Scott S. Terhune
Impact in
- Epidemiology top 1%
- Cytomegalovirus and herpesvirus research
- Herpesvirus Infections and Treatments
- Parasitology top 2%
- Toxoplasma gondii Research Studies
Papers in
- Epidemiology 41
- Cytomegalovirus and herpesvirus research 35
- Herpesvirus Infections and Treatments 19
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- RNA regulation and disease 11
- Co-authors
- Thomas Shenk (7 shared papers)Nathaniel J. Moorman (6 shared papers)Ileana M. Cristea (4 shared papers)Justin M. Reitsma (9 shared papers)Michael P. Rout (3 shared papers)Brian T. Chait (3 shared papers)John P. Savaryn (7 shared papers)Felicia Goodrum (4 shared papers)
- Journals
- Journal of Virology (19 papers)PLoS Pathogens (4 papers)mBio (3 papers)Antiviral Research (3 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesGermanyRussia
In The Last Decade
Scott S. Terhune
59 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 88
- Epidemiology 1.3k
- Parasitology 236
- Virology 161
- Immunology 411
- Infectious Diseases 178
Countries citing papers authored by Scott S. Terhune
This map shows the geographic impact of Scott S. Terhune'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 Scott S. Terhune with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott S. Terhune more than expected).
Fields of papers citing papers by Scott S. Terhune
This network shows the impact of papers produced by Scott S. Terhune. 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 Scott S. Terhune. The network helps show where Scott S. Terhune may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott S. Terhune, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 167 | |
| 2 | 2007 | 137 | |
| 3 | 2010 | 133 | |
| 4 | 2004 | 120 | |
| 5 | 1994 | 85 | |
| 6 | 2016 | 82 | |
| 7 | 2004 | 73 | |
| 8 | 2011 | 67 | |
| 9 | 2010 | 64 | |
| 10 | 2011 | 59 | |
| 11 | 2021 | 49 | |
| 12 | 2013 | 49 | |
| 13 | 2019 | 47 | |
| 14 | 2001 | 47 | |
| 15 | 2018 | 42 | |
| 16 | 2001 | 40 | |
| 17 | 1999 | 40 | |
| 18 | 2011 | 39 | |
| 19 | 2018 | 37 | |
| 20 | 1998 | 36 |
About Scott S. Terhune
Scott S. Terhune is a scholar working on Epidemiology, Molecular Biology, Oncology, Virology and Immunology, having authored 60 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (35 papers), Herpesvirus Infections and Treatments (19 papers), RNA regulation and disease (11 papers), HIV Research and Treatment (7 papers), Virus-based gene therapy research (6 papers), interferon and immune responses (4 papers), Viral-associated cancers and disorders (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Epidemiology (1.3k citations), Parasitology (236 citations), Virology (161 citations), Immunology (411 citations) and Infectious Diseases (178 citations). Scott S. Terhune has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Thomas Shenk, Nathaniel J. Moorman, Ileana M. Cristea, Justin M. Reitsma, Michael P. Rout, Brian T. Chait, John P. Savaryn, Felicia Goodrum, Laimonis A. Laimins and Tarin M. Bigley. Their work appears in journals such as Journal of Virology, PLoS Pathogens, mBio, Antiviral Research 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.