Chao Wu

2.4k citations
62 papers · 1.4k indexed · 1 hit paper · h-index 23
Topics
Viral gastroenteritis research and epidemiology (11 papers)SARS-CoV-2 and COVID-19 Research (10 papers)Viral Infections and Outbreaks Research (9 papers)
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Chao Wu

62 papers receiving 1.4k citations

Hit Papers

Real-world COVID-19 vaccine effectiveness against the Omi...20232026202420252023255075100

Peers

Chao Wu
Comparison fields: 5 of 109
  • Infectious Diseases 581
  • Molecular Biology 492
  • Epidemiology 333
  • Immunology 285
  • Genetics 139
Replace Nicola Clementi with:
Nicola Clementi Italy
Jakob Trimpert Germany
Peter Pak‐Hang Cheung Hong Kong
Zhixia Mu China
Susanne Rauch Germany
Eleftherios Michailidis United States
Janis A. Müller Germany
Yajin Qu China
Liyuan Liu China
Rüdiger Groß Germany
Chao Wu relative to Nicola Clementi Italy Nicola Clementi's profile →
Citations per field
00.5×1.5×
Nicola Clementi · 1×
Citations per year

Countries citing papers authored by Chao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Wu. A scholar is included among the top collaborators of Chao Wu 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 Chao Wu. Chao Wu 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 9
3 7
4 4
5
Real-world COVID-19 vaccine effectiveness against the Omicron BA.2 variant in a SARS-CoV-2 infection-naive populationbreakdown →
116
6 2
7 23
8 19
9 3
10 91
11 66
12 1
13 6
14 3
15 47
16 16
17 45
18 10
19 42
20 9

About Chao Wu

Chao Wu is a scholar working on Infectious Diseases, Immunology and Epidemiology, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (11 papers), SARS-CoV-2 and COVID-19 Research (10 papers) and Viral Infections and Outbreaks Research (9 papers). The work is most often cited by research in Infectious Diseases (581 citations), Immunology (285 citations) and Modeling and Simulation (49 citations). Chao Wu has collaborated with scholars based in China, United States and France. Frequent co-authors include Gaya K. Amarasinghe, Jianwei Wang, Daisy W. Leung, Malik Peiris, Christopher F. Basler, Zhiguang Zhou, David S.C. Hui, Sophie A. Valkenburg, Samuel M. S. Cheng and Li Guo. Their work appears in journals such as Cell, Journal of the American Chemical Society and Journal of Biological Chemistry.

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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