Jay J. Greenblatt

2.6k citations
17 papers · 1.9k indexed · 1 hit paper · h-index 12

Jay J. Greenblatt

17 papers receiving 1.8k citations

Hit Papers

T Lymphocyte-Directed Gene Therapy for ADA − SCID: Initia...9831995202620052015250500750

Peers

Jay J. Greenblatt
Comparison fields: 5 of 89
  • Genetics 1.1k
  • Oncology 599
  • Immunology 436
  • Molecular Biology 1.2k
  • Hematology 177
Replace Brian Agricola with:
Brian Agricola United States
Elizabeth E. Eynon United States
Denise R. Shaw United States
C J Melief Netherlands
Terry A. Potter United States
L. Dmochowski United States
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Michael Blaese United States
Maria Ferrantini Italy
Morris Ling United States
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Citations per field
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Citations per year

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

The 25 scholars most cited alongside Jay J. Greenblatt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jay J. Greenblatt Line = papers co-authored together Jay J. Greenblatt links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20211
2 200626
3 2005127
4
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
19984
5 19981
6 199756
7 1995405
8
T Lymphocyte-Directed Gene Therapy for ADA SCID: Initial Trial Results After 4 Yearsbreakdown →
1995983
9 198816
10 198278
11 197913
12 197926
13 1978107
14 197312
15 197149
16 19717
17
Myoglobinuria and skeletal muscle phosphorylase deficiency: report of a case of McArdle's disease.
19664

About Jay J. Greenblatt

Jay J. Greenblatt is a scholar working on Hematology, Immunology and Periodontics, having authored 17 papers that have together received 1.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), Immune Response and Inflammation (3 papers), Glycosylation and Glycoproteins Research (2 papers), CAR-T cell therapy research (2 papers), RNA Interference and Gene Delivery (2 papers), Biochemical and Structural Characterization (2 papers), Immunotherapy and Immune Responses (2 papers) and Streptococcal Infections and Treatments (2 papers). The work is most often cited by research in Genetics (1.1k citations), Oncology (599 citations) and Immunology (436 citations). Jay J. Greenblatt has collaborated with scholars based in United States, Switzerland and Malaysia. Frequent 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. Their work appears in journals such as Science, The Journal of Experimental Medicine and Journal of Clinical Oncology.

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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