Shi Zhao

10.5k total citations · 2 hit papers
215 papers, 6.0k citations indexed

About

Shi Zhao is a scholar working on Infectious Diseases, Modeling and Simulation and Epidemiology. According to data from OpenAlex, Shi Zhao has authored 215 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Infectious Diseases, 114 papers in Modeling and Simulation and 44 papers in Epidemiology. Recurrent topics in Shi Zhao's work include COVID-19 epidemiological studies (114 papers), SARS-CoV-2 and COVID-19 Research (71 papers) and COVID-19 Clinical Research Studies (33 papers). Shi Zhao is often cited by papers focused on COVID-19 epidemiological studies (114 papers), SARS-CoV-2 and COVID-19 Research (71 papers) and COVID-19 Clinical Research Studies (33 papers). Shi Zhao collaborates with scholars based in Hong Kong, China and United States. Shi Zhao's co-authors include Daihai He, Salihu S. Musa, Lin Yang, Maggie Haitian Wang, Daozhou Gao, Yijun Lou, Jinjun Ran, Weiming Wang, Qianying Lin and Guangpu Yang and has published in prestigious journals such as Nature Medicine, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Shi Zhao

206 papers receiving 5.8k citations

Hit Papers

Preliminary estimation of the basic reproduction number o... 2020 2026 2022 2024 2020 2020 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shi Zhao Hong Kong 34 3.2k 2.5k 1.1k 1.1k 790 215 6.0k
Maggie Haitian Wang China 40 2.3k 0.7× 2.0k 0.8× 887 0.8× 806 0.8× 900 1.1× 238 6.9k
Kyra H. Grantz United States 11 2.3k 0.7× 2.3k 0.9× 825 0.7× 525 0.5× 644 0.8× 29 4.8k
Andrew S. Azman United States 32 3.2k 1.0× 3.6k 1.5× 942 0.8× 741 0.7× 1.2k 1.5× 141 7.8k
Kathy Leung Hong Kong 26 2.9k 0.9× 2.9k 1.2× 1.2k 1.1× 542 0.5× 916 1.2× 72 6.5k
Qifang Bi United States 10 2.0k 0.6× 2.2k 0.9× 743 0.7× 638 0.6× 554 0.7× 13 4.7k
Lin Yang Hong Kong 42 2.6k 0.8× 2.0k 0.8× 1.0k 0.9× 768 0.7× 1.3k 1.6× 176 7.1k
Nicholas G Reich United States 33 3.2k 1.0× 3.4k 1.4× 964 0.9× 1.2k 1.1× 1.8k 2.2× 85 8.2k
Wan Yang United States 32 2.6k 0.8× 2.1k 0.8× 623 0.6× 447 0.4× 1.6k 2.1× 72 5.5k
Yonatan H. Grad United States 42 1.9k 0.6× 2.3k 0.9× 523 0.5× 648 0.6× 1.4k 1.8× 142 7.6k
Kaiyuan Sun United States 17 2.5k 0.8× 1.1k 0.5× 1.1k 1.0× 485 0.5× 738 0.9× 28 4.0k

Countries citing papers authored by Shi Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Shi Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Shi Zhao. A scholar is included among the top collaborators of Shi 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 Shi Zhao. Shi Zhao 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.
Chong, Ka Chun, Katherine Min Jia, Christopher Boyer, et al.. (2025). SARS-CoV-2 rebound and post-acute mortality and hospitalization among patients admitted with COVID-19: cohort study. Nature Communications. 16(1). 6924–6924. 2 indexed citations
2.
Zhang, Wei, Juan Zhang, Quan-Hui Liu, et al.. (2025). Behavior changes influence mpox transmission in the United States, 2022–2023: Insights from homogeneous and heterogeneous models. PNAS Nexus. 4(2). pgaf025–pgaf025. 3 indexed citations
3.
Wong, Eliza Lai‐Yi, et al.. (2024). Patient experience and satisfaction with shared decision-making: A cross-sectional study among outpatients. Patient Education and Counseling. 129. 108410–108410. 6 indexed citations
4.
Zhao, Shi, Wangnan Cao, Zihao Guo, et al.. (2024). All cause and cause specific mortality associated with transition to daylight saving time in US: nationwide, time series, observational study. SHILAP Revista de lepidopterología. 3(1). e000771–e000771. 3 indexed citations
5.
Xie, Songsong, Zihao Guo, Xiu Gu, et al.. (2024). A tentative exploration for the association between influenza virus infection and SARS-CoV-2 infection in Shihezi, China: A test-negative study. Infectious Disease Modelling. 10(1). 201–206.
6.
Liang, Weiwen, Inchi Hu, Shi Zhao, et al.. (2024). Predictive evolutionary modelling for influenza virus by site-based dynamics of mutations. Nature Communications. 15(1). 2546–2546. 6 indexed citations
7.
Chong, Ka Chun, Paul K.S. Chan, Chi Tim Hung, et al.. (2023). Changes in all-cause and cause-specific excess mortality before and after the Omicron outbreak of COVID-19 in Hong Kong. Journal of Global Health. 13. 6017–6017. 11 indexed citations
8.
Ghaleh, Hadi Esmaeili Gouvarchin, Morteza Izadi, Mohammad Javanbakht, et al.. (2023). Cytokine profile and antioxidants status in the moderate and severe COVID-19 patients: a trial of ozone therapy impact as a medicinal supplement. Inflammopharmacology. 31(6). 3029–3036. 3 indexed citations
10.
Guo, Zihao, Shi Zhao, Shengzhi Sun, et al.. (2022). Estimation of the serial interval of monkeypox during the early outbreak in 2022. Journal of Medical Virology. 95(1). e28248–e28248. 7 indexed citations
11.
Zhao, Shi, Inchi Hu, Ka Chun Chong, et al.. (2022). The mechanism shaping the logistic growth of mutation proportion in epidemics at population scale. Infectious Disease Modelling. 8(1). 107–121. 2 indexed citations
12.
Zhao, Shi, Zu‐Yao Yang, Salihu S. Musa, et al.. (2021). Attach importance of the bootstrapttest against Student'sttest in clinical epidemiology: a demonstrative comparison using COVID-19 as an example. Epidemiology and Infection. 149. e107–e107. 5 indexed citations
13.
Zhao, Shi, Yu Zhao, Biao Tang, et al.. (2021). Shrinkage in serial intervals across transmission generations of COVID-19. Journal of Theoretical Biology. 529. 110861–110861. 1 indexed citations
14.
Zhao, Shi, Ka Chun Chong, Hong Zheng, et al.. (2021). Inferring the Association between the Risk of COVID-19 Case Fatality and N501Y Substitution in SARS-CoV-2. Viruses. 13(4). 638–638. 21 indexed citations
15.
Musa, Salihu S., et al.. (2020). Estimation of exponential growth rate and basic reproduction number of the coronavirus disease 2019 (COVID-19) in Africa. Infectious Diseases of Poverty. 9(1). 96–96. 67 indexed citations
16.
Fan, Guihong, Zhichun Yang, Qianying Lin, et al.. (2020). Decreased Case Fatality Rate of COVID‐19 in the Second Wave: A study in 53 countries or regions. Transboundary and Emerging Diseases. 68(2). 213–215. 107 indexed citations
17.
Zhao, Shi, Lefei Han, Daihai He, & Jing Qin. (2020). Public awareness, news promptness and the measles outbreak in Hong Kong from March to April, 2019. Infectious Diseases. 52(4). 284–290. 5 indexed citations
18.
Zhao, Shi, Xiujuan Tang, Ka Chun Chong, et al.. (2020). <p>Modelling the Measles Outbreak at Hong Kong International Airport in 2019: A Data-Driven Analysis on the Effects of Timely Reporting and Public Awareness</p>. Infection and Drug Resistance. Volume 13. 1851–1861. 4 indexed citations
19.
Tang, Xiujuan, Shi Zhao, Alice P. Y. Chiu, et al.. (2017). Modelling the transmission and control strategies of varicella among school children in Shenzhen, China. PLoS ONE. 12(5). e0177514–e0177514. 15 indexed citations
20.
Tang, Xiujuan, Shi Zhao, Alice P. Y. Chiu, et al.. (2017). Analysing increasing trends of Guillain-Barré Syndrome (GBS) and dengue cases in Hong Kong using meteorological data. PLoS ONE. 12(12). e0187830–e0187830. 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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