Deyong Chu

519 total citations
24 papers, 339 citations indexed

About

Deyong Chu is a scholar working on Parasitology, Epidemiology and Immunology. According to data from OpenAlex, Deyong Chu has authored 24 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Parasitology, 5 papers in Epidemiology and 5 papers in Immunology. Recurrent topics in Deyong Chu's work include Parasites and Host Interactions (11 papers), Toxoplasma gondii Research Studies (10 papers) and Macrophage Migration Inhibitory Factor (4 papers). Deyong Chu is often cited by papers focused on Parasites and Host Interactions (11 papers), Toxoplasma gondii Research Studies (10 papers) and Macrophage Migration Inhibitory Factor (4 papers). Deyong Chu collaborates with scholars based in China, Ghana and Australia. Deyong Chu's co-authors include Jilong Shen, Robin B. Gasser, Domenico Otranto, Qiang Wu, Cinzia Cantacessi, Yuanhong Xu, Li Yu, Ji-Long Shen, Zhengrong Zhong and Qingli Luo and has published in prestigious journals such as PLoS ONE, Frontiers in Immunology and Frontiers in Microbiology.

In The Last Decade

Deyong Chu

24 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deyong Chu China 10 183 95 74 74 52 24 339
Ulrike K. Hahn United States 8 155 0.8× 30 0.3× 152 2.1× 74 1.0× 65 1.3× 10 421
Adil Mergani Sudan 11 357 2.0× 42 0.4× 106 1.4× 127 1.7× 66 1.3× 23 626
J. A. Lenzi Brazil 11 275 1.5× 42 0.4× 104 1.4× 36 0.5× 33 0.6× 16 346
Maria Habib India 9 208 1.1× 27 0.3× 97 1.3× 35 0.5× 18 0.3× 17 378
Chao-Ming Xia China 8 257 1.4× 28 0.3× 181 2.4× 25 0.3× 28 0.5× 15 332
Xiaodi Yang China 9 160 0.9× 94 1.0× 42 0.6× 32 0.4× 101 1.9× 29 352
Alice Costain United Kingdom 8 194 1.1× 42 0.4× 100 1.4× 18 0.2× 58 1.1× 11 335
Xunya Hou China 11 205 1.1× 24 0.3× 97 1.3× 37 0.5× 30 0.6× 15 286
Ivana Ferreira Australia 8 276 1.5× 110 1.2× 92 1.2× 54 0.7× 79 1.5× 11 442
A A Mahmoud United States 9 283 1.5× 58 0.6× 113 1.5× 39 0.5× 103 2.0× 12 471

Countries citing papers authored by Deyong Chu

Since Specialization
Citations

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

Fields of papers citing papers by Deyong Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deyong Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Deyong Chu. A scholar is included among the top collaborators of Deyong Chu 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 Deyong Chu. Deyong Chu 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.
Yang, Di, Qing Tao, Lei Liu, et al.. (2024). Knockdown of DJ-1 Exacerbates Neuron Apoptosis Induced by TgCtwh3 through the NF-κB Pathway. Molecular Neurobiology. 62(1). 123–136. 2 indexed citations
2.
Tao, Qing, Di Yang, Lei Liu, et al.. (2023). Studies on the mechanism of Toxoplasma gondii Chinese 1 genotype Wh6 strain causing mice abnormal cognitive behavior. Parasites & Vectors. 16(1). 30–30. 7 indexed citations
3.
Wang, Yang, Jingyang Li, Qingli Luo, et al.. (2021). Differential expression of TgMIC1 in isolates of Chinese 1 Toxoplasma with different virulence. Parasites & Vectors. 14(1). 253–253. 2 indexed citations
4.
Tao, Qing, Lei Liu, Yongsheng Ji, et al.. (2020). Toxoplasma gondii Chinese I genotype Wh6 strain infection induces tau phosphorylation via activating GSK3β and causes hippocampal neuron apoptosis. Acta Tropica. 210. 105560–105560. 9 indexed citations
5.
Wang, Yang, Jingyang Li, Qingli Luo, et al.. (2020). Production and characterization of monoclonal antibodies against Toxoplasma gondii ROP18 with strain-specific reactivity. Parasitology. 147(9). 940–948. 6 indexed citations
6.
Liu, Kang, Haijian Cai, Ran An, et al.. (2019). Protective Effect Against Toxoplasmosis in BALB/c Mice Vaccinated With Toxoplasma gondii Macrophage Migration Inhibitory Factor. Frontiers in Microbiology. 10. 813–813. 10 indexed citations
7.
Liu, Lei, Mengmeng Jin, Qing Tao, et al.. (2018). Effective Amelioration of Liver Fibrosis Through Lentiviral Vector Carrying Toxoplasma gondii gra15II in Murine Model. Frontiers in Immunology. 9. 1572–1572. 10 indexed citations
8.
Pappoe, Faustina, Weisheng Cheng, Lin Wang, et al.. (2017). Prevalence of Toxoplasma gondii infection in HIV-infected patients and food animals and direct genotyping of T. gondii isolates, Southern Ghana. Parasitology Research. 116(6). 1675–1685. 16 indexed citations
9.
Xie, Yuanyuan, Huiqin Wen, Ke Yan, et al.. (2016). Toxoplasma gondii GRA15II effector-induced M1 cells ameliorate liver fibrosis in mice infected with Schistosomiasis japonica. Cellular and Molecular Immunology. 15(2). 120–134. 17 indexed citations
10.
Chu, Deyong, et al.. (2014). CTL induction by DNA vaccine with Toxoplasma gondii-HSP70 gene. Parasitology International. 63(2). 408–416. 15 indexed citations
11.
12.
Zhang, Aimei, Qian Shen, Min Li, et al.. (2013). Comparative studies of macrophage-biased responses in mice to infection with Toxoplasma gondii ToxoDB #9 strains of different virulence isolated from China. Parasites & Vectors. 6(1). 308–308. 19 indexed citations
13.
Yao, Qi, Xiaorong Song, Jilong Shen, et al.. (2012). Tim-2 up-regulation and galectin-9-Tim-3 pathway activation in Th2-biased response in Schistosoma japonicum infection in mice. Immunology Letters. 144(1-2). 60–66. 7 indexed citations
14.
Shen, Jilong, et al.. (2011). [Inhibitory effect of paeoniflorin on the collagen production by fibroblasts through IL-13/STAT6 signaling pathway].. PubMed. 29(2). 93–8. 1 indexed citations
15.
Chu, Deyong, et al.. (2011). Paeoniflorin attenuates schistosomiasis japonica-associated liver fibrosis through inhibiting alternative activation of macrophages. Parasitology. 138(10). 1259–1271. 32 indexed citations
16.
Song, Xiaorong, Ji-Long Shen, Huiqin Wen, et al.. (2011). Impact of Schistosoma japonicum Infection on Collagen-Induced Arthritis in DBA/1 Mice: A Murine Model of Human Rheumatoid Arthritis. PLoS ONE. 6(8). e23453–e23453. 57 indexed citations
17.
Chu, Deyong, Fei Luo, Meijuan Zheng, et al.. (2008). [Effect of paeoniflorin on secretion of TGF-beta1 from macrophages in mice].. PubMed. 26(2). 81–5. 3 indexed citations
18.
Chu, Deyong, Yang Feng, Qiang Wu, et al.. (2008). [Effect of paeoniflorin on hepatic immunopathogenesis in mice with Schistosoma japonicum infection].. PubMed. 26(1). 10–5, 20. 1 indexed citations
19.
Chu, Deyong, Qingli Luo, Yi Gao, et al.. (2007). Paeoniflorin inhibits TGF-β1-mediated collagen production bySchistosoma japonicumsoluble egg antigenin vitro. Parasitology. 134(11). 1611–1621. 32 indexed citations
20.
Shen, Jilong, et al.. (2006). Human Thelaziosis—A Neglected Parasitic Disease of the Eye. Journal of Parasitology. 92(4). 872–876. 82 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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