Chang-Jun Guo

948 total citations
40 papers, 787 citations indexed

About

Chang-Jun Guo is a scholar working on Immunology, Molecular Biology and Cell Biology. According to data from OpenAlex, Chang-Jun Guo has authored 40 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Immunology, 14 papers in Molecular Biology and 9 papers in Cell Biology. Recurrent topics in Chang-Jun Guo's work include interferon and immune responses (17 papers), Aquaculture disease management and microbiota (11 papers) and Erythrocyte Function and Pathophysiology (6 papers). Chang-Jun Guo is often cited by papers focused on interferon and immune responses (17 papers), Aquaculture disease management and microbiota (11 papers) and Erythrocyte Function and Pathophysiology (6 papers). Chang-Jun Guo collaborates with scholars based in China, United States and Hong Kong. Chang-Jun Guo's co-authors include Jianguo He, Shaoping Weng, Xiao‐Qiang Yu, Lishi Yang, Yanyan Wu, Shu Mi, Zhi-Xin Yin, Kuntong Jia, Xiande Huang and Siu‐Ming Chan and has published in prestigious journals such as PLoS ONE, Journal of Virology and Scientific Reports.

In The Last Decade

Chang-Jun Guo

38 papers receiving 782 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang-Jun Guo China 16 529 209 125 94 80 40 787
Quanyuan Wan China 19 793 1.5× 394 1.9× 130 1.0× 52 0.6× 225 2.8× 45 1.2k
Karen P. Plant United States 12 478 0.9× 256 1.2× 113 0.9× 63 0.7× 30 0.4× 15 779
Søren Kahns Denmark 13 229 0.4× 408 2.0× 63 0.5× 150 1.6× 75 0.9× 19 711
Simon Chioma Weli Norway 18 325 0.6× 203 1.0× 55 0.4× 127 1.4× 114 1.4× 36 746
Julia Béjar Spain 18 562 1.1× 266 1.3× 29 0.2× 113 1.2× 68 0.8× 51 863
Yaowaluck Maprang Roshorm Thailand 13 407 0.8× 314 1.5× 15 0.1× 37 0.4× 75 0.9× 20 735
Brantley R. Herrin United States 18 969 1.8× 394 1.9× 36 0.3× 19 0.2× 32 0.4× 32 1.3k
Vanessa Taupin United States 12 256 0.5× 597 2.9× 29 0.2× 118 1.3× 128 1.6× 15 1.0k
Samuel T. Workenhe Canada 20 689 1.3× 360 1.7× 65 0.5× 158 1.7× 182 2.3× 31 1.3k
Tomomi Nakahara Japan 19 181 0.3× 408 2.0× 104 0.8× 34 0.4× 58 0.7× 40 1.1k

Countries citing papers authored by Chang-Jun Guo

Since Specialization
Citations

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

Fields of papers citing papers by Chang-Jun Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang-Jun Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Chang-Jun Guo. A scholar is included among the top collaborators of Chang-Jun 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 Chang-Jun Guo. Chang-Jun 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.
2.
Xu, Yichun, et al.. (2024). Rapid, sensitive, and visual detection of mandarin fish ranavirus and infectious spleen and kidney necrosis virus using an RPA-CRISPR/Cas12a system. Frontiers in Microbiology. 15. 1495777–1495777. 5 indexed citations
3.
Li, Zhimin, et al.. (2024). Viral genomic methylation and the interspecies evolutionary relationships of ranavirus. PLoS Pathogens. 20(11). e1012736–e1012736. 2 indexed citations
4.
Weng, Shaoping, et al.. (2024). Hypermethylated genome of a fish vertebrate iridovirus ISKNV plays important roles in viral infection. Communications Biology. 7(1). 237–237. 9 indexed citations
5.
Qian, Z., et al.. (2024). Ring finger protein 5 mediates STING degradation through ubiquitinating K135 and K155 in a teleost fish. Frontiers in Immunology. 15. 1525376–1525376.
6.
Pan, Hongbo, et al.. (2023). Development and characterization of a spleen cell line from yellowfin seabream Acanthopagrus latus and its susceptibility to Mandarinfish ranavirus. Journal of Fish Diseases. 46(11). 1173–1181. 3 indexed citations
7.
He, Jian, Wenhui Liu, Zhimin Li, et al.. (2023). Molecular Characterization and Functional Analysis of Hypoxia-Responsive Factor Prolyl Hydroxylase Domain 2 in Mandarin Fish (Siniperca chuatsi). Animals. 13(9). 1556–1556. 7 indexed citations
8.
Liu, Chang, et al.. (2020). Roles of extracellular matrix components in Tiger frog virus attachment to fathead minnow (Pimephales promelas) cells. Fish & Shellfish Immunology. 107(Pt A). 9–15. 2 indexed citations
9.
He, Jian, Yang Yu, Chang Liu, et al.. (2020). The roles of mandarin fish STING in innate immune defense against Infectious spleen and kidney necrosis virus infections. Fish & Shellfish Immunology. 100. 80–89. 19 indexed citations
10.
Yu, Yang, Yuanyuan Wang, Zhimin Li, et al.. (2019). Identification and functional analysis of the Mandarin fish (Siniperca chuatsi) hypoxia-inducible factor-1α involved in the immune response. Fish & Shellfish Immunology. 92. 141–150. 33 indexed citations
11.
Lin, Yi‐Fan, Jian He, Zhimin Li, et al.. (2019). Deletion of the Infectious spleen and kidney necrosis virus ORF069L reduces virulence to mandarin fish Siniperca chuatsi. Fish & Shellfish Immunology. 95. 328–335. 15 indexed citations
12.
Guo, Chang-Jun, et al.. (2018). The immune evasion strategies of fish viruses. Fish & Shellfish Immunology. 86. 772–784. 26 indexed citations
13.
Kang, Hui, Kai Yang, Lianbo Xiao, et al.. (2017). Osteoblast Hypoxia-Inducible Factor-1α Pathway Activation Restrains Osteoclastogenesis via the Interleukin-33-MicroRNA-34a-Notch1 Pathway. Frontiers in Immunology. 8. 1312–1312. 36 indexed citations
14.
Mi, Shu, Yi‐Fan Lin, Jian He, et al.. (2016). Budding of Tiger Frog Virus (an Iridovirus) from HepG2 Cells via Three Ways Recruits the ESCRT Pathway. Scientific Reports. 6(1). 26581–26581. 11 indexed citations
15.
16.
Chen, Nannan, Shu Mi, Jian He, et al.. (2016). Tiger frog virus ORF080L protein interacts with LITAF and impairs EGF-induced EGFR degradation. Virus Research. 217. 133–142. 3 indexed citations
17.
Liu, Zhaoyu, Kuntong Jia, Chuan Li, et al.. (2013). A truncated Danio rerio PKZ isoform functionally interacts with eIF2α and inhibits protein synthesis. Gene. 527(1). 292–300. 11 indexed citations
18.
Jia, Kuntong, Zhaoyu Liu, Chang-Jun Guo, et al.. (2013). The potential role of microfilaments in host cells for infection with infectious spleen and kidney necrosis virus infection. Virology Journal. 10(1). 77–77. 10 indexed citations
19.
Guo, Chang-Jun, Xiaobo Yang, Yanyan Wu, et al.. (2011). Involvement of caveolin-1 in the Jak–Stat signaling pathway and infectious spleen and kidney necrosis virus infection in mandarin fish (Siniperca chuatsi). Molecular Immunology. 48(8). 992–1000. 20 indexed citations
20.
Guo, Chang-Jun, Lishi Yang, Xiaobo Yang, et al.. (2009). The JAK and STAT family members of the mandarin fish Siniperca chuatsi: Molecular cloning, tissues distribution and immunobiological activity. Fish & Shellfish Immunology. 27(2). 349–359. 67 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Quanyuan Wan Breakdown of academic impact, for papers by Karen P. Plant Breakdown of academic impact, for papers by Søren Kahns Breakdown of academic impact, for papers by Simon Chioma Weli Breakdown of academic impact, for papers by Julia Béjar Breakdown of academic impact, for papers by Yaowaluck Maprang Roshorm Breakdown of academic impact, for papers by Brantley R. Herrin Breakdown of academic impact, for papers by Vanessa Taupin Breakdown of academic impact, for papers by Samuel T. Workenhe Breakdown of academic impact, for papers by Tomomi Nakahara
Rankless by CCL
2026