Jeffrey C. Kwong

14.6k citations
286 papers · 8.7k indexed · 5 hit papers · h-index 48

Jeffrey C. Kwong

270 papers receiving 8.5k citations

Hit Papers

Estimated Effectiveness of COVID-19 V...1942017202620202023250500750

Peers

Jeffrey C. Kwong
Comparison fields: 5 of 187
  • Health, Toxicology and Mutagenesis 2.4k
  • Health 1.5k
  • Modeling and Simulation 624
  • Infectious Diseases 2.2k
  • Speech and Hearing 702
Replace Harish Nair with:
Harish Nair United Kingdom
David McAllister United Kingdom
Masahiro Hashizume Japan
Heather J. Zar South Africa
Ángel Gil de Miguel Spain
Rebecca L. Morgan United States
Rogelio Pérez‐Padilla Mexico
Gavin C. Donaldson United Kingdom
David P. Strachan United Kingdom
Krishnan Bhaskaran United Kingdom
Jeffrey C. Kwong relative to Harish Nair United Kingdom Harish Nair's profile →
Citations per field
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Harish Nair · 1×
Citations per year

Countries citing papers authored by Jeffrey C. Kwong

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Jeffrey C. Kwong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jeffrey C. Kwong Line = papers co-authored together Jeffrey C. Kwong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
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7 20239
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9 202217
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11 202213
12 20229
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16 202087
17 201924
18 20193
19
Acute Myocardial Infarction after Laboratory-Confirmed Influenza Infectionbreakdown →
2018773
20
Mentorship perceptions and experiences among academic family medicine faculty: Findings from a quantitative, comprehensive work-life and leadership survey.
201610

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), Respiratory viral infections research (60 papers), Pneumonia and Respiratory Infections (50 papers), SARS-CoV-2 and COVID-19 Research (43 papers), COVID-19 epidemiological studies (32 papers), Air Quality and Health Impacts (30 papers) and Climate Change and Health Impacts (23 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.

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