Junfeng Guo

3.6k total citations
35 papers, 322 citations indexed

About

Junfeng Guo is a scholar working on Epidemiology, Immunology and Agronomy and Crop Science. According to data from OpenAlex, Junfeng Guo has authored 35 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Epidemiology, 12 papers in Immunology and 7 papers in Agronomy and Crop Science. Recurrent topics in Junfeng Guo's work include Influenza Virus Research Studies (29 papers), Respiratory viral infections research (18 papers) and interferon and immune responses (10 papers). Junfeng Guo is often cited by papers focused on Influenza Virus Research Studies (29 papers), Respiratory viral infections research (18 papers) and interferon and immune responses (10 papers). Junfeng Guo collaborates with scholars based in China, Mongolia and Taiwan. Junfeng Guo's co-authors include Yuelong Shu, Jianfang Zhou, Dayan Wang, Rongbao Gao, Jie Dong, Wenfei Zhu, Bo Hong, Ye Zhang, Xiyan Li and Shumei Zou and has published in prestigious journals such as PLoS ONE, Frontiers in Microbiology and Emerging infectious diseases.

In The Last Decade

Junfeng Guo

33 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junfeng Guo China 10 239 135 116 52 38 35 322
Yuanguo Li China 12 243 1.0× 111 0.8× 181 1.6× 61 1.2× 55 1.4× 30 377
Udayan Joseph Singapore 7 194 0.8× 84 0.6× 96 0.8× 30 0.6× 47 1.2× 7 251
Y. A. Smirnov Russia 9 299 1.3× 108 0.8× 105 0.9× 94 1.8× 77 2.0× 12 353
Malet Aban Australia 7 194 0.8× 27 0.2× 109 0.9× 70 1.3× 32 0.8× 10 271
Ketaki Ganti United States 9 131 0.5× 46 0.3× 71 0.6× 43 0.8× 49 1.3× 13 210
Benjamin S. Chambers United States 7 281 1.2× 49 0.4× 105 0.9× 85 1.6× 152 4.0× 10 414
Mahnaz Minai United States 8 145 0.6× 34 0.3× 130 1.1× 60 1.2× 64 1.7× 13 315
Brandi Livingston United States 9 170 0.7× 39 0.3× 165 1.4× 63 1.2× 90 2.4× 19 350
Matthieu Yver France 8 196 0.8× 35 0.3× 97 0.8× 52 1.0× 127 3.3× 11 362
Matthias Giese Germany 9 120 0.5× 63 0.5× 103 0.9× 60 1.2× 61 1.6× 20 271

Countries citing papers authored by Junfeng Guo

Since Specialization
Citations

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

Fields of papers citing papers by Junfeng Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junfeng Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Junfeng Guo. A scholar is included among the top collaborators of Junfeng Guo 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 Junfeng Guo. Junfeng Guo 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.
Liu, Jing, et al.. (2024). Multiple ultrasonic parametric imaging for the detection and monitoring of high-intensity focused ultrasound ablation. Ultrasonics. 139. 107274–107274. 6 indexed citations
2.
Zhang, Yan, Junfeng Guo, Tao Xu, et al.. (2023). Recent developments and trends of biosensors based on carbon nanotubes for biomedical diagnosis applications: A review. Biosensors and Bioelectronics X. 17. 100424–100424. 8 indexed citations
3.
4.
Lei, Na, Yan Li, Qiang Sun, et al.. (2020). IFITM3 affects the level of antibody response after influenza vaccination. Emerging Microbes & Infections. 9(1). 976–987. 25 indexed citations
5.
Zhu, Wenfei, Zhaomin Feng, Rongbao Gao, et al.. (2018). Substitution of D701N in the PB2 protein could enhance the viral replication and pathogenicity of Eurasian avian-like H1N1 swine influenza viruses. Emerging Microbes & Infections. 7(1). 1–10. 24 indexed citations
6.
Liu, Liqi, Jian Lü, Zi Li, et al.. (2018). 220 mutation in the hemagglutinin of avian influenza A (H7N9) virus alters antigenicity during vaccine strain development. Human Vaccines & Immunotherapeutics. 14(3). 532–539. 7 indexed citations
7.
Li, Xin, Tian Bai, Jianfang Zhou, et al.. (2017). A comprehensive retrospective study of the seroprevalence of H9N2 avian influenza viruses in occupationally exposed populations in China. PLoS ONE. 12(6). e0178328–e0178328. 27 indexed citations
8.
Zhu, Wenfei, Hong Zhang, Li-Li Zhong, et al.. (2016). Reassortant Eurasian Avian-Like Influenza A(H1N1) Virus from a Severely Ill Child, Hunan Province, China, 2015. Emerging infectious diseases. 22(11). 1930–1936. 39 indexed citations
9.
Tang, Jing, Xin Li, Junfeng Guo, et al.. (2016). [Preparation and Identification of High Immunogenic A/PR/8/34 Maternal Strain HA Protein for Influenza Virus Classical Reassortment].. PubMed. 32(2). 141–4. 1 indexed citations
10.
Huang, Jing‐Kai, Xiang Zhao, Yanhui Cheng, et al.. (2015). [Susceptibility of human influenza A (H3N2) viruses to neuraminidase inhibitors isolated during 2011-2012 in China].. PubMed. 49(6). 481–4. 1 indexed citations
11.
Li, Xiyan, Mi Liu, Yousong Peng, et al.. (2015). Antigenic variation of the human influenza A (H3N2) virus during the 2014–2015 winter season. Science China Life Sciences. 58(9). 882–888. 7 indexed citations
12.
Li, Xiyan, Hejiang Wei, Yanhui Cheng, et al.. (2015). [Susceptibility of Influenza B Viruses to Neuraminidase Inhibitors Isolated during 2013-2014 Influenza Season in Mainland China].. PubMed. 31(2). 152–6. 2 indexed citations
13.
Dong, Libo, Bo Hong, Tian Bai, et al.. (2014). A Combination of Serological Assays to Detect Human Antibodies to the Avian Influenza A H7N9 Virus. PLoS ONE. 9(4). e95612–e95612. 13 indexed citations
14.
Huo, Zhiping, Junfeng Guo, Xia Li, & Xiaoping Yu. (2014). Post-fledging dispersal and habitat use of a reintroduced population of the Crested Ibis (Nipponia nippon). Avian Research. 5(1). 17 indexed citations
15.
Zhu, Wenfei, Shuai Yang, Yuan‐ji Guo, et al.. (2013). Imported pigs may have introduced the first classical swine influenza viruses into Mainland China. Infection Genetics and Evolution. 17. 142–146. 6 indexed citations
16.
Lan, Yu, Jing‐Kai Huang, Hongtao Sui, et al.. (2013). [Emerged Pdm09 influenza virus increased purifying selection of seasonal H1N1 influenza virus].. PubMed. 29(2). 143–7. 1 indexed citations
17.
Zou, Shumei, Junfeng Guo, Rongbao Gao, et al.. (2013). Inactivation of the novel avian influenza A (H7N9) virus under physical conditions or chemical agents treatment. Virology Journal. 10(1). 289–289. 48 indexed citations
18.
Du, Ning, Jianfang Zhou, Zi Li, et al.. (2010). Gene Expression Profiles Comparison between 2009 Pandemic and Seasonal H1N1 Influenza Viruses in A549 Cells. Biomedical and Environmental Sciences. 23(4). 259–266. 8 indexed citations
19.
Shu, Yuelong, Ye Zhang, Le-ying Wen, et al.. (2005). [Antigenic and genetic study of hemagglutinin gene of influenza virus (H3N2) circulated in China in 2004].. PubMed. 19(4). 362–5. 3 indexed citations
20.
Zhang, Jing, Ye Zhang, Zi Li, et al.. (2004). [Epidemiologic characteristics of influenza in China, from 2001 to 2003].. PubMed. 25(6). 461–5. 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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