Michael Nunn
- Virology top 5%
- HIV Research and Treatment 5
- Immunology and Allergy top 2%
- Immunology top 10%
- T-cell and Retrovirus Studies 3
- Hematology top 5%
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms 4
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- Virus-based gene therapy research 5
- Animal Genetics and Reproduction 3
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- Animal Virus Infections Studies 5
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- Plant Virus Research Studies 5
- Chromosomal and Genetic Variations 3
- Co-authors
- Peter DuesbergC. MoscoviciPeter H. SeeburgJon W. MarshMichael S. MulliganP A WardMargaret J. PolleyRobert Bayer
- Journals
- Journal of Virology (3 papers)Virology (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Michael Nunn
24 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 105
- Virology 195
- Immunology and Allergy 224
- Immunology 415
- Hematology 166
- Molecular Biology 862
Countries citing papers authored by Michael Nunn
This map shows the geographic impact of Michael Nunn'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 Michael Nunn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Nunn more than expected).
Fields of papers citing papers by Michael Nunn
This network shows the impact of papers produced by Michael Nunn. 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 Michael Nunn. The network helps show where Michael Nunn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Nunn, 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 | 2016 | 37 | |
| 2 | 2008 | 12 | |
| 3 | 2003 | 68 | |
| 4 | 1996 | 2 | |
| 5 | 1992 | 8 | |
| 6 | 1992 | 322 | |
| 7 | 1991 | 59 | |
| 8 | 1991 | 49 | |
| 9 | 1990 | 26 | |
| 10 | 1990 | 12 | |
| 11 | 1989 | 50 | |
| 12 | 1985 | 2 | |
| 13 | 1985 | 158 | |
| 14 | 1984 | 8 | |
| 15 | 1984 | 2 | |
| 16 | 1984 | 53 | |
| 17 | 1983 | 1 | |
| 18 | 1982 | 77 | |
| 19 | 1981 | 12 | |
| 20 | 1980 | 33 |
About Michael Nunn
Michael Nunn is a scholar working on Virology, Animal Science and Zoology, Immunology and Allergy, Genetics and Immunology, having authored 25 papers that have together received 1.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (5 papers), Virus-based gene therapy research (5 papers), Animal Virus Infections Studies (5 papers), Plant Virus Research Studies (5 papers), RNA and protein synthesis mechanisms (4 papers), T-cell and Retrovirus Studies (3 papers), Chromosomal and Genetic Variations (3 papers) and Animal Genetics and Reproduction (3 papers). The work is most often cited by research in Virology (195 citations), Immunology and Allergy (224 citations), Immunology (415 citations), Hematology (166 citations) and Molecular Biology (862 citations). Michael Nunn has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Peter Duesberg, C. Moscovici, Peter H. Seeburg, Jon W. Marsh, Michael S. Mulligan, P A Ward, Margaret J. Polley, Robert Bayer, James C. Paulson and D K Watson. Their work appears in journals such as Journal of Virology, Virology, Proceedings of the National Academy of Sciences, Journal of Clinical Microbiology and Nature.
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.