Greg K. Tharp
Impact in
- Virology top 5%
- HIV Research and Treatment
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
- Virology 3
- HIV Research and Treatment 3
-
- COVID-19 Clinical Research Studies 2
- SARS-CoV-2 and COVID-19 Research 1
- Co-authors
- Steven Bosinger (3 shared papers)Rama Rao Amara (2 shared papers)Victor I. Band (1 shared paper)Carmen M. Herrera (1 shared paper)Jan Pohl (1 shared paper)Timothy D. Read (1 shared paper)David S. Weiss (1 shared paper)Emily K. Crispell (1 shared paper)
- Journals
- Nature Communications (3 papers)Nature Microbiology (2 papers)Nature (2 papers)Science Translational Medicine (1 paper)Cell Reports Medicine (1 paper)
- Partner nations
- United StatesMexico
In The Last Decade
Greg K. Tharp
10 papers receiving 751 citations
Greg K. Tharp's Hit Papers
Peers
Comparison fields: 5 of 44
- Virology 249
- Molecular Medicine 96
- Infectious Diseases 57
- Neurology 32
- Clinical Biochemistry 8
Countries citing papers authored by Greg K. Tharp
This map shows the geographic impact of Greg K. Tharp'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 Greg K. Tharp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg K. Tharp more than expected).
Fields of papers citing papers by Greg K. Tharp
This network shows the impact of papers produced by Greg K. Tharp. 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 Greg K. Tharp. The network helps show where Greg K. Tharp may publish in the future.
Co-authors
The 22 scholars most cited alongside Greg K. Tharp, 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 | Systemic HIV and SIV latency reversal via non-canonical NF-κB signalling in vivo Hit paper breakdown → | 2020 | 241 |
| 2 | 2016 | 200 | |
| 3 | 2016 | 144 | |
| 4 | 2015 | 69 | |
| 5 | 2024 | 38 | |
| 6 | 2023 | 33 | |
| 7 | 2024 | 16 | |
| 8 | 2024 | 14 | |
| 9 | 2025 | 5 | |
| 10 | 2026 | 2 | |
| 11 | 2025 | 0 | |
| 12 | 2026 | 0 | |
| 13 | 2026 | 0 |
About Greg K. Tharp
Greg K. Tharp is a scholar working on Virology, Infectious Diseases, Neurology, Applied Microbiology and Biotechnology and Molecular Medicine, having authored 13 papers that have together received 762 indexed citations. Recurring topics across this work include HIV Research and Treatment (3 papers), COVID-19 Clinical Research Studies (2 papers), Long-Term Effects of COVID-19 (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper), Antibiotic Use and Resistance (1 paper), Antibiotic Resistance in Bacteria (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Virology (249 citations), Molecular Medicine (96 citations), Infectious Diseases (57 citations), Neurology (32 citations) and Clinical Biochemistry (8 citations). Greg K. Tharp has collaborated with scholars based in United States and Mexico. Frequent co-authors include Steven Bosinger, Rama Rao Amara, Victor I. Band, Carmen M. Herrera, Jan Pohl, Timothy D. Read, David S. Weiss, Emily K. Crispell, Brooke A. Napier and M. Stephen Trent. Their work appears in journals such as Nature Communications, Nature Microbiology, Nature, Science Translational Medicine and Cell Reports Medicine.
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.