Chen-Yi Chiang

466 total citations
24 papers, 364 citations indexed

About

Chen-Yi Chiang is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Chen-Yi Chiang has authored 24 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Infectious Diseases, 10 papers in Public Health, Environmental and Occupational Health and 8 papers in Molecular Biology. Recurrent topics in Chen-Yi Chiang's work include Mosquito-borne diseases and control (10 papers), Viral Infections and Vectors (8 papers) and Viral Infections and Outbreaks Research (7 papers). Chen-Yi Chiang is often cited by papers focused on Mosquito-borne diseases and control (10 papers), Viral Infections and Vectors (8 papers) and Viral Infections and Outbreaks Research (7 papers). Chen-Yi Chiang collaborates with scholars based in Taiwan. Chen-Yi Chiang's co-authors include Hsin–Wei Chen, Shih‐Jen Liu, Chih‐Hsiang Leng, Mei‐Yu Chen, Pele Chong, Hsueh‐Hung Liu, Jy-Ping Tsai, Chien-Hsiung Pan, Ching‐Len Liao and Huimei Hu and has published in prestigious journals such as PLoS ONE, Journal of Virology and Scientific Reports.

In The Last Decade

Chen-Yi Chiang

23 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chen-Yi Chiang Taiwan 11 210 195 80 74 72 24 364
C.I. Baldwin United Kingdom 10 99 0.5× 233 1.2× 105 1.3× 59 0.8× 54 0.8× 21 528
Kaustuv Nayak India 12 205 1.0× 141 0.7× 112 1.4× 51 0.7× 54 0.8× 22 362
Wy Ching Ng Australia 13 132 0.6× 89 0.5× 179 2.2× 93 1.3× 210 2.9× 20 427
Lucas J. Adams United States 12 410 2.0× 123 0.6× 127 1.6× 86 1.2× 118 1.6× 22 552
Kathrina Quinn United States 6 359 1.7× 93 0.5× 165 2.1× 81 1.1× 115 1.6× 7 530
Qingrui Huang China 12 246 1.2× 106 0.5× 154 1.9× 150 2.0× 93 1.3× 23 514
Ayesa Syenina Singapore 10 332 1.6× 198 1.0× 31 0.4× 61 0.8× 129 1.8× 14 478
W Kell United States 9 454 2.2× 115 0.6× 157 2.0× 52 0.7× 148 2.1× 9 664
Amanda Phelps United Kingdom 11 169 0.8× 76 0.4× 91 1.1× 88 1.2× 41 0.6× 24 299
Jane Ennis United States 13 184 0.9× 97 0.5× 68 0.8× 48 0.6× 61 0.8× 18 286

Countries citing papers authored by Chen-Yi Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Chen-Yi Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen-Yi Chiang. 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 Chen-Yi Chiang. The network helps show where Chen-Yi Chiang may publish in the future.

Co-authorship network of co-authors of Chen-Yi Chiang

This figure shows the co-authorship network connecting the top 25 collaborators of Chen-Yi Chiang. A scholar is included among the top collaborators of Chen-Yi Chiang 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 Chen-Yi Chiang. Chen-Yi Chiang 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.
Chiang, Chen-Yi, et al.. (2024). SARS-CoV-2 spike-FLIPr fusion protein plus lipidated FLIPr protects against various SARS-CoV-2 variants in hamsters. Journal of Virology. 98(2). e0154623–e0154623.
2.
3.
Chiang, Chen-Yi, Szu-Chia Lai, Chia-Yi Yu, et al.. (2022). Monoclonal antibody targeting the conserved region of the SARS-CoV-2 spike protein to overcome viral variants. JCI Insight. 7(8). 22 indexed citations
4.
Chiang, Chen-Yi, Mei‐Yu Chen, Chia‐Yeh Liu, et al.. (2022). Induction of high affinity monoclonal antibodies against SARS-CoV-2 variant infection using a DNA prime-protein boost strategy. Journal of Biomedical Science. 29(1). 37–37. 4 indexed citations
5.
Chiang, Chen-Yi, et al.. (2021). A Novel Recombinant Fcγ Receptor-Targeted Survivin Combines with Chemotherapy for Efficient Cancer Treatment. Biomedicines. 9(7). 806–806. 5 indexed citations
6.
Chen, Mei‐Yu, et al.. (2021). Intranasal Vaccination With Recombinant Antigen-FLIPr Fusion Protein Alone Induces Long-Lasting Systemic Antibody Responses and Broad T Cell Responses. Frontiers in Immunology. 12. 751883–751883. 7 indexed citations
7.
Chen, Hsin–Wei, Jiaying Yan, Chen-Yi Chiang, et al.. (2020). Immunodomination of Serotype-Specific CD4+ T-Cell Epitopes Contributed to the Biased Immune Responses Induced by a Tetravalent Measles-Vectored Dengue Vaccine. Frontiers in Immunology. 11. 546–546. 7 indexed citations
8.
Chen, Mei‐Yu, et al.. (2020). Recombinant lipidated Zika virus envelope protein domain III elicits durable neutralizing antibody responses against Zika virus in mice. Journal of Biomedical Science. 27(1). 51–51. 9 indexed citations
9.
Chiang, Chen-Yi, et al.. (2019). Delivery of Antigen to CD8+ Dendritic Cells by Fusing Antigen With Formyl Peptide Receptor-Like 1 Inhibitor Protein Induces Antitumor Immunity. Frontiers in Immunology. 10. 1839–1839. 10 indexed citations
10.
Chiang, Chen-Yi, et al.. (2018). Efficient Uptake of Recombinant Lipidated Survivin by Antigen-Presenting Cells Initiates Antigen Cross-Presentation and Antitumor Immunity. Frontiers in Immunology. 9. 822–822. 9 indexed citations
11.
Chiang, Chen-Yi, Chien-Hsiung Pan, Mei‐Yu Chen, et al.. (2016). Immunogenicity of a novel tetravalent vaccine formulation with four recombinant lipidated dengue envelope protein domain IIIs in mice. Scientific Reports. 6(1). 30648–30648. 33 indexed citations
12.
Chiang, Chen-Yi, Shih‐Jen Liu, Mei‐Yu Chen, et al.. (2016). Recombinant lipidated dengue-3 envelope protein domain III stimulates broad immune responses in mice. Vaccine. 34(8). 1054–1061. 17 indexed citations
13.
Chen, Hsin–Wei, Huimei Hu, Chen-Yi Chiang, et al.. (2015). The Immunodominance Change and Protection of CD4+ T-Cell Responses Elicited by an Envelope Protein Domain III-Based Tetravalent Dengue Vaccine in Mice. PLoS ONE. 10(12). e0145717–e0145717. 16 indexed citations
14.
Chiang, Chen-Yi, Mei‐Yu Chen, Jy-Ping Tsai, et al.. (2014). Recombinant lipidated dengue-4 envelope protein domain III elicits protective immunity. Vaccine. 32(12). 1346–1353. 31 indexed citations
15.
Chiang, Chen-Yi, Chien-Hsiung Pan, Jy-Ping Tsai, et al.. (2013). Lipidated Dengue-2 Envelope Protein Domain III Independently Stimulates Long-Lasting Neutralizing Antibodies and Reduces the Risk of Antibody-Dependent Enhancement. PLoS neglected tropical diseases. 7(9). e2432–e2432. 31 indexed citations
16.
Chen, Hsin–Wei, Shih‐Jen Liu, Hsueh‐Hung Liu, et al.. (2013). A consensus envelope protein domain III can induce neutralizing antibody responses against serotype 2 of dengue virus in non-human primates. Archives of Virology. 158(7). 1523–1531. 48 indexed citations
17.
Chiang, Chen-Yi, Ming‐Hsi Huang, Chien-Hsiung Pan, et al.. (2013). Induction of robust immunity by the emulsification of recombinant lipidated dengue-1 envelope protein domain III. Microbes and Infection. 15(10-11). 719–728. 16 indexed citations
18.
Chiang, Chen-Yi, et al.. (2011). An anti-IgE monoclonal antibody that binds to IgE on CD23 but not on high-affinity IgE.Fc receptors. Immunobiology. 217(7). 676–683. 30 indexed citations
19.
Chiang, Chen-Yi, et al.. (2007). Functional epitopes on porcine endogenous retrovirus envelope protein interacting with neutralizing antibody combining sites. Virology. 361(2). 364–371. 7 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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