Chad R. Wells

3.3k citations
36 papers · 1.7k indexed · 2 hit papers · h-index 18
Topics
COVID-19 epidemiological studies (18 papers)SARS-CoV-2 and COVID-19 Research (11 papers)SARS-CoV-2 detection and testing (7 papers)

In The Last Decade

Chad R. Wells

34 papers receiving 1.7k citations

Hit Papers

The Impact of Vaccination on Coronavirus Disease 2019 (CO...202020262022202420212020100200300

Peers

Chad R. Wells
Comparison fields: 5 of 149
  • Modeling and Simulation 865
  • Infectious Diseases 751
  • Economics and Econometrics 288
  • Epidemiology 254
  • Health 253
Replace Affan Shoukat with:
Affan Shoukat Canada
Abhishek Pandey United States
Andrei R. Akhmetzhanov Japan
Christine Tedijanto United States
Xingjie Hao China
Ruian Ke United States
Juliet Bedford United Kingdom
Borame Sue Lee Dickens Singapore
Alberto Alexander Gayle Japan
Natalie M. Linton Japan
Chad R. Wells relative to Affan Shoukat Canada Affan Shoukat's profile →
Citations per field
00.5×
Affan Shoukat · 1×
Citations per year

Countries citing papers authored by Chad R. Wells

Since Specialization
Citations

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

Fields of papers citing papers by Chad R. Wells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chad R. Wells. 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 Chad R. Wells. The network helps show where Chad R. Wells may publish in the future.

Co-authorship network of co-authors of Chad R. Wells

This figure shows the co-authorship network connecting the top 25 collaborators of Chad R. Wells. A scholar is included among the top collaborators of Chad R. Wells 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 Chad R. Wells. Chad R. Wells 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 0
2 0
3 3
4 1
5 4
6 5
7 19
8
The Impact of Vaccination on Coronavirus Disease 2019 (COVID-19) Outbreaks in the United Statesbreakdown →
348
9 5
10 130
11 49
12 98
13 21
14 18
15 27
16 2
17 41
18 29
19 25
20 8

About Chad R. Wells

Chad R. Wells is a scholar working on Modeling and Simulation, Health and Infectious Diseases, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (18 papers), SARS-CoV-2 and COVID-19 Research (11 papers) and SARS-CoV-2 detection and testing (7 papers). The work is most often cited by research in Modeling and Simulation (865 citations), Infectious Diseases (751 citations) and Health (253 citations). Chad R. Wells has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Alison P. Galvani, Burton H. Singer, Seyed M. Moghadas, Affan Shoukat, Abhishek Pandey, Lauren Ancel Meyers, Meagan C. Fitzpatrick, Pratha Sah, Zheng Wang and Joanne M. Langley. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Nature Communications.

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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