Jeffrey C. Kwong
- Epidemiology top 0.5%
- Health, Toxicology and Mutagenesis top 0.2%
- Infectious Diseases top 0.5%
- Health top 0.2%
- Speech and Hearing top 0.2%
- Co-authors
- Hong ChenRichard T. BurnettRandall V. MartinAaron van DonkelaarMichael A. CampitelliRay CopesLaura C. RosellaAlexander Kopp
- Topics
- Influenza Virus Research Studies (95 papers)Vaccine Coverage and Hesitancy (77 papers)Respiratory viral infections research (60 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Jeffrey C. Kwong
270 papers receiving 8.5k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Epidemiology 3.2k
- Health, Toxicology and Mutagenesis 2.4k
- Infectious Diseases 2.2k
- Health 1.5k
- Speech and Hearing 702
Countries citing papers authored by Jeffrey C. Kwong
This map shows the geographic impact of Jeffrey C. Kwong'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 Jeffrey C. Kwong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey C. Kwong more than expected).
Fields of papers citing papers by Jeffrey C. Kwong
This network shows the impact of papers produced by Jeffrey C. Kwong. 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 Jeffrey C. Kwong. The network helps show where Jeffrey C. Kwong may publish in the future.
Co-authorship network of co-authors of Jeffrey C. Kwong
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey C. Kwong. A scholar is included among the top collaborators of Jeffrey C. Kwong 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 Jeffrey C. Kwong. Jeffrey C. Kwong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 26 | |
| 7 | 9 | |
| 8 | 2 | |
| 9 | 17 | |
| 10 | 14 | |
| 11 | 13 | |
| 12 | 9 | |
| 13 | 8 | |
| 14 | 6 | |
| 15 | 5 | |
| 16 | 87 | |
| 17 | 24 | |
| 18 | 3 | |
| 19 | Acute Myocardial Infarction after Laboratory-Confirmed Influenza Infectionbreakdown → | 773 |
| 20 | Mentorship perceptions and experiences among academic family medicine faculty: Findings from a quantitative, comprehensive work-life and leadership survey. | 10 |
About Jeffrey C. Kwong
Jeffrey C. Kwong is a scholar working on Health, Modeling and Simulation and Epidemiology, having authored 286 papers that have together received 8.7k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (95 papers), Vaccine Coverage and Hesitancy (77 papers) and Respiratory viral infections research (60 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.4k citations), Health (1.5k citations) and Modeling and Simulation (624 citations). Jeffrey C. Kwong has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Hong Chen, Richard T. Burnett, Randall V. Martin, Aaron van Donkelaar, Michael A. Campitelli, Ray Copes, Laura C. Rosella, Alexander Kopp, Natasha S. Crowcroft and Perry Hystad. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.
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.