indexed

About

Guiquan Guan is a scholar working on Parasitology, Ecology, Evolution, Behavior and Systematics and Infectious Diseases. According to data from OpenAlex, Guiquan Guan has authored 244 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 178 papers in Parasitology, 102 papers in Ecology, Evolution, Behavior and Systematics and 96 papers in Infectious Diseases. Recurrent topics in Guiquan Guan's work include Vector-borne infectious diseases (174 papers), Vector-Borne Animal Diseases (92 papers) and Viral Infections and Vectors (88 papers). Guiquan Guan is often cited by papers focused on Vector-borne infectious diseases (174 papers), Vector-Borne Animal Diseases (92 papers) and Viral Infections and Vectors (88 papers). Guiquan Guan collaborates with scholars based in China, France and Germany. Guiquan Guan's co-authors include Hong Yin, Jianxun Luo, Youquan Li, Zhijie Liu, Junlong Liu, Jifei Yang, Qiaoyun Ren, Aihong Liu, Miling Ma and Guangyuan Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Guiquan Guan

231 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guiquan Guan China 32 3.0k 1.9k 1.7k 954 494 244 3.7k
Glen A. Scoles United States 38 3.4k 1.1× 1.9k 1.0× 1.7k 1.0× 1.8k 1.8× 411 0.8× 114 4.2k
Leonhard Schnittger Argentina 29 2.7k 0.9× 1.6k 0.8× 1.5k 0.9× 673 0.7× 264 0.5× 108 3.3k
Consuelo Almazán United States 40 3.2k 1.1× 1.9k 1.0× 1.8k 1.1× 1.4k 1.5× 323 0.7× 80 3.8k
Ard M. Nijhof Germany 35 2.7k 0.9× 2.0k 1.1× 1.7k 1.0× 804 0.8× 268 0.5× 94 3.2k
Jabbar S. Ahmed Germany 32 2.5k 0.9× 1.4k 0.7× 1.6k 0.9× 807 0.8× 300 0.6× 135 3.0k
Abdalla A. Latif South Africa 25 2.4k 0.8× 1.6k 0.9× 1.6k 1.0× 748 0.8× 354 0.7× 95 3.0k
Alejandro Cabezas‐Cruz France 36 3.2k 1.1× 2.1k 1.1× 1.3k 0.8× 1.5k 1.6× 263 0.5× 248 4.8k
Philip E. Stewart United States 29 2.6k 0.9× 1.7k 0.9× 899 0.5× 1.2k 1.2× 402 0.8× 57 3.3k
Victoria Naranjo Spain 37 2.5k 0.8× 2.1k 1.1× 1.4k 0.8× 883 0.9× 164 0.3× 59 3.4k
Massaro W. Ueti United States 30 2.3k 0.8× 1.0k 0.6× 1.2k 0.7× 864 0.9× 295 0.6× 118 2.6k

Countries citing papers authored by Guiquan Guan

Since Specialization
Citations

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

Fields of papers citing papers by Guiquan Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guiquan Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Guiquan Guan. A scholar is included among the top collaborators of Guiquan Guan 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 Guiquan Guan. Guiquan Guan 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.
Feng, Jing, Guiquan Guan, Xiaoling Wu, et al.. (2025). Phylogeny and taxonomy of Acer powdery mildews, including genera Sawadaea and Takamatsuella ( Erysiphaceae , Ascomycota ). Studies in Mycology. 112(1). 1–38.
2.
Fan, Jie, Hualin Sun, Jifei Yang, et al.. (2025). Transcriptome Profiling Reveals That the African Swine Fever Virus C315R Exploits the IL-6 STAT3 Signaling Axis to Facilitate Virus Replication. Viruses. 17(3). 309–309. 1 indexed citations
3.
Ren, Qiaoyun, Jin Luo, Muhammad Rashid, et al.. (2025). Evaluation of fipronil efficacy and first molecular report of gamma-aminobutyric acid (GABA) gated chloride channel gene of Rhipicephalus microplus ticks in China and Pakistan. Veterinary Parasitology. 334. 110407–110407. 2 indexed citations
4.
5.
Wang, Jinming, Yijun Chai, Jifei Yang, et al.. (2024). Dissecting the role of transcription factor AP2 ‐M in Babesia asexual replication. The FASEB Journal. 38(20). e70119–e70119.
6.
7.
Tian, Zhancheng, Junzheng Du, Shandian Gao, et al.. (2023). The GTPase activity and isoprenylation of Swine GBP1 are critical for inhibiting the production of Japanese Encephalitis Virus. Veterinary Microbiology. 284. 109843–109843.
8.
Wang, Yanbo, Xiaoyun Li, Junlong Liu, et al.. (2023). A high-resolution melting approach for the simultaneous differentiation of five human babesiosis–causing Babesia species. Parasites & Vectors. 16(1). 299–299. 2 indexed citations
9.
Wang, Jinming, Xiaoyun Li, Yanbo Wang, et al.. (2023). Babeisa duncani infection alters gut microbiota profile in hamsters. PubMed. 61(1). 42–52. 3 indexed citations
10.
Ren, Qiaoyun, Haiyan Lu, Ze Chen, et al.. (2022). Joint toxicity of insecticides against Hyalomma asiaticum. Experimental Parasitology. 245. 108438–108438. 2 indexed citations
11.
Jia, Dan, Ya Wang, Jiahui Wang, et al.. (2021). Lactobacillus animalis pZL8a: a potential probiotic isolated from pig feces for further research. 3 Biotech. 11(3). 132–132. 13 indexed citations
12.
Wang, Ya, Dan Jia, Jiahui Wang, et al.. (2021). Assessment of probiotic adhesion and inhibitory effect on Escherichia coli and Salmonella adhesion. Archives of Microbiology. 203(10). 6267–6274. 17 indexed citations
13.
Wang, Jinming, Shandian Gao, Junlong Liu, et al.. (2020). Rapid detection of Babesia motasi responsible for human babesiosis by cross-priming amplification combined with a vertical flow. Parasites & Vectors. 13(1). 12 indexed citations
14.
Li, Youquan, Xuan Li, Dan Jia, et al.. (2020). Complete genome sequence and antimicrobial activity of Bacillus velezensis JT3-1, a microbial germicide isolated from yak feces. 3 Biotech. 10(5). 231–231. 18 indexed citations
15.
Niu, Qingli, Zhijie Liu, Jifei Yang, et al.. (2017). Genetic characterization and molecular survey of Babesia sp. Xinjiang infection in small ruminants and ixodid ticks in China. Infection Genetics and Evolution. 49. 330–335. 15 indexed citations
16.
Yang, Jifei, Zhijie Liu, Guiquan Guan, et al.. (2015). Comprehensive surveillance of the antibody response to Borrelia burgdorferi s.l. in small ruminants in China. SHILAP Revista de lepidopterología. 1 indexed citations
17.
18.
Wu, Qiong, Guiquan Guan, Zhijie Liu, et al.. (2015). RNA-Seq-based analysis of changes in Borrelia burgdorferi gene expression linked to pathogenicity. Parasites & Vectors. 8(1). 155–155. 7 indexed citations
19.
Fu, Yuguang, Guiquan Guan, Qingli Niu, et al.. (2012). Development of Real-Time Polymerase Chain Reaction for Detection of Borrelia burgdorferi sensu lato in China. Vector-Borne and Zoonotic Diseases. 12(5). 341–345. 3 indexed citations
20.
Yin, Hong, Guangyuan Liu, Jianxun Luo, et al.. (2003). Observation on the schizont stage of an unidentified Theileria sp. in experimentally infected sheep. Parasitology Research. 91(1). 34–39. 21 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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