Casey Johnson
Impact in
- Epidemiology top 5%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Virology and Viral Diseases
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- Mosquito-borne diseases and control
Papers in
- Epidemiology 12
- Influenza Virus Research Studies 9
- Respiratory viral infections research 3
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- Mosquito-borne diseases and control 5
- Neonatal and Maternal Infections 1
- Co-authors
- Lynda Tussey (5 shared papers)David N. Taylor (4 shared papers)Uma Kavita (4 shared papers)Alan R. SHAW (4 shared papers)Thomas P. C. Monath (5 shared papers)Richard Nichols (4 shared papers)Philip Bedford (4 shared papers)Margo L. Schilling (1 shared paper)
- Journals
- Vaccine (6 papers)The Journal of Infectious Diseases (5 papers)New England Journal of Medicine (2 papers)Open Forum Infectious Diseases (2 papers)PLoS ONE (1 paper)
- Partner nations
- United StatesBelgiumGermany
In The Last Decade
Casey Johnson
19 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 82
- Epidemiology 829
- Public Health, Environmental and Occupational Health 631
- Immunology 363
- Virology 41
- Infectious Diseases 79
Countries citing papers authored by Casey Johnson
This map shows the geographic impact of Casey Johnson'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 Casey Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Casey Johnson more than expected).
Fields of papers citing papers by Casey Johnson
This network shows the impact of papers produced by Casey Johnson. 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 Casey Johnson. The network helps show where Casey Johnson may publish in the future.
Co-authors
The 25 scholars most cited alongside Casey Johnson, 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 | 1999 | 411 | |
| 2 | 2011 | 265 | |
| 3 | 2003 | 198 | |
| 4 | 2002 | 194 | |
| 5 | 2006 | 193 | |
| 6 | 2011 | 143 | |
| 7 | 2012 | 115 | |
| 8 | 2011 | 94 | |
| 9 | 2010 | 85 | |
| 10 | 2010 | 77 | |
| 11 | 2011 | 68 | |
| 12 | 2018 | 38 | |
| 13 | 2016 | 35 | |
| 14 | 2021 | 34 | |
| 15 | 2020 | 27 | |
| 16 | 2020 | 12 | |
| 17 | 2005 | 8 | |
| 18 | 2014 | 6 | |
| 19 | 2020 | 1 |
About Casey Johnson
Casey Johnson is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Toxicology, Microbiology and Rehabilitation, having authored 19 papers that have together received 2k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (9 papers), Mosquito-borne diseases and control (5 papers), Respiratory viral infections research (3 papers), Bacterial Infections and Vaccines (1 paper), Muscle and Compartmental Disorders (1 paper), Exercise and Physiological Responses (1 paper), Neonatal and Maternal Infections (1 paper) and Pharmacovigilance and Adverse Drug Reactions (1 paper). The work is most often cited by research in Epidemiology (829 citations), Public Health, Environmental and Occupational Health (631 citations), Immunology (363 citations), Virology (41 citations) and Infectious Diseases (79 citations). Casey Johnson has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include Lynda Tussey, David N. Taylor, Uma Kavita, Alan R. SHAW, Thomas P. C. Monath, Richard Nichols, Philip Bedford, Margo L. Schilling, Frederick G. Hayden and Les Huson. Their work appears in journals such as Vaccine, The Journal of Infectious Diseases, New England Journal of Medicine, Open Forum Infectious Diseases and PLoS ONE.
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.