Jay J. Greenblatt
- Molecular Biology top 10%
- Genetics top 2%
- Oncology top 5%
- Immunology top 5%
- Hematology top 5%
- Co-authors
- John H. SchwabThomas A. FleisherR. Michael BlaeseCharles S. CarterPaul TolstoshevLinda MuulGene M. ShearerA. Dusty Miller
- Topics
- Virus-based gene therapy research (3 papers)Immune Response and Inflammation (3 papers)Glycosylation and Glycoproteins Research (2 papers)
- Cited by
- GeneticsOncologyImmunology
- Partner nations
- United StatesSwitzerlandMalaysia
In The Last Decade
Jay J. Greenblatt
17 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Molecular Biology 1.2k
- Genetics 1.1k
- Oncology 599
- Immunology 436
- Hematology 177
Countries citing papers authored by Jay J. Greenblatt
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 26 | |
| 3 | 127 | |
| 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 | 4 |
| 5 | 1 | |
| 6 | 56 | |
| 7 | 405 | |
| 8 | T Lymphocyte-Directed Gene Therapy for ADA − SCID: Initial Trial Results After 4 Yearsbreakdown → | 983 |
| 9 | 16 | |
| 10 | 78 | |
| 11 | 13 | |
| 12 | 26 | |
| 13 | 107 | |
| 14 | 12 | |
| 15 | 49 | |
| 16 | 7 | |
| 17 | Myoglobinuria and skeletal muscle phosphorylase deficiency: report of a case of McArdle's disease. | 4 |
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) and Glycosylation and Glycoproteins Research (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.