Hongling Zhao

1.1k total citations
18 papers, 369 citations indexed

About

Hongling Zhao is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Hongling Zhao has authored 18 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 9 papers in Cardiology and Cardiovascular Medicine and 5 papers in Epidemiology. Recurrent topics in Hongling Zhao's work include Viral Infections and Immunology Research (9 papers), Viral gastroenteritis research and epidemiology (7 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Hongling Zhao is often cited by papers focused on Viral Infections and Immunology Research (9 papers), Viral gastroenteritis research and epidemiology (7 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Hongling Zhao collaborates with scholars based in China, Singapore and Netherlands. Hongling Zhao's co-authors include Qihan Li, Chenghong Dong, Yun Liao, Lichun Wang, Ruixiong Na, Ying Zhang, Longding Liu, Long-ding Liu, Jingjing Wang and Li Jiang and has published in prestigious journals such as Journal of Molecular Biology, Scientific Reports and Virology.

In The Last Decade

Hongling Zhao

15 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongling Zhao China 10 259 215 99 90 49 18 369
Haijing Shi China 11 140 0.5× 141 0.7× 110 1.1× 51 0.6× 116 2.4× 31 344
Xinran Zou China 7 114 0.4× 156 0.7× 236 2.4× 30 0.3× 35 0.7× 7 343
Zhenmin Sun China 5 275 1.1× 130 0.6× 165 1.7× 66 0.7× 55 1.1× 9 365
Chaoyang Deng China 10 90 0.3× 53 0.2× 82 0.8× 52 0.6× 17 0.3× 19 303
Leonard Kristal United States 8 107 0.4× 39 0.2× 80 0.8× 37 0.4× 93 1.9× 17 429
Takamaru Ishizu Japan 6 274 1.1× 277 1.3× 70 0.7× 15 0.2× 96 2.0× 6 537
Zening Yang China 9 73 0.3× 64 0.3× 81 0.8× 17 0.2× 33 0.7× 13 194
Alexa M. Bolock United States 7 39 0.2× 83 0.4× 79 0.8× 3 0.0× 53 1.1× 8 380
Fangcai Li China 11 13 0.1× 60 0.3× 46 0.5× 99 1.1× 148 3.0× 31 384
Megan Culler Freeman United States 8 43 0.2× 128 0.6× 31 0.3× 5 0.1× 30 0.6× 25 187

Countries citing papers authored by Hongling Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Hongling Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongling Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Hongling Zhao. A scholar is included among the top collaborators of Hongling Zhao 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 Hongling Zhao. Hongling Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Han, Lin, Jie Wang, Yu Gao, et al.. (2025). Association Between Intracranial Plaque Characteristics and Stroke Recurrence Risk Stratified by Stenosis Severity. Academic Radiology. 32(10). 6205–6215.
2.
Zhao, Hongling, Ruili Yin, Yan Wang, et al.. (2024). Association between blood heavy metals and diabetic kidney disease among type 2 diabetic patients: a cross-sectional study. Scientific Reports. 14(1). 26823–26823.
3.
Hong, Xiang, Xiang Hong, Chao Hong, et al.. (2024). Design, development, and validation of a strand-specific RT-qPCR assay to differentiate replicating versus nonreplicating Rabies virus. Journal of Virological Methods. 332. 115054–115054.
4.
Miao, Guohou, Wenzhi Li, Chaoyang Ma, et al.. (2023). 3D Bioprinting of a Bioactive Composite Scaffold for Cell Delivery in Periodontal Tissue Regeneration. Biomolecules. 13(7). 1062–1062. 36 indexed citations
5.
Zhao, Hongling & Pengfei Chen. (2023). Establishment of Flipped Chinese Course Based on Socially Shared Learning Regulations in Chinese Normal University Students. International Journal of Higher Education. 12(5). 218–218. 1 indexed citations
6.
Wang, Jingjing, Jing Pu, Hongtai Huang, et al.. (2013). EV71-infected CD14 + cells modulate the immune activity of T lymphocytes in rhesus monkeys. Emerging Microbes & Infections. 2(1). 7–1. 17 indexed citations
7.
Liang, Yan, Xiaofang Zhou, Erxia Yang, et al.. (2012). Analysis of the Th1/Th2 Reaction in the Immune Response Induced by EV71 Inactivated Vaccine in Neonatal Rhesus Monkeys. Journal of Clinical Immunology. 32(5). 1048–1058. 11 indexed citations
8.
Zhang, Ying, Erxia Yang, Longding Liu, et al.. (2012). The effect of enterovirus 71 immunization on neuropathogenesis and protein expression profiles in the thalamus of infected rhesus neonates. Virology. 432(2). 417–426. 12 indexed citations
9.
Zhang, Xuemei, Hongling Zhao, Jingjing Wang, et al.. (2011). [Evaluation of immune responses and related patho-inflammatory reactions of a candidate inactivated EV71 vaccine in neonatal monkeys].. PubMed. 91(28). 1977–81. 4 indexed citations
10.
Liu, Longding, Hongling Zhao, Ying Zhang, et al.. (2011). Neonatal rhesus monkey is a potential animal model for studying pathogenesis of EV71 infection. Virology. 412(1). 91–100. 61 indexed citations
11.
Zhang, Ying, Wei Cui, Long-ding Liu, et al.. (2011). Pathogenesis study of enterovirus 71 infection in rhesus monkeys. Laboratory Investigation. 91(9). 1337–1350. 89 indexed citations
12.
Dong, Chenghong, Long-ding Liu, Hongling Zhao, et al.. (2011). Immunoprotection elicited by an enterovirus type 71 experimental inactivated vaccine in mice and rhesus monkeys. Vaccine. 29(37). 6269–6275. 56 indexed citations
13.
Liang, Yan, Shaohui Ma, Longding Liu, et al.. (2010). Identification and development of a promising novel mumps vaccine candidate strain. Microbes and Infection. 12(14-15). 1178–1187. 5 indexed citations
14.
Dong, Chenghong, Jingjing Wang, Longding Liu, et al.. (2010). Optimized development of a candidate strain of inactivated EV71 vaccine and analysis of its immunogenicity in rhesus monkeys. Human Vaccines. 6(12). 1028–1037. 27 indexed citations
15.
Li, Weizhong, Lichun Wang, Li Jiang, et al.. (2008). Identification of a Novel Transcriptional Repressor (HEPIS) That Interacts with nsp-10 of SARS Coronavirus. Viral Immunology. 21(2). 153–162. 8 indexed citations
16.
Liu, Long-ding, Shaohui Ma, Jingjing Wang, et al.. (2007). Phylogenetic analysis of homologous proteins encoded by UL2 and UL23 genes of Herpesviridae. Virologica Sinica. 22(3). 207–211. 2 indexed citations
17.
Li, Qihan, Lichun Wang, Chenghong Dong, et al.. (2005). The interaction of the SARS coronavirus non-structural protein 10 with the cellular oxido-reductase system causes an extensive cytopathic effect. Journal of Clinical Virology. 34(2). 133–139. 28 indexed citations
18.
Li, Qihan, Hongling Zhao, Li Jiang, et al.. (2002). An SR-protein Induced by HSVI Binding to Cells Functioning as a Splicing Inhibitor of Viral pre-mRNA. Journal of Molecular Biology. 316(4). 887–894. 12 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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