Steven M. Jay
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Biomaterials top 1%
- Electrospun Nanofibers in Biomedical Applications
Papers in
-
- MicroRNA in disease regulation 20
- Biomaterials 19
- Electrospun Nanofibers in Biomedical Applications 16
- Co-authors
- Anjana JeyaramTek N. LamichhaneW. Mark SaltzmanDivya PatelJohn S. SchardtJohn P. FisherThemis R. KyriakidesLouis J. Born
- Journals
- Bioengineering & Translational Medicine (4 papers)Advanced Healthcare Materials (3 papers)Cytotherapy (3 papers)Tissue Engineering Part A (3 papers)Science Translational Medicine (3 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Steven M. Jay
78 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Cancer Research 1.3k
- Biomaterials 995
- Aging 108
- Molecular Biology 3.3k
- Genetics 424
Countries citing papers authored by Steven M. Jay
This map shows the geographic impact of Steven M. Jay'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 Steven M. Jay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven M. Jay more than expected).
Fields of papers citing papers by Steven M. Jay
This network shows the impact of papers produced by Steven M. Jay. 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 Steven M. Jay. The network helps show where Steven M. Jay may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steven M. Jay, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 39 | |
| 6 | 2021 | 93 | |
| 7 | 2020 | 30 | |
| 8 | 2019 | 20 | |
| 9 | 2018 | 112 | |
| 10 | 2017 | 5 | |
| 11 | 2017 | 25 | |
| 12 | 2017 | 2 | |
| 13 | 2017 | 346 | |
| 14 | 2016 | 296 | |
| 15 | 2012 | 408 | |
| 16 | Engineered Bivalent Ligands to Bias ErbB Receptor-mediated Signaling and Phenotypes | 2011 | 9 |
| 17 | 2011 | 21 | |
| 18 | 2009 | 37 | |
| 19 | 2009 | 35 | |
| 20 | 2006 | 1 |
About Steven M. Jay
Steven M. Jay is a scholar working on Cancer Research, Biomaterials, Molecular Biology, Microbiology and Pharmaceutical Science, having authored 83 papers that have together received 5.3k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (43 papers), MicroRNA in disease regulation (20 papers), Electrospun Nanofibers in Biomedical Applications (16 papers), Tissue Engineering and Regenerative Medicine (15 papers), RNA Interference and Gene Delivery (13 papers), HER2/EGFR in Cancer Research (5 papers), 3D Printing in Biomedical Research (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Cancer Research (1.3k citations), Biomaterials (995 citations), Aging (108 citations), Molecular Biology (3.3k citations) and Genetics (424 citations). Steven M. Jay has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Anjana Jeyaram, Tek N. Lamichhane, W. Mark Saltzman, Divya Patel, John S. Schardt, John P. Fisher, Themis R. Kyriakides, Louis J. Born, Jordan S. Pober and Richard Lee. Their work appears in journals such as Bioengineering & Translational Medicine, Advanced Healthcare Materials, Cytotherapy, Tissue Engineering Part A and Science Translational Medicine.
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.