Dihan Zhou

827 total citations
27 papers, 625 citations indexed

About

Dihan Zhou is a scholar working on Immunology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Dihan Zhou has authored 27 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 10 papers in Epidemiology and 8 papers in Infectious Diseases. Recurrent topics in Dihan Zhou's work include Immune Response and Inflammation (9 papers), Inflammasome and immune disorders (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Dihan Zhou is often cited by papers focused on Immune Response and Inflammation (9 papers), Inflammasome and immune disorders (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Dihan Zhou collaborates with scholars based in China, Germany and United States. Dihan Zhou's co-authors include Huimin Yan, Jingyi Yang, Yao-Qing Chen, Maohua Zhong, Yuan Cao, Yaoming Li, Yi Yang, Ejuan Zhang, Qiaoli Li and Jie Yu and has published in prestigious journals such as PLoS ONE, Journal of Virology and Scientific Reports.

In The Last Decade

Dihan Zhou

27 papers receiving 613 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dihan Zhou China 15 234 210 165 161 142 27 625
John B. Johnson United States 15 156 0.7× 266 1.3× 161 1.0× 210 1.3× 48 0.3× 31 731
Miroslav Novák United States 16 161 0.7× 318 1.5× 140 0.8× 308 1.9× 59 0.4× 31 780
Sivakumar Periasamy United States 18 205 0.9× 290 1.4× 253 1.5× 168 1.0× 67 0.5× 38 774
Mario Cortese United States 9 232 1.0× 525 2.5× 168 1.0× 342 2.1× 113 0.8× 11 827
Jody D. Berry Canada 16 203 0.9× 96 0.5× 366 2.2× 120 0.7× 34 0.2× 28 634
Jun‐ichi Maeyama Japan 17 220 0.9× 372 1.8× 149 0.9× 210 1.3× 75 0.5× 33 722
Ian T. Nisbet Australia 10 192 0.8× 92 0.4× 309 1.9× 167 1.0× 154 1.1× 15 655
Yoichiro Kino Japan 17 115 0.5× 156 0.7× 285 1.7× 479 3.0× 74 0.5× 42 750
Yukari Hagiwara Japan 15 158 0.7× 477 2.3× 192 1.2× 363 2.3× 66 0.5× 17 862

Countries citing papers authored by Dihan Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Dihan Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dihan Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Dihan Zhou. A scholar is included among the top collaborators of Dihan Zhou 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 Dihan Zhou. Dihan Zhou 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.
Zhang, Yue, Hu Yan, Dihan Zhou, et al.. (2022). A high-dose inoculum size results in persistent viral infection and arthritis in mice infected with chikungunya virus. PLoS neglected tropical diseases. 16(1). e0010149–e0010149. 8 indexed citations
2.
Yang, Jingyi, Maohua Zhong, Ejuan Zhang, et al.. (2021). Broad phenotypic alterations and potential dysfunction of lymphocytes in individuals clinically recovered from COVID-19. Journal of Molecular Cell Biology. 13(3). 197–209. 21 indexed citations
3.
Yang, Jingyi, Bing He, Xian Li, et al.. (2021). A safe and effective mucosal RSV vaccine in mice consisting of RSV phosphoprotein and flagellin variant. Cell Reports. 36(3). 109401–109401. 29 indexed citations
4.
Zhou, Dihan, Yi Huang, Shuqi Xiao, et al.. (2021). Development of a New Reverse Genetics System for Ebola Virus. mSphere. 6(3). 8 indexed citations
5.
Yang, Yi, Dihan Zhou, Yuan Cao, et al.. (2020). Immunoglobulin A Targeting on the N-Terminal Moiety of Viral Phosphoprotein Prevents Measles Virus from Evading Interferon-β Signaling. ACS Infectious Diseases. 6(5). 844–856. 4 indexed citations
6.
7.
Yang, H. J., Yue Zhao, Peng Li, et al.. (2018). Sequence determinants of specific pattern-recognition of bacterial ligands by the NAIP–NLRC4 inflammasome. Cell Discovery. 4(1). 22–22. 18 indexed citations
8.
9.
Yang, Jingyi, Ying Sun, Rong Bao, et al.. (2017). Second-generation Flagellin-rPAc Fusion Protein, KFD2-rPAc, Shows High Protective Efficacy against Dental Caries with Low Potential Side Effects. Scientific Reports. 7(1). 11191–11191. 15 indexed citations
10.
Sun, Ying, Yi Yang, Dihan Zhou, et al.. (2016). Flagellin-rPAc vaccine inhibits biofilm formation but not proliferation ofS. mutans. Human Vaccines & Immunotherapeutics. 12(11). 2847–2854. 12 indexed citations
11.
Li, Wei, Jingyi Yang, Ejuan Zhang, et al.. (2015). Activation of NLRC4 downregulates TLR5-mediated antibody immune responses against flagellin. Cellular and Molecular Immunology. 13(4). 514–523. 26 indexed citations
12.
Xiao, Yang, Fang Liu, Jingyi Yang, et al.. (2014). Over-activation of TLR5 signaling by high-dose flagellin induces liver injury in mice. Cellular and Molecular Immunology. 12(6). 729–742. 62 indexed citations
13.
Yang, Jingyi, Ejuan Zhang, Fang Liu, et al.. (2013). Flagellins of <b><i>Salmonella</i></b> Typhi and Nonpathogenic <b><i>Escherichia coli</i></b> Are Differentially Recognized through the NLRC4 Pathway in Macrophages. Journal of Innate Immunity. 6(1). 47–57. 34 indexed citations
14.
Yang, Jingyi, Maohua Zhong, Ejuan Zhang, et al.. (2013). Antigen replacement of domains D2 and D3 in flagellin promotes mucosal IgA production and attenuates flagellin-induced inflammatory response after intranasal immunization. Human Vaccines & Immunotherapeutics. 9(5). 1084–1092. 34 indexed citations
15.
Chen, Yao-Qing, Luyang Cao, Maohua Zhong, et al.. (2012). Anti-HIV-1 Activity of a New Scorpion Venom Peptide Derivative Kn2-7. PLoS ONE. 7(4). e34947–e34947. 65 indexed citations
16.
Zhong, Maohua, Jingyi Yang, Rong Bao, et al.. (2012). L-Selectin and P-Selectin Are Novel Biomarkers of Cervicovaginal Inflammation for Preclinical Mucosal Safety Assessment of Anti-HIV-1 Microbicide. Antimicrobial Agents and Chemotherapy. 56(6). 3121–3132. 12 indexed citations
17.
Li, Qiaoli, Zhenhuan Zhao, Dihan Zhou, et al.. (2011). Virucidal activity of a scorpion venom peptide variant mucroporin-M1 against measles, SARS-CoV and influenza H5N1 viruses. Peptides. 32(7). 1518–1525. 117 indexed citations
18.
Zhang, Yan, Jingyi Yang, Rong Bao, et al.. (2011). Unpolarized Release of Vaccinia Virus and HIV Antigen by Colchicine Treatment Enhances Intranasal HIV Antigen Expression and Mucosal Humoral Responses. PLoS ONE. 6(9). e24296–e24296. 16 indexed citations
19.
Gai, Weiwei, Yan Zhang, Dihan Zhou, et al.. (2011). PIKA provides an adjuvant effect to induce strong mucosal and systemic humoral immunity against SARS-CoV. Virologica Sinica. 26(2). 81–94. 13 indexed citations
20.
Liu, Fang, Jingyi Yang, Yan Zhang, et al.. (2010). Recombinant flagellins with partial deletions of the hypervariable domain lose antigenicity but not mucosal adjuvancy. Biochemical and Biophysical Research Communications. 392(4). 582–587. 33 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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