J D Mosca
Impact in
- Virology top 1%
- HIV Research and Treatment
- Epidemiology top 2%
- Herpesvirus Infections and Treatments
- Cytomegalovirus and herpesvirus research
Papers in
- Virology 16
- HIV Research and Treatment 11
- Poxvirus research and outbreaks 5
- Epidemiology 13
- Herpesvirus Infections and Treatments 12
- Cytomegalovirus and herpesvirus research 5
- Co-authors
- Paula M. Pitha (8 shared papers)Daniel P. Bednarik (4 shared papers)Nitin Raj (4 shared papers)Liyanage P. Perera (6 shared papers)C A Rosen (2 shared papers)William A. Haseltine (2 shared papers)Mark F. Pittenger (1 shared paper)Kevin R. McIntosh (1 shared paper)
- Journals
- Journal of Virology (13 papers)Proceedings of the National Academy of Sciences (3 papers)Blood (2 papers)Molecular and Cellular Biology (2 papers)Virology (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
J D Mosca
29 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 81
- Virology 678
- Epidemiology 960
- Immunology 572
- Infectious Diseases 377
- Genetics 200
Countries citing papers authored by J D Mosca
This map shows the geographic impact of J D Mosca'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 J D Mosca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J D Mosca more than expected).
Fields of papers citing papers by J D Mosca
This network shows the impact of papers produced by J D Mosca. 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 J D Mosca. The network helps show where J D Mosca may publish in the future.
Co-authors
The 25 scholars most cited alongside J D Mosca, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 244 | |
| 2 | 1987 | 196 | |
| 3 | 1986 | 178 | |
| 4 | 2000 | 171 | |
| 5 | 1997 | 156 | |
| 6 | 1992 | 98 | |
| 7 | 1986 | 96 | |
| 8 | 1989 | 87 | |
| 9 | 1992 | 85 | |
| 10 | 1991 | 84 | |
| 11 | 1994 | 79 | |
| 12 | 1987 | 78 | |
| 13 | 1993 | 72 | |
| 14 | 1995 | 68 | |
| 15 | 1981 | 63 | |
| 16 | 1994 | 61 | |
| 17 | 1995 | 44 | |
| 18 | 1994 | 41 | |
| 19 | 1991 | 34 | |
| 20 | 1992 | 27 |
About J D Mosca
J D Mosca is a scholar working on Virology, Epidemiology, Immunology, Molecular Biology and Genetics, having authored 29 papers that have together received 2.1k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (12 papers), HIV Research and Treatment (11 papers), Immune Cell Function and Interaction (5 papers), Cytomegalovirus and herpesvirus research (5 papers), Poxvirus research and outbreaks (5 papers), Virus-based gene therapy research (5 papers), HIV/AIDS drug development and treatment (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Virology (678 citations), Epidemiology (960 citations), Immunology (572 citations), Infectious Diseases (377 citations) and Genetics (200 citations). J D Mosca has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Paula M. Pitha, Daniel P. Bednarik, Nitin Raj, Liyanage P. Perera, C A Rosen, William A. Haseltine, Mark F. Pittenger, Kevin R. McIntosh, Gary S. Hayward and J. Hay. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Blood, Molecular and Cellular Biology and Virology.
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.