Peter J. Dailey
Impact in
- Virology top 0.1%
- HIV Research and Treatment
- Infectious Diseases top 1%
- HIV/AIDS Research and Interventions
- HIV/AIDS drug development and treatment
Papers in
- Virology 34
- HIV Research and Treatment 34
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- HIV/AIDS Research and Interventions 22
- HIV/AIDS drug development and treatment 13
- Co-authors
- Preston A. Marx (6 shared papers)Agegnehu Gettie (6 shared papers)David D. Ho (4 shared papers)Alan S. Perelson (2 shared papers)Ronald S. Veazey (4 shared papers)Alejo Erice (2 shared papers)Keith Henry (2 shared papers)Holly Melroe (2 shared papers)
- Journals
- Journal of Virology (11 papers)AIDS Research and Human Retroviruses (4 papers)Nature Medicine (3 papers)Journal of Clinical Microbiology (2 papers)Blood (2 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Peter J. Dailey
50 papers receiving 3.3k citations
Peter J. Dailey's Hit Papers
Peers
Comparison fields: 5 of 96
- Virology 2.5k
- Infectious Diseases 1.4k
- Immunology 1.1k
- Epidemiology 923
- Microbiology 177
Countries citing papers authored by Peter J. Dailey
This map shows the geographic impact of Peter J. Dailey'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 Peter J. Dailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter J. Dailey more than expected).
Fields of papers citing papers by Peter J. Dailey
This network shows the impact of papers produced by Peter J. Dailey. 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 Peter J. Dailey. The network helps show where Peter J. Dailey may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter J. Dailey, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Quantitative Image Analysis of HIV-1 Infection in Lymphoid Tissue Hit paper breakdown → | 1996 | 513 |
| 2 | 1996 | 390 | |
| 3 | 1999 | 305 | |
| 4 | 1998 | 219 | |
| 5 | 1999 | 156 | |
| 6 | 1998 | 134 | |
| 7 | 1997 | 126 | |
| 8 | 1998 | 115 | |
| 9 | 1999 | 101 | |
| 10 | 1986 | 90 | |
| 11 | 1998 | 82 | |
| 12 | 1999 | 79 | |
| 13 | 1999 | 73 | |
| 14 | 2000 | 65 | |
| 15 | 1997 | 61 | |
| 16 | 2002 | 58 | |
| 17 | 2001 | 58 | |
| 18 | 1998 | 54 | |
| 19 | 2000 | 54 | |
| 20 | 1998 | 53 |
About Peter J. Dailey
Peter J. Dailey is a scholar working on Virology, Infectious Diseases, Epidemiology, Immunology and Hepatology, having authored 52 papers that have together received 3.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (34 papers), HIV/AIDS Research and Interventions (22 papers), HIV/AIDS drug development and treatment (13 papers), Immune Cell Function and Interaction (8 papers), Hepatitis C virus research (8 papers), Cytomegalovirus and herpesvirus research (7 papers), Hepatitis B Virus Studies (6 papers) and Virology and Viral Diseases (4 papers). The work is most often cited by research in Virology (2.5k citations), Infectious Diseases (1.4k citations), Immunology (1.1k citations), Epidemiology (923 citations) and Microbiology (177 citations). Peter J. Dailey has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Preston A. Marx, Agegnehu Gettie, David D. Ho, Alan S. Perelson, Ronald S. Veazey, Alejo Erice, Keith Henry, Holly Melroe, Russell A. Faust and Andrew A. Lackner. Their work appears in journals such as Journal of Virology, AIDS Research and Human Retroviruses, Nature Medicine, Journal of Clinical Microbiology and Blood.
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.