Deyong Chu
Impact in
- Parasitology top 2%
- Parasites and Host Interactions
- Toxoplasma gondii Research Studies
- Parasitic Infections and Diagnostics
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- Parasitic Diseases Research and Treatment
Papers in
- Parasitology 19
- Toxoplasma gondii Research Studies 13
- Parasites and Host Interactions 8
- Parasitic Infections and Diagnostics 2
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- Macrophage Migration Inhibitory Factor 4
- interferon and immune responses 2
- Co-authors
- Jilong Shen (19 shared papers)Domenico Otranto (1 shared paper)Cinzia Cantacessi (1 shared paper)Qiang Wu (5 shared papers)Robin B. Gasser (1 shared paper)Yuanhong Xu (5 shared papers)Qingli Luo (11 shared papers)Li Yu (11 shared papers)
In The Last Decade
Deyong Chu
26 papers receiving 351 citations
Peers
Comparison fields: 5 of 58
- Parasitology 194
- Infectious Diseases 93
- Hepatology 26
- Pharmacology 28
- Ecology 65
Countries citing papers authored by Deyong Chu
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
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-authors
The 25 scholars most cited alongside Deyong Chu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 82 | |
| 2 | 2011 | 58 | |
| 3 | 2011 | 33 | |
| 4 | 2007 | 32 | |
| 5 | 2016 | 20 | |
| 6 | 2013 | 19 | |
| 7 | 2017 | 16 | |
| 8 | 2014 | 15 | |
| 9 | 2018 | 11 | |
| 10 | 2020 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2019 | 10 | |
| 13 | 2012 | 8 | |
| 14 | 2020 | 6 | |
| 15 | 2014 | 4 | |
| 16 | 2024 | 3 | |
| 17 | [Effect of paeoniflorin on secretion of TGF-beta1 from macrophages in mice]. | 2008 | 3 |
| 18 | 2008 | 3 | |
| 19 | 2021 | 3 | |
| 20 | [Secreted expression of signaling protein 14-3-3 of Schistosoma japonicum in Pichia pastoris system with primary evaluation on its antigenicity]. | 2007 | 2 |
About Deyong Chu
Deyong Chu is a scholar working on Parasitology, Immunology, Epidemiology, Hepatology and Infectious Diseases, having authored 26 papers that have together received 354 indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (13 papers), Parasites and Host Interactions (8 papers), Macrophage Migration Inhibitory Factor (4 papers), Amoebic Infections and Treatments (2 papers), Liver Disease and Transplantation (2 papers), Liver physiology and pathology (2 papers), interferon and immune responses (2 papers) and Parasitic Infections and Diagnostics (2 papers). The work is most often cited by research in Parasitology (194 citations), Infectious Diseases (93 citations), Hepatology (26 citations), Pharmacology (28 citations) and Ecology (65 citations). Deyong Chu has collaborated with scholars based in China, Ghana and Italy. Frequent co-authors include Jilong Shen, Domenico Otranto, Cinzia Cantacessi, Qiang Wu, Robin B. Gasser, Yuanhong Xu, Qingli Luo, Li Yu, Ji-Long Shen and Zhengrong Zhong. Their work appears in journals such as Parasitology, Parasites & Vectors, Cellular and Molecular Immunology, Experimental Parasitology and Molecular Neurobiology.
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.