Jay J. Greenblatt

2.6k total citations · 1 hit paper
17 papers, 1.9k citations indexed

About

Jay J. Greenblatt is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Jay J. Greenblatt has authored 17 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Genetics. Recurrent topics in Jay J. Greenblatt's work include Virus-based gene therapy research (3 papers), Immune Response and Inflammation (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Jay J. Greenblatt is often cited by papers focused on Virus-based gene therapy research (3 papers), Immune Response and Inflammation (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Jay J. Greenblatt collaborates with scholars based in United States, Switzerland and Malaysia. Jay J. Greenblatt's co-authors include John H. Schwab, Thomas A. Fleisher, R. Michael Blaese, Charles S. Carter, Paul Tolstoshev, Linda Muul, Gene M. Shearer, A. Dusty Miller, Craig A. Mullen and Kenneth W. Culver and has published in prestigious journals such as Science, The Journal of Experimental Medicine and Journal of Clinical Oncology.

In The Last Decade

Jay J. Greenblatt

17 papers receiving 1.8k citations

Hit Papers

T Lymphocyte-Directed Gene Therapy for ADA − SCID: Initia... 1995 2026 2005 2015 1995 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jay J. Greenblatt United States 12 1.2k 1.1k 599 436 177 17 1.9k
Laurent Humeau United States 26 1.1k 1.0× 822 0.7× 429 0.7× 542 1.2× 221 1.2× 64 2.2k
Brian Agricola United States 22 1.5k 1.3× 1.4k 1.3× 537 0.9× 269 0.6× 386 2.2× 35 2.2k
Elizabeth E. Eynon United States 22 624 0.5× 499 0.4× 417 0.7× 1.7k 3.8× 302 1.7× 42 2.6k
Denise R. Shaw United States 21 858 0.7× 392 0.4× 298 0.5× 493 1.1× 67 0.4× 34 1.4k
Moanaro Biswas United States 23 539 0.5× 550 0.5× 351 0.6× 300 0.7× 134 0.8× 52 1.3k
C J Melief Netherlands 21 864 0.7× 382 0.3× 559 0.9× 1.8k 4.1× 104 0.6× 41 2.5k
Michael Blaese United States 20 322 0.3× 308 0.3× 290 0.5× 460 1.1× 67 0.4× 29 1.0k
Danuta Kozbor United States 31 778 0.7× 325 0.3× 608 1.0× 1.3k 3.0× 136 0.8× 70 2.5k
C. de Taisne France 11 885 0.8× 253 0.2× 144 0.2× 580 1.3× 107 0.6× 16 1.7k
J. Victor Garcia United States 25 1.2k 1.0× 944 0.8× 449 0.7× 1.2k 2.8× 86 0.5× 42 3.3k

Countries citing papers authored by Jay J. Greenblatt

Since Specialization
Citations

This map shows the geographic impact of Jay J. Greenblatt'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 J. Greenblatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay J. Greenblatt more than expected).

Fields of papers citing papers by Jay J. Greenblatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay J. Greenblatt. 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 J. Greenblatt. The network helps show where Jay J. Greenblatt may publish in the future.

Co-authorship network of co-authors of Jay J. Greenblatt

This figure shows the co-authorship network connecting the top 25 collaborators of Jay J. Greenblatt. A scholar is included among the top collaborators of Jay J. Greenblatt 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 J. Greenblatt. Jay J. Greenblatt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Schwab, John H., Neil Hunter, & Jay J. Greenblatt. (2021). Antibody response to streptococcal cell wall antigens associated with experimental arthritis in rats.. PubMed. 42(3). 450–7. 1 indexed citations
2.
Angulo, Frederick J., Elizabeth A. Talbot, E. Gagnon, & Jay J. Greenblatt. (2006). Common Ground for the Control of Multidrug-Resistant Salmonella in Ground Beef. Clinical Infectious Diseases. 42(10). 1455–1462. 26 indexed citations
3.
Carbone, David P., I. Frank Ciernik, Michael J. Kelley, et al.. (2005). Immunization With Mutantp53- andK-ras–Derived Peptides in Cancer Patients: Immune Response and Clinical Outcome. Journal of Clinical Oncology. 23(22). 5099–5107. 127 indexed citations
4.
Gordon, Jon W., et al.. (1998). Recombinant DNA Advisory Committee Meeting, National Institutes of Health, 9000 Rockville Pike, Bethesda, Maryland 20892, March 10 1998: Department of Health and Human Services - National Institutes of Health. Human Gene Therapy. 9(16). 2427–2454. 4 indexed citations
5.
Montello, Michael, et al.. (1998). Accessing investigational anticancer agents outside of clinical trials. American Journal of Health-System Pharmacy. 55(7). 651–652. 1 indexed citations
7.
Dunbar, Cynthia E., Michele Cottler‐Fox, J. O’Shaughnessy, et al.. (1995). Retrovirally marked CD34-enriched peripheral blood and bone marrow cells contribute to long-term engraftment after autologous transplantation. Blood. 85(11). 3048–3057. 405 indexed citations
8.
Blaese, R. Michael, Kenneth W. Culver, A. Dusty Miller, et al.. (1995). T Lymphocyte-Directed Gene Therapy for ADA SCID: Initial Trial Results After 4 Years. Science. 270(5235). 475–480. 983 indexed citations breakdown →
9.
Greenblatt, Jay J., Kyle A. Floyd, Muriel Philipps, & Carl E. Frasch. (1988). Morphological differences in Neisseria meningitidis pili. Infection and Immunity. 56(9). 2356–2362. 16 indexed citations
10.
Eisenberg, Robert A., Alvin Fox, Jay J. Greenblatt, et al.. (1982). Measurement of bacterial cell wall in tissues by solid-phase radioimmunoassay: correlation of distribution and persistence with experimental arthritis in rats. Infection and Immunity. 38(1). 127–135. 78 indexed citations
11.
Greenblatt, Jay J., et al.. (1979). Effect of group A streptococcal peptidoglycan and group A streptococcal cell wall on bone in tissue culture. Archives of Oral Biology. 24(7). 495–498. 13 indexed citations
12.
Anderle, S K, Jay J. Greenblatt, William J. Cromartie, Richard L. Clark, & John H. Schwab. (1979). Modulation of the susceptibility of inbred and outbred rats to arthritis induced by cell walls of group A streptococci. Infection and Immunity. 25(2). 484–490. 26 indexed citations
13.
Greenblatt, Jay J., Robert J. Boackle, & John H. Schwab. (1978). Activation of the alternate complement pathway by peptidoglycan from streptococcal cell wall. Infection and Immunity. 19(1). 296–303. 107 indexed citations
14.
Greenblatt, Jay J., David I. Bernstein, Viktor A. Bokisch, Thomas J. Kindt, & Richard M. Krause. (1973). Recovery of Large Amounts of Antibody from Immunized Rabbits by Multiple Non-Surgical Exchange Transfusions. The Journal of Immunology. 110(3). 862–866. 12 indexed citations
15.
Eichmann, Klaus & Jay J. Greenblatt. (1971). RELATIONSHIPS BETWEEN RELATIVE BINDING AFFINITY AND ELECTROPHORETIC BEHAVIOR OF RABBIT ANTIBODIES TO STREPTOCOCCAL CARBOHYDRATES. The Journal of Experimental Medicine. 133(3). 424–441. 49 indexed citations
16.
Greenblatt, Jay J., Klaus Eichmann, Dieter Braun, & R. M. Krause. (1971). Factors that Enhance the Potency of Streptococcal Group-Specific Antisera. The Journal of Infectious Diseases. 124(4). 387–393. 7 indexed citations
17.
Nixon, J. C., et al.. (1966). Myoglobinuria and skeletal muscle phosphorylase deficiency: report of a case of McArdle's disease.. PubMed. 94(19). 977–85. 4 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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