Jay Brownell
Impact in
- Virology top 5%
- HIV Research and Treatment
- Infectious Diseases top 10%
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
Papers in
-
- HIV/AIDS drug development and treatment 6
- HIV/AIDS Research and Interventions 2
- Virology 3
- HIV Research and Treatment 3
- Co-authors
- Robert Vince (11 shared papers)Susan M. Daluge (3 shared papers)George C. Lavelle (2 shared papers)Eileen M. Peterson (1 shared paper)Joseph G. Mayo (1 shared paper)William M. Shannon (1 shared paper)Hua Mei (1 shared paper)Michael R. Boyd (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (3 papers)Biochemical and Biophysical Research Communications (3 papers)Biochemistry (1 paper)Nucleosides Nucleotides & Nucleic Acids (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- United States
In The Last Decade
Jay Brownell
12 papers receiving 389 citations
Peers
Comparison fields: 5 of 50
- Virology 141
- Infectious Diseases 249
- Organic Chemistry 168
- Physiology 25
- Molecular Biology 247
Countries citing papers authored by Jay Brownell
This map shows the geographic impact of Jay Brownell'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 Jay Brownell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Brownell more than expected).
Fields of papers citing papers by Jay Brownell
This network shows the impact of papers produced by Jay Brownell. 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 Jay Brownell. The network helps show where Jay Brownell may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay Brownell, 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 | 1988 | 215 | |
| 2 | 1990 | 83 | |
| 3 | 1992 | 42 | |
| 4 | 1984 | 26 | |
| 5 | 1999 | 21 | |
| 6 | 1986 | 13 | |
| 7 | 1995 | 11 | |
| 8 | 1979 | 8 | |
| 9 | 1989 | 7 | |
| 10 | 1978 | 7 | |
| 11 | 1977 | 6 | |
| 12 | 2014 | 1 |
About Jay Brownell
Jay Brownell is a scholar working on Infectious Diseases, Virology, Molecular Biology, Physiology and Clinical Biochemistry, having authored 12 papers that have together received 440 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (6 papers), Biochemical and Molecular Research (3 papers), HIV Research and Treatment (3 papers), HIV/AIDS Research and Interventions (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Chemical Synthesis and Analysis (2 papers), Cytomegalovirus and herpesvirus research (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Virology (141 citations), Infectious Diseases (249 citations), Organic Chemistry (168 citations), Physiology (25 citations) and Molecular Biology (247 citations). Jay Brownell has collaborated with scholars based in United States. Frequent co-authors include Robert Vince, Susan M. Daluge, George C. Lavelle, Eileen M. Peterson, Joseph G. Mayo, William M. Shannon, Hua Mei, Michael R. Boyd, Ven L. Narayanan and Rebecca F. Kiser. Their work appears in journals such as Journal of Medicinal Chemistry, Biochemical and Biophysical Research Communications, Biochemistry, Nucleosides Nucleotides & Nucleic Acids and Bioorganic & Medicinal Chemistry Letters.
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.