Shi Zhao

10.5k citations
215 papers · 6.0k indexed · 2 hit papers · h-index 34
Topics
COVID-19 epidemiological studies (114 papers)SARS-CoV-2 and COVID-19 Research (71 papers)COVID-19 Clinical Research Studies (33 papers)
Journals
Nature MedicineNature CommunicationsSHILAP 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...2020202620222024202020202505007501000

Peers

Shi Zhao
Comparison fields: 5 of 181
  • Modeling and Simulation 3.2k
  • Infectious Diseases 2.5k
  • Economics and Econometrics 1.1k
  • Public Health, Environmental and Occupational Health 1.1k
  • Epidemiology 790
Replace Andrew S. Azman with:
Andrew S. Azman United States
Nicholas G Reich United States
Peng Wu Hong Kong
Pierre‐Yves Boëlle France
Yonatan H. Grad United States
Niel Hens Belgium
Pui Hing Chau Hong Kong
Eric H. Y. Lau Hong Kong
Emma S. McBryde Australia
Mauricio Santillana United States
Shi Zhao relative to Andrew S. Azman United States Andrew S. Azman's profile →
Citations per field
00.5×1.5×
Andrew S. Azman · 1×
Citations per year

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
#WorkIndexed citations
1 2
2 3
3 6
4 3
5 0
6 6
7 11
8 3
9 6
10 7
11 2
12 5
13 1
14 21
15 67
16 107
17 5
18 4
19 15
20 12

About Shi Zhao

Shi Zhao is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology, having authored 215 papers that have together received 6.0k indexed citations. Recurring topics across this 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). The work is most often cited by research in Modeling and Simulation (3.2k citations), Infectious Diseases (2.5k citations) and Economics and Econometrics (1.1k citations). Shi Zhao has collaborated with scholars based in Hong Kong, China and United States. Frequent 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. Their work appears in journals such as Nature Medicine, Nature Communications and SHILAP Revista de lepidopterología.

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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