Avi Collins
Impact in
- Health top 5%
- Vaccine Coverage and Hesitancy
- Epidemiology top 10%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Pneumonia and Respiratory Infections
Papers in ⓘ
-
- Respiratory viral infections research 3
- Influenza Virus Research Studies 2
-
- SARS-CoV-2 and COVID-19 Research 1
- Co-authors
- David P. Greenberg (1 shared paper)Sanjay Gurunathan (1 shared paper)Carlos A. DiazGranados (1 shared paper)Nadia Tornieporth (1 shared paper)Michael D. Decker (1 shared paper)Richard Pollak (1 shared paper)Andrew J. Dunning (1 shared paper)John Earl (1 shared paper)
- Journals
- Clinical Infectious Diseases (1 paper)The Lancet Infectious Diseases (1 paper)New England Journal of Medicine (1 paper)Evidence-Based Practice in Child and Adolescent Mental Health (1 paper)
- Partner nations
- United StatesQatarIndia
In The Last Decade
Avi Collins
4 papers receiving 559 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Health 113
- Epidemiology 457
- Modeling and Simulation 41
- Infectious Diseases 137
- Immunology 113
Countries citing papers authored by Avi Collins
This map shows the geographic impact of Avi Collins'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 Avi Collins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avi Collins more than expected).
Fields of papers citing papers by Avi Collins
This network shows the impact of papers produced by Avi Collins. 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 Avi Collins. The network helps show where Avi Collins may publish in the future.
Co-authors
The 25 scholars most cited alongside Avi Collins, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Efficacy of High-Dose versus Standard-Dose Influenza Vaccine in Older Adults Hit paper breakdown → | 2014 | 549 |
| 2 | 2024 | 11 | |
| 3 | 2023 | 7 | |
| 4 | 2025 | 1 |
About Avi Collins
Avi Collins is a scholar working on Epidemiology, Infectious Diseases, Clinical Psychology, Pulmonary and Respiratory Medicine and Oncology, having authored 4 papers that have together received 568 indexed citations. Recurring topics across this work include Respiratory viral infections research (3 papers), Influenza Virus Research Studies (2 papers), Attention Deficit Hyperactivity Disorder (1 paper), Animal Disease Management and Epidemiology (1 paper), Neonatal Respiratory Health Research (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Obsessive-Compulsive Spectrum Disorders (1 paper) and Polyomavirus and related diseases (1 paper). The work is most often cited by research in Health (113 citations), Epidemiology (457 citations), Modeling and Simulation (41 citations), Infectious Diseases (137 citations) and Immunology (113 citations). Avi Collins has collaborated with scholars based in United States, Qatar and India. Frequent co-authors include David P. Greenberg, Sanjay Gurunathan, Carlos A. DiazGranados, Nadia Tornieporth, Michael D. Decker, Richard Pollak, Andrew J. Dunning, John Earl, Richard Nathan and Murray Kimmel. Their work appears in journals such as Clinical Infectious Diseases, The Lancet Infectious Diseases, New England Journal of Medicine and Evidence-Based Practice in Child and Adolescent Mental Health.
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.