Jun Jiao

921 total citations
45 papers, 688 citations indexed

About

Jun Jiao is a scholar working on Parasitology, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, Jun Jiao has authored 45 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Parasitology, 18 papers in Public Health, Environmental and Occupational Health and 16 papers in Infectious Diseases. Recurrent topics in Jun Jiao's work include Vector-borne infectious diseases (27 papers), Mosquito-borne diseases and control (17 papers) and Viral Infections and Vectors (13 papers). Jun Jiao is often cited by papers focused on Vector-borne infectious diseases (27 papers), Mosquito-borne diseases and control (17 papers) and Viral Infections and Vectors (13 papers). Jun Jiao collaborates with scholars based in China, Belarus and United States. Jun Jiao's co-authors include Xiaolu Xiong, Bohai Wen, Wenping Gong, Yong Qi, Baoxia Cui, Dongsheng Zhou, Xinlin Jiao, Teng Zhang, Xiaomei Yang and Beihua Kong and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jun Jiao

42 papers receiving 681 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Jiao China 17 314 197 178 168 134 45 688
Andreas Pilz United States 18 280 0.9× 306 1.6× 164 0.9× 126 0.8× 356 2.7× 51 923
Carlos Cabello-Gutiérrez Mexico 16 107 0.3× 252 1.3× 161 0.9× 151 0.9× 128 1.0× 47 736
Jérôme Dellacasagrande France 12 242 0.8× 176 0.9× 129 0.7× 144 0.9× 261 1.9× 16 647
Joseph A. Gebbia United States 9 408 1.3× 291 1.5× 90 0.5× 151 0.9× 116 0.9× 9 639
Dalit Talmi-Frank Israel 17 411 1.3× 377 1.9× 97 0.5× 407 2.4× 64 0.5× 23 1.0k
Charles Buscarino United States 12 494 1.6× 474 2.4× 222 1.2× 121 0.7× 161 1.2× 15 1.0k
Qiang Wei China 14 175 0.6× 514 2.6× 505 2.8× 90 0.5× 371 2.8× 51 1.3k
Elizabeth S. Gabitzsch United States 17 116 0.4× 216 1.1× 145 0.8× 54 0.3× 271 2.0× 29 632
Mariana R. Dominguez Brazil 16 206 0.7× 125 0.6× 101 0.6× 223 1.3× 192 1.4× 29 566
Aruna K. Behera United States 20 256 0.8× 317 1.6× 224 1.3× 60 0.4× 351 2.6× 27 1.2k

Countries citing papers authored by Jun Jiao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Jiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Jiao

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Jiao. A scholar is included among the top collaborators of Jun Jiao 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 Jun Jiao. Jun Jiao 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.
Li, Nana, Huiying Yang, Shan Zhang, et al.. (2025). COPB1-knockdown induced type I interferon signaling activation inhibits Chlamydia psittaci intracellular proliferation. Frontiers in Microbiology. 16. 1566239–1566239.
2.
Zhang, Shan, et al.. (2024). Lysosomal trafficking regulator restricts intracellular growth of Coxiella burnetii by inhibiting the expansion of Coxiella-containing vacuole and upregulating nos2 expression. Frontiers in Cellular and Infection Microbiology. 13. 1336600–1336600. 2 indexed citations
3.
Zhang, Shan, et al.. (2024). Autophagy: the misty lands of Chlamydia trachomatis infection. Frontiers in Cellular and Infection Microbiology. 14. 1442995–1442995. 3 indexed citations
4.
Li, Dan, et al.. (2023). Advances in genetic manipulation of Chlamydia trachomatis. Frontiers in Immunology. 14. 1209879–1209879. 9 indexed citations
5.
Qi, Yong, Lele Ai, Jun Jiao, et al.. (2022). High prevalence of Rickettsia spp. in ticks from wild hedgehogs rather than domestic bovine in Jiangsu province, Eastern China. Frontiers in Cellular and Infection Microbiology. 12. 954785–954785. 16 indexed citations
6.
Jiao, Jun, Yong Qi, Peisheng He, et al.. (2022). Development of a Lateral Flow Strip-Based Recombinase-Aided Amplification for Active Chlamydia psittaci Infection. Frontiers in Microbiology. 13. 928025–928025. 4 indexed citations
7.
Wu, Qingyuan, Fengrong Zhang, Xueting Pan, et al.. (2021). Surface Wettability of Nanoparticle Modulated Sonothrombolysis. Advanced Materials. 33(25). e2007073–e2007073. 44 indexed citations
8.
Jiao, Xinlin, Siying Zhang, Jun Jiao, et al.. (2019). Promoter methylation of SEPT9 as a potential biomarker for early detection of cervical cancer and its overexpression predicts radioresistance. Clinical Epigenetics. 11(1). 120–120. 79 indexed citations
9.
Hu, Xueyuan, Junxia Feng, Mengjiao Fu, et al.. (2019). Pathologic changes and immune responses against Coxiella burnetii in mice following infection via non-invasive intratracheal inoculation. PLoS ONE. 14(12). e0225671–e0225671. 7 indexed citations
10.
Jiao, Xinlin, et al.. (2018). Increased expression of FHL2 promotes tumorigenesis in cervical cancer and is correlated with poor prognosis. Gene. 669. 99–106. 15 indexed citations
11.
Wang, Pengcheng, Xiaolu Xiong, Jun Jiao, et al.. (2017). Th1 epitope peptides induce protective immunity against Rickettsia rickettsii infection in C3H/HeN mice. Vaccine. 35(51). 7204–7212. 19 indexed citations
12.
Yang, Xiaomei, Jun Jiao, Gencheng Han, et al.. (2015). Enhanced Expression of T-Cell Immunoglobulin and Mucin Domain Protein 3 in Endothelial Cells Facilitates Intracellular Killing ofRickettsia heilongjiangensis. The Journal of Infectious Diseases. 213(1). 71–79. 7 indexed citations
14.
Zhang, Wenjing, Xinli Tian, Jun Jiao, et al.. (2015). The existence of Th22, pure Th17 and Th1 cells in CIN and Cervical Cancer along with their frequency variation in different stages of cervical cancer. BMC Cancer. 15(1). 717–717. 31 indexed citations
15.
Gong, Wenping, et al.. (2014). Identification of Novel Surface-Exposed Proteins of Rickettsia rickettsii by Affinity Purification and Proteomics. PLoS ONE. 9(6). e100253–e100253. 25 indexed citations
16.
Xiong, Xiaolu, et al.. (2014). Exploratory Study on Th1 Epitope-Induced Protective Immunity against Coxiella burnetii Infection. PLoS ONE. 9(1). e87206–e87206. 39 indexed citations
17.
Qi, Yong, Wenping Gong, Xiaolu Xiong, et al.. (2014). Microarray of surface-exposed proteins of rickettsia heilongjiangensisfor serodiagnosis of Far-eastern spotted fever. BMC Infectious Diseases. 14(1). 332–332. 5 indexed citations
18.
Zhang, Wenjing, Fei Hou, Yan Zhang, et al.. (2014). Changes of Th17/Tc17 and Th17/Treg cells in endometrial carcinoma. Gynecologic Oncology. 132(3). 599–605. 31 indexed citations
19.
Xiong, Xiaolu, et al.. (2014). Genomic and comparative genomic analyses of Rickettsia heilongjiangensis provide insight into its evolution and pathogenesis. Infection Genetics and Evolution. 26. 274–282. 5 indexed citations
20.
Jiao, Jun. (2008). Evaluation of Night Soil Treatment Efficiency of "Three-Grille-Mode" Septic Tanks in the Rural Area of Jiangsu. Shengtai yu nongcun huanjing xuebao. 5 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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