Jay C. Sy
Impact in
- Molecular Medicine top 5%
- Hydrogels: synthesis, properties, applications
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
- Nanoparticle-Based Drug Delivery
Papers in
-
- Electrospun Nanofibers in Biomedical Applications 4
- Nanoparticle-Based Drug Delivery 2
- biodegradable polymer synthesis and properties 2
-
- 3D Printing in Biomedical Research 3
- Co-authors
- Niren Murthy (7 shared papers)Andrés J. Garcı́a (3 shared papers)Edward A. Phelps (3 shared papers)Nduka Enemchukwu (2 shared papers)Vincent F. Fiore (2 shared papers)Thomas H. Barker (2 shared papers)Todd Sulchek (2 shared papers)Michael Davis (6 shared papers)
- Journals
- Biomaterials (3 papers)Advanced Materials (3 papers)Scientific Reports (2 papers)Journal of Vision (2 papers)Organic Letters (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Jay C. Sy
20 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 127
- Molecular Medicine 142
- Biomaterials 361
- Biomedical Engineering 500
- Cellular and Molecular Neuroscience 161
- Surfaces, Coatings and Films 59
Countries citing papers authored by Jay C. Sy
This map shows the geographic impact of Jay C. Sy'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 C. Sy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay C. Sy more than expected).
Fields of papers citing papers by Jay C. Sy
This network shows the impact of papers produced by Jay C. Sy. 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 C. Sy. The network helps show where Jay C. Sy may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay C. Sy, 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 | 2011 | 432 | |
| 2 | 2017 | 149 | |
| 3 | 2008 | 99 | |
| 4 | 2009 | 79 | |
| 5 | 2008 | 75 | |
| 6 | 2005 | 68 | |
| 7 | 2009 | 66 | |
| 8 | 2014 | 46 | |
| 9 | 2010 | 46 | |
| 10 | 2017 | 35 | |
| 11 | 2014 | 34 | |
| 12 | 2010 | 28 | |
| 13 | 2006 | 23 | |
| 14 | 2010 | 22 | |
| 15 | 2011 | 6 | |
| 16 | 2022 | 3 | |
| 17 | 2014 | 1 | |
| 18 | 2004 | 1 | |
| 19 | 2013 | 1 | |
| 20 | 1988 | 1 |
About Jay C. Sy
Jay C. Sy is a scholar working on Biomaterials, Biomedical Engineering, Molecular Biology, Surgery and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (4 papers), Neuroscience and Neural Engineering (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), 3D Printing in Biomedical Research (3 papers), Cellular Mechanics and Interactions (3 papers), Nanoparticle-Based Drug Delivery (2 papers), biodegradable polymer synthesis and properties (2 papers) and Visual perception and processing mechanisms (2 papers). The work is most often cited by research in Molecular Medicine (142 citations), Biomaterials (361 citations), Biomedical Engineering (500 citations), Cellular and Molecular Neuroscience (161 citations) and Surfaces, Coatings and Films (59 citations). Jay C. Sy has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Niren Murthy, Andrés J. Garcı́a, Edward A. Phelps, Nduka Enemchukwu, Vincent F. Fiore, Thomas H. Barker, Todd Sulchek, Michael Davis, Kevin C. Spencer and Michael J. Cima. Their work appears in journals such as Biomaterials, Advanced Materials, Scientific Reports, Journal of Vision and Organic Letters.
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.