Wayne E. Magee
Impact in
- Virology top 5%
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility
Papers in
-
- RNA Interference and Gene Delivery 6
- Viral Infectious Diseases and Gene Expression in Insects 5
- Genetics 17
- Virus-based gene therapy research 11
- Co-authors
- O.V. Miller (10 shared papers)R. H. Burris (5 shared papers)Philip C. Craven (2 shared papers)David Williams (2 shared papers)R. Mutharasan (4 shared papers)John R. Graybill (1 shared paper)Robert L. Taylor (1 shared paper)William L. Miller (2 shared papers)
- Journals
- Virology (8 papers)Veterinary Microbiology (3 papers)Biotechnology Letters (3 papers)Annals of the New York Academy of Sciences (3 papers)Infection and Immunity (2 papers)
- Partner nations
- United States
In The Last Decade
Wayne E. Magee
58 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 124
- Virology 118
- Infectious Diseases 278
- Pharmaceutical Science 88
- Molecular Biology 805
- Biochemistry 82
Countries citing papers authored by Wayne E. Magee
This map shows the geographic impact of Wayne E. Magee'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 Wayne E. Magee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne E. Magee more than expected).
Fields of papers citing papers by Wayne E. Magee
This network shows the impact of papers produced by Wayne E. Magee. 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 Wayne E. Magee. The network helps show where Wayne E. Magee may publish in the future.
Co-authors
The 25 scholars most cited alongside Wayne E. Magee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1982 | 184 | |
| 2 | 1982 | 141 | |
| 3 | 1956 | 124 | |
| 4 | 1974 | 120 | |
| 5 | 1972 | 73 | |
| 6 | 1987 | 67 | |
| 7 | 1958 | 67 | |
| 8 | 1973 | 62 | |
| 9 | 1973 | 61 | |
| 10 | 1954 | 55 | |
| 11 | 1962 | 54 | |
| 12 | 1954 | 53 | |
| 13 | 1974 | 45 | |
| 14 | 1994 | 43 | |
| 15 | 1967 | 37 | |
| 16 | 1960 | 35 | |
| 17 | 1962 | 34 | |
| 18 | 1987 | 33 | |
| 19 | 1968 | 33 | |
| 20 | 1976 | 29 |
About Wayne E. Magee
Wayne E. Magee is a scholar working on Molecular Biology, Genetics, Epidemiology, Virology and Immunology, having authored 58 papers that have together received 1.8k indexed citations. Recurring topics across this work include Virus-based gene therapy research (11 papers), Poxvirus research and outbreaks (7 papers), RNA Interference and Gene Delivery (6 papers), Herpesvirus Infections and Treatments (6 papers), Inflammatory mediators and NSAID effects (5 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Meat and Animal Product Quality (4 papers). The work is most often cited by research in Virology (118 citations), Infectious Diseases (278 citations), Pharmaceutical Science (88 citations), Molecular Biology (805 citations) and Biochemistry (82 citations). Wayne E. Magee has collaborated with scholars based in United States. Frequent co-authors include O.V. Miller, R. H. Burris, Philip C. Craven, David Williams, R. Mutharasan, John R. Graybill, Robert L. Taylor, William L. Miller, Donald W. DuCharme and Seymour Levine. Their work appears in journals such as Virology, Veterinary Microbiology, Biotechnology Letters, Annals of the New York Academy of Sciences and Infection and Immunity.
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.