Margaret Sharp
Impact in
- Virology top 2%
- Poxvirus research and outbreaks
- Parasitology top 2%
Papers in
- Epidemiology 19
- Herpesvirus Infections and Treatments 15
- Cytomegalovirus and herpesvirus research 8
- Virology and Viral Diseases 5
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- Animal Virus Infections Studies 11
- Co-authors
- Ann M. Arvin (11 shared papers)Hideomi Asanuma (2 shared papers)Holden T. Maecker (3 shared papers)C. M. Koropchak (2 shared papers)Shane Raidal (8 shared papers)Paul R. Ehrlich (2 shared papers)Vernon C. Maino (1 shared paper)Atsuko Hata (1 shared paper)
- Journals
- The Journal of Infectious Diseases (8 papers)Ecology (2 papers)The Journal of Immunology (2 papers)Journal of General Virology (2 papers)JNCI Journal of the National Cancer Institute (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Margaret Sharp
32 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 79
- Virology 296
- Parasitology 247
- Epidemiology 1.2k
- Animal Science and Zoology 326
- Immunology 340
Countries citing papers authored by Margaret Sharp
This map shows the geographic impact of Margaret Sharp'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 Margaret Sharp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margaret Sharp more than expected).
Fields of papers citing papers by Margaret Sharp
This network shows the impact of papers produced by Margaret Sharp. 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 Margaret Sharp. The network helps show where Margaret Sharp may publish in the future.
Co-authors
The 25 scholars most cited alongside Margaret Sharp, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 205 | |
| 2 | 2000 | 168 | |
| 3 | 2004 | 153 | |
| 4 | 1992 | 139 | |
| 5 | 1991 | 103 | |
| 6 | 1972 | 87 | |
| 7 | 2006 | 77 | |
| 8 | 1995 | 70 | |
| 9 | 1992 | 66 | |
| 10 | 2005 | 66 | |
| 11 | 1998 | 55 | |
| 12 | 2003 | 52 | |
| 13 | 2004 | 43 | |
| 14 | 1974 | 42 | |
| 15 | 1991 | 38 | |
| 16 | 2009 | 38 | |
| 17 | 2002 | 34 | |
| 18 | 1979 | 34 | |
| 19 | 2006 | 28 | |
| 20 | 2008 | 28 |
About Margaret Sharp
Margaret Sharp is a scholar working on Epidemiology, Animal Science and Zoology, Genetics, Virology and Immunology, having authored 33 papers that have together received 1.7k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (15 papers), Animal Virus Infections Studies (11 papers), Virus-based gene therapy research (8 papers), Cytomegalovirus and herpesvirus research (8 papers), Virology and Viral Diseases (5 papers), Plant Virus Research Studies (4 papers), HIV Research and Treatment (3 papers) and Poxvirus research and outbreaks (2 papers). The work is most often cited by research in Virology (296 citations), Parasitology (247 citations), Epidemiology (1.2k citations), Animal Science and Zoology (326 citations) and Immunology (340 citations). Margaret Sharp has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Ann M. Arvin, Hideomi Asanuma, Holden T. Maecker, C. M. Koropchak, Shane Raidal, Paul R. Ehrlich, Vernon C. Maino, Atsuko Hata, Ruby M. Wong and Mary Rinki. Their work appears in journals such as The Journal of Infectious Diseases, Ecology, The Journal of Immunology, Journal of General Virology and JNCI Journal of the National Cancer Institute.
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.