Murray Kimmel
Impact in
- Epidemiology top 10%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Pneumonia and Respiratory Infections
- Health top 5%
- Vaccine Coverage and Hesitancy
Papers in
-
- Respiratory viral infections research 2
- Pneumonia and Respiratory Infections 2
- Influenza Virus Research Studies 1
- Virology and Viral Diseases 1
-
- SARS-CoV-2 and COVID-19 Research 1
- Viral gastroenteritis research and epidemiology 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)Avi Collins (1 shared paper)Richard Pollak (1 shared paper)Andrew J. Dunning (1 shared paper)
- Journals
- Human Vaccines & Immunotherapeutics (1 paper)Vaccine (1 paper)New England Journal of Medicine (1 paper)Methods and Findings in Experimental and Clinical Pharmacology (1 paper)PubMed (1 paper)
- Partner nations
- United StatesPolandNetherlands
In The Last Decade
Murray Kimmel
5 papers receiving 592 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Epidemiology 461
- Health 111
- Modeling and Simulation 41
- Infectious Diseases 147
- Immunology 117
Countries citing papers authored by Murray Kimmel
This map shows the geographic impact of Murray Kimmel'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 Murray Kimmel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Murray Kimmel more than expected).
Fields of papers citing papers by Murray Kimmel
This network shows the impact of papers produced by Murray Kimmel. 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 Murray Kimmel. The network helps show where Murray Kimmel may publish in the future.
Co-authors
The 25 scholars most cited alongside Murray Kimmel, 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 | 2010 | 37 | |
| 3 | 2018 | 10 | |
| 4 | 2021 | 7 | |
| 5 | BK virus nephropathy and immunosuppression: the non-transplant setting. | 2012 | 1 |
About Murray Kimmel
Murray Kimmel is a scholar working on Epidemiology, Infectious Diseases, Microbiology, Oncology and Agronomy and Crop Science, having authored 5 papers that have together received 604 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (2 papers), Respiratory viral infections research (2 papers), Pneumonia and Respiratory Infections (2 papers), Influenza Virus Research Studies (1 paper), Animal Disease Management and Epidemiology (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Virology and Viral Diseases (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Epidemiology (461 citations), Health (111 citations), Modeling and Simulation (41 citations), Infectious Diseases (147 citations) and Immunology (117 citations). Murray Kimmel has collaborated with scholars based in United States, Poland and Netherlands. Frequent co-authors include David P. Greenberg, Sanjay Gurunathan, Carlos A. DiazGranados, Nadia Tornieporth, Michael D. Decker, Avi Collins, Richard Pollak, Andrew J. Dunning, John Earl and Richard Nathan. Their work appears in journals such as Human Vaccines & Immunotherapeutics, Vaccine, New England Journal of Medicine, Methods and Findings in Experimental and Clinical Pharmacology and PubMed.
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.