Jay S. Epstein
Impact in
- Virology top 1%
- HIV Research and Treatment
- Biochemistry top 2%
- Blood transfusion and management
Papers in
-
- HIV/AIDS drug development and treatment 21
- Virology 29
- HIV Research and Treatment 29
- Co-authors
- Indira Hewlett (15 shared papers)Robert M. Lafrenie (3 shared papers)Kenneth M. Yamada (3 shared papers)Subhash Dhawan (6 shared papers)Edward Tabor (4 shared papers)Thierry Burnouf (8 shared papers)Gerald V. Quinnan (8 shared papers)Jaroslav G. Vostal (2 shared papers)
- Journals
- Transfusion (18 papers)Vox Sanguinis (13 papers)The Journal of Infectious Diseases (7 papers)AIDS Research and Human Retroviruses (5 papers)Biologicals (4 papers)
- Partner nations
- United StatesNetherlandsTaiwan
In The Last Decade
Jay S. Epstein
111 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 144
- Virology 658
- Biochemistry 267
- Hepatology 294
- Management of Technology and Innovation 303
- Infectious Diseases 628
Countries citing papers authored by Jay S. Epstein
This map shows the geographic impact of Jay S. Epstein'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 S. Epstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay S. Epstein more than expected).
Fields of papers citing papers by Jay S. Epstein
This network shows the impact of papers produced by Jay S. Epstein. 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 S. Epstein. The network helps show where Jay S. Epstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay S. Epstein, 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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 220 | |
| 2 | 2003 | 200 | |
| 3 | 1989 | 192 | |
| 4 | 1986 | 138 | |
| 5 | 1996 | 125 | |
| 6 | 1996 | 110 | |
| 7 | 1991 | 104 | |
| 8 | 1997 | 93 | |
| 9 | 1990 | 86 | |
| 10 | 2009 | 82 | |
| 11 | 2012 | 80 | |
| 12 | 1989 | 70 | |
| 13 | 2017 | 69 | |
| 14 | 2009 | 65 | |
| 15 | 2016 | 65 | |
| 16 | 1986 | 60 | |
| 17 | 2020 | 58 | |
| 18 | 2008 | 46 | |
| 19 | 2002 | 42 | |
| 20 | 1993 | 41 |
About Jay S. Epstein
Jay S. Epstein is a scholar working on Infectious Diseases, Virology, Epidemiology, Management of Technology and Innovation and Hematology, having authored 113 papers that have together received 3.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (29 papers), Blood donation and transfusion practices (21 papers), HIV/AIDS drug development and treatment (21 papers), Blood groups and transfusion (14 papers), Hepatitis B Virus Studies (12 papers), Hepatitis C virus research (11 papers), T-cell and Retrovirus Studies (7 papers) and Cytomegalovirus and herpesvirus research (7 papers). The work is most often cited by research in Virology (658 citations), Biochemistry (267 citations), Hepatology (294 citations), Management of Technology and Innovation (303 citations) and Infectious Diseases (628 citations). Jay S. Epstein has collaborated with scholars based in United States, Netherlands and Taiwan. Frequent co-authors include Indira Hewlett, Robert M. Lafrenie, Kenneth M. Yamada, Subhash Dhawan, Edward Tabor, Thierry Burnouf, Gerald V. Quinnan, Jaroslav G. Vostal, Michael P. Busch and Jesse L. Goodman. Their work appears in journals such as Transfusion, Vox Sanguinis, The Journal of Infectious Diseases, AIDS Research and Human Retroviruses and Biologicals.
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.