Zhiguang Wu

934 total citations
25 papers, 648 citations indexed

About

Zhiguang Wu is a scholar working on Immunology, Molecular Biology and Small Animals. According to data from OpenAlex, Zhiguang Wu has authored 25 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 7 papers in Molecular Biology and 4 papers in Small Animals. Recurrent topics in Zhiguang Wu's work include Immune Response and Inflammation (10 papers), Immunotherapy and Immune Responses (7 papers) and T-cell and B-cell Immunology (7 papers). Zhiguang Wu is often cited by papers focused on Immune Response and Inflammation (10 papers), Immunotherapy and Immune Responses (7 papers) and T-cell and B-cell Immunology (7 papers). Zhiguang Wu collaborates with scholars based in United Kingdom, Australia and United States. Zhiguang Wu's co-authors include Pete Kaiser, Tuanjun Hu, Lisa Rothwell, Colin Butter, Jim Kaufman, John R. Young, David Hume, Lonneke Vervelde, Fiona M. Tomley and Matthew J. Nolan and has published in prestigious journals such as The Journal of Immunology, Infection and Immunity and Frontiers in Immunology.

In The Last Decade

Zhiguang Wu

24 papers receiving 638 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhiguang Wu United Kingdom 16 313 248 111 100 99 25 648
Liselotte Rothmann Norup Denmark 16 220 0.7× 292 1.2× 71 0.6× 57 0.6× 129 1.3× 36 589
Marianne Goodchild United Kingdom 7 396 1.3× 174 0.7× 86 0.8× 133 1.3× 42 0.4× 8 597
Ján Matiašovic Czechia 16 188 0.6× 127 0.5× 86 0.8× 93 0.9× 64 0.6× 66 714
Yoshihiro Muneta Japan 17 394 1.3× 216 0.9× 189 1.7× 267 2.7× 114 1.2× 68 875
Lieneke I. Bouwman Netherlands 8 321 1.0× 98 0.4× 110 1.0× 141 1.4× 34 0.3× 9 580
Bo Ni China 16 162 0.5× 191 0.8× 128 1.2× 142 1.4× 36 0.4× 37 659
Virginia K. Lowry United States 15 318 1.0× 217 0.9× 112 1.0× 140 1.4× 26 0.3× 20 623
François Lefèvre France 17 161 0.5× 160 0.6× 256 2.3× 66 0.7× 51 0.5× 23 793
Hana Štěpánová Czechia 15 176 0.6× 140 0.6× 95 0.9× 66 0.7× 53 0.5× 35 519
Neda Barjesteh Canada 18 373 1.2× 219 0.9× 112 1.0× 110 1.1× 31 0.3× 30 718

Countries citing papers authored by Zhiguang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhiguang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiguang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiguang Wu. A scholar is included among the top collaborators of Zhiguang Wu 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 Zhiguang Wu. Zhiguang Wu 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
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Wu, Zhiguang, Barbara Shih, Joni Macdonald, et al.. (2023). Development and function of chicken XCR1+ conventional dendritic cells. Frontiers in Immunology. 14. 1273661–1273661. 6 indexed citations
4.
Wu, Zhiguang, Tuanjun Hu, Cosmin Chintoan‐Uta, et al.. (2021). Development of novel reagents to chicken FLT3, XCR1 and CSF2R for the identification and characterization of avian conventional dendritic cells. Immunology. 165(2). 171–194. 16 indexed citations
5.
Kim, Sung‐Won, Katrina Morris, Matthew J. Nolan, et al.. (2021). Kinetics of the Cellular and Transcriptomic Response to Eimeria maxima in Relatively Resistant and Susceptible Chicken Lines. Frontiers in Immunology. 12. 653085–653085. 29 indexed citations
6.
Ma, Junfei, Jingxuan Qiu, Shuying Wang, et al.. (2021). A Novel Design of Multi-epitope Vaccine Against Helicobacter pylori by Immunoinformatics Approach. International Journal of Peptide Research and Therapeutics. 27(2). 1027–1042. 13 indexed citations
7.
Hu, Tuanjun, Zhiguang Wu, Stephen J. Bush, et al.. (2019). Characterization of Subpopulations of Chicken Mononuclear Phagocytes That Express TIM4 and CSF1R. The Journal of Immunology. 202(4). 1186–1199. 29 indexed citations
8.
Wu, Zhiguang, Cosmin Chintoan‐Uta, Tuanjun Hu, et al.. (2019). Regulation and function of macrophage colony-stimulating factor (CSF1) in the chicken immune system. Developmental & Comparative Immunology. 105. 103586–103586. 22 indexed citations
9.
Boulton, Kay, Matthew J. Nolan, Zhiguang Wu, et al.. (2018). Dissecting the Genomic Architecture of Resistance to Eimeria maxima Parasitism in the Chicken. Frontiers in Genetics. 9. 528–528. 20 indexed citations
10.
Boulton, Kay, Matthew J. Nolan, Zhiguang Wu, et al.. (2018). Phenotypic and genetic variation in the response of chickens to Eimeria tenella induced coccidiosis. Genetics Selection Evolution. 50(1). 63–63. 31 indexed citations
11.
Sadeyen, Jean-Rémy, Zhiguang Wu, Pauline M. van Diemen, et al.. (2015). Immune responses associated with homologous protection conferred by commercial vaccines for control of avian pathogenic Escherichia coli in turkeys. Veterinary Research. 46(1). 5–5. 47 indexed citations
12.
Chaussé, Anne‐Marie, Olivier Grépinet, Elisabeth Bottreau, et al.. (2011). Expression of Toll-Like Receptor 4 and Downstream Effectors in Selected Cecal Cell Subpopulations of Chicks Resistant or Susceptible to Salmonella Carrier State. Infection and Immunity. 79(8). 3445–3454. 35 indexed citations
13.
Rothwell, Lisa, Tuanjun Hu, Zhiguang Wu, & Pete Kaiser. (2011). Chicken interleukin-21 is costimulatory for T cells and blocks maturation of dendritic cells. Developmental & Comparative Immunology. 36(2). 475–482. 15 indexed citations
14.
Wu, Zhiguang & Pete Kaiser. (2011). Antigen presenting cells in a non-mammalian model system, the chicken. Immunobiology. 216(11). 1177–1183. 56 indexed citations
15.
Wu, Zhiguang, Tuanjun Hu, & Pete Kaiser. (2010). Chicken CCR6 and CCR7 are markers for immature and mature dendritic cells respectively. Developmental & Comparative Immunology. 35(5). 563–567. 34 indexed citations
16.
Wu, Zhiguang, Lisa Rothwell, John R. Young, et al.. (2009). Generation and characterization of chicken bone marrow‐derived dendritic cells. Immunology. 129(1). 133–145. 124 indexed citations
17.
Wu, Zhiguang, Tuanjun Hu, Colin Butter, & Pete Kaiser. (2009). Cloning and characterisation of the chicken orthologue of dendritic cell-lysosomal associated membrane protein (DC-LAMP). Developmental & Comparative Immunology. 34(2). 183–188. 15 indexed citations
18.
Wu, Zhiguang, Lisa Rothwell, Tuanjun Hu, & Pete Kaiser. (2008). Chicken CD14, unlike mammalian CD14, is trans-membrane rather than GPI-anchored. Developmental & Comparative Immunology. 33(1). 97–104. 27 indexed citations
19.
Kaiser, Pete, Zhiguang Wu, Lisa Rothwell, et al.. (2008). Prospects for understanding immune-endocrine interactions in the chicken. General and Comparative Endocrinology. 163(1-2). 83–91. 47 indexed citations
20.
Fan, Ping, et al.. (1998). [Comparison of nuclear accumulation of p53 protein with mutations in the p53 gene on the tissues of human breast cancer].. PubMed. 36(11). 655–7. 1 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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