Jay S. Epstein
- Virology top 1%
- HIV Research and Treatment 29
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- Blood donation and transfusion practices 22
- Hepatology top 2%
- Hepatitis C virus research 12
- Biochemistry top 2%
- Infectious Diseases top 2%
- HIV/AIDS drug development and treatment 21
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- Blood groups and transfusion 16
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- Hepatitis B Virus Studies 13
- Cytomegalovirus and herpesvirus research 7
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- T-cell and Retrovirus Studies 7
- Co-authors
- Indira HewlettRobert M. LafrenieKenneth M. YamadaSubhash DhawanEdward TaborThierry BurnoufGerald V. QuinnanJaroslav G. Vostal
- Journals
- Transfusion (18 papers)Vox Sanguinis (13 papers)The Journal of Infectious Diseases (7 papers)
- Partner nations
- United StatesNetherlandsTaiwan
In The Last Decade
Jay S. Epstein
110 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 147
- Virology 678
- Management of Technology and Innovation 368
- Hepatology 374
- Biochemistry 275
- Infectious Diseases 748
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 4 | |
| 2 | 2022 | 3 | |
| 3 | 2020 | 14 | |
| 4 | 2020 | 1 | |
| 5 | 2016 | 15 | |
| 6 | 2015 | 20 | |
| 7 | 2012 | 10 | |
| 8 | 2011 | 15 | |
| 9 | 2009 | 61 | |
| 10 | 2009 | 13 | |
| 11 | 2006 | 14 | |
| 12 | 2003 | 208 | |
| 13 | 2002 | 40 | |
| 14 | 2000 | 19 | |
| 15 | 1999 | 29 | |
| 16 | 1996 | 7 | |
| 17 | 1996 | 22 | |
| 18 | 1994 | 13 | |
| 19 | 1993 | 20 | |
| 20 | 1989 | 19 |
About Jay S. Epstein
Jay S. Epstein is a scholar working on Virology, Management of Technology and Innovation, Infectious Diseases, Hematology and Hepatology, having authored 112 papers that have together received 2.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (29 papers), Blood donation and transfusion practices (22 papers), HIV/AIDS drug development and treatment (21 papers), Blood groups and transfusion (16 papers), Hepatitis B Virus Studies (13 papers), Hepatitis C virus research (12 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 (678 citations), Management of Technology and Innovation (368 citations), Hepatology (374 citations), Biochemistry (275 citations) and Infectious Diseases (748 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 Christopher D. Hillyer. 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.