Jay S. Epstein

4.5k total citations
112 papers, 2.8k citations indexed

About

Jay S. Epstein is a scholar working on Infectious Diseases, Virology and Epidemiology. According to data from OpenAlex, Jay S. Epstein has authored 112 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Infectious Diseases, 29 papers in Virology and 27 papers in Epidemiology. Recurrent topics in Jay S. Epstein's work include HIV Research and Treatment (29 papers), Blood donation and transfusion practices (22 papers) and HIV/AIDS drug development and treatment (21 papers). Jay S. Epstein is often cited by papers focused on HIV Research and Treatment (29 papers), Blood donation and transfusion practices (22 papers) and HIV/AIDS drug development and treatment (21 papers). Jay S. Epstein collaborates with scholars based in United States, Netherlands and Taiwan. Jay S. Epstein's 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 and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Jay S. Epstein

110 papers receiving 2.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jay S. Epstein United States 28 756 748 678 454 432 112 2.8k
Janine Jason United States 29 651 0.9× 684 0.9× 571 0.8× 237 0.5× 727 1.7× 89 3.0k
Tzong‐Hae Lee United States 30 562 0.7× 1.1k 1.5× 680 1.0× 427 0.9× 1.1k 2.5× 74 3.6k
Syria Laperche France 35 2.3k 3.0× 1.2k 1.6× 416 0.6× 177 0.4× 161 0.4× 179 3.8k
Paul Giangrande United Kingdom 31 725 1.0× 643 0.9× 1.4k 2.1× 678 1.5× 1.4k 3.2× 103 5.5k
Paul V. Holland United States 40 2.4k 3.2× 817 1.1× 193 0.3× 320 0.7× 452 1.0× 140 5.4k
Sheila M. Keating United States 36 1.3k 1.7× 1.8k 2.4× 1.8k 2.7× 878 1.9× 1.4k 3.1× 127 4.6k
Leslie H. Tobler United States 37 3.0k 3.9× 1.6k 2.1× 438 0.6× 226 0.5× 606 1.4× 74 5.2k
Elizabeth Donegan United States 23 1.0k 1.3× 354 0.5× 249 0.4× 73 0.2× 294 0.7× 55 2.1k
M. Elaine Eyster United States 34 2.1k 2.8× 1.5k 2.0× 1.1k 1.7× 386 0.9× 597 1.4× 124 5.1k
Gregory A. Foster United States 22 805 1.1× 1.4k 1.9× 102 0.2× 119 0.3× 201 0.5× 46 2.6k

Countries citing papers authored by Jay S. Epstein

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Jay S. Epstein

This figure shows the co-authorship network connecting the top 25 collaborators of Jay S. Epstein. A scholar is included among the top collaborators of Jay S. Epstein based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jay S. Epstein. Jay S. Epstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Burnouf, Thierry, et al.. (2023). Stepwise options for preparing therapeutic plasma proteins from domestic plasma in low‐ and middle‐income countries. Vox Sanguinis. 119(2). 102–109. 4 indexed citations
2.
3.
4.
Epstein, Jay S., et al.. (2020). Plasma-based COVID-19 treatments in low-and middle-income countries and the risk of transfusion-transmitted infections. npj Vaccines. 5(1). 103–103. 1 indexed citations
5.
Marks, Peter, Jay S. Epstein, & Luciana Borio. (2016). Maintaining a Safe Blood Supply in an Era of Emerging Pathogens. The Journal of Infectious Diseases. 213(11). 1676–1677. 15 indexed citations
6.
Sridhar, GR, Mikhail V. Ovanesov, Richard A. Forshee, et al.. (2015). Clotting factor product administration and same‐day occurrence of thrombotic events, as recorded in a large healthcare database during 2008–2013. Journal of Thrombosis and Haemostasis. 13(12). 2168–2179. 20 indexed citations
7.
Gallagher, Lou, Peter R. Ganz, Hong Yang, et al.. (2012). Advancing risk assessment for emerging infectious diseases for blood and blood products: proceedings of a public workshop. Transfusion. 53(2). 455–463. 10 indexed citations
8.
Atreya, Chintamani D., Hira L. Nakhasi, Jay S. Epstein, et al.. (2011). FDA workshop on emerging infectious diseases: evaluating emerging infectious diseases (EIDs) for transfusion safety. Transfusion. 51(8). 1855–1871. 15 indexed citations
9.
Gubernot, Diane M., et al.. (2009). CONFERENCE REPORT: Transfusion‐transmitted babesiosis in the United States: summary of a workshop. Transfusion. 49(12). 2759–2771. 61 indexed citations
10.
Epstein, Jay S., Rainer Seitz, Peter R. Ganz, et al.. (2009). Role of regulatory agencies. Biologicals. 37(2). 94–102. 13 indexed citations
11.
Alvarado‐Ramy, Francisco, Matthew J. Kuehnert, Juan Alonso‐Echanove, et al.. (2006). A multistate cluster of red blood cell transfusion reactions associated with use of a leucocyte reduction filter. Transfusion Medicine. 16(1). 41–48. 14 indexed citations
12.
Biswas, Robin, Edward Tabor, Chu Chieh Hsia, et al.. (2003). Comparative sensitivity of HBV NATs and HBsAg assays for detection of acute HBV infection. Transfusion. 43(6). 788–798. 208 indexed citations
13.
Tabor, Edward & Jay S. Epstein. (2002). NAT screening of blood and plasma donations: evolution of technology and regulatory policy*. Transfusion. 42(9). 1230–1237. 40 indexed citations
14.
Tokars, Jerome I., Loretta A. Carson, Matthew J. Arduino, et al.. (2000). Enterobacter cloacae Bloodstream Infections Traced to Contaminated Human Albumin. Clinical Infectious Diseases. 30(1). 35–40. 19 indexed citations
15.
Busch, Michael P., Mary E. Chamberland, Jay S. Epstein, et al.. (1999). Oversight and Monitoring of Blood Safety in the United States. Vox Sanguinis. 77(2). 67–76. 29 indexed citations
16.
Louie, A, Larry M. Wahl, Indira Hewlett, Jay S. Epstein, & Subhash Dhawan. (1996). Impaired antigen presentation to CD4+ T‐cells by HIV‐infected monocytes is related to down‐modulation of CD4 expression on helper T‐cells: Possible involvement of HIV‐induced cellular factors. FEBS Letters. 398(1). 1–6. 7 indexed citations
17.
Selvam, Mouna P., et al.. (1996). Inhibition of HIV replication by immunoliposomal antisense oligonucleotide. Antiviral Research. 33(1). 11–20. 22 indexed citations
18.
Dhawan, Subhash, et al.. (1994). Interferon-γ Induces Resistance in Primary Monocytes against Human Immunodeficiency Virus Type-1 Infection. Biochemical and Biophysical Research Communications. 201(2). 756–761. 13 indexed citations
19.
Selvam, Mouna P., et al.. (1993). Inhibition of HIV-1 Replication in H9 Cells by Nystatin-A Compared with Other Antiviral Agents. AIDS Research and Human Retroviruses. 9(5). 475–481. 20 indexed citations
20.
Epstein, Jay S., et al.. (1989). SERODIAGNOSIS OF INFECTION WITH THE AIDS VIRUS AND OTHER HUMAN RETROVIRUSES. Annual Review of Microbiology. 43(1). 629–659. 19 indexed citations

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.

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