David S.H. Chu
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Polymers and Plastics top 10%
- Dendrimers and Hyperbranched Polymers
Papers in
-
- RNA Interference and Gene Delivery 11
- Advanced biosensing and bioanalysis techniques 6
- Genetics 3
- Virus-based gene therapy research 3
- Co-authors
- Suzie H. Pun (12 shared papers)Joan G. Schellinger (6 shared papers)Hua Wei (4 shared papers)Julie Shi (4 shared papers)Oscar Negrete (2 shared papers)Benhur Lee (2 shared papers)Hector C. Aguilar (2 shared papers)Anthony J. Convertine (2 shared papers)
- Journals
- Journal of Controlled Release (4 papers)Biomaterials (3 papers)Journal of Virology (2 papers)Biomaterials Science (1 paper)Biological Bulletin (1 paper)
- Partner nations
- United StatesTaiwanIndia
In The Last Decade
David S.H. Chu
18 papers receiving 820 citations
Peers
Comparison fields: 5 of 82
- Biomaterials 175
- Polymers and Plastics 106
- Surfaces, Coatings and Films 49
- Molecular Biology 450
- Virology 26
Countries citing papers authored by David S.H. Chu
This map shows the geographic impact of David S.H. Chu'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 David S.H. Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S.H. Chu more than expected).
Fields of papers citing papers by David S.H. Chu
This network shows the impact of papers produced by David S.H. Chu. 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 David S.H. Chu. The network helps show where David S.H. Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside David S.H. Chu, 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 | 2013 | 109 | |
| 2 | 2012 | 103 | |
| 3 | 2007 | 84 | |
| 4 | 2011 | 71 | |
| 5 | 2013 | 70 | |
| 6 | 2012 | 61 | |
| 7 | 2012 | 54 | |
| 8 | 2012 | 49 | |
| 9 | 2008 | 40 | |
| 10 | 2011 | 39 | |
| 11 | 2013 | 32 | |
| 12 | 2016 | 31 | |
| 13 | 2015 | 25 | |
| 14 | 2011 | 22 | |
| 15 | 2014 | 20 | |
| 16 | 2013 | 8 | |
| 17 | Uterine epithelioid trophoblastic tumor in an African green monkey (Chlorocebus aethiops sabaeus). | 2007 | 3 |
| 18 | 1993 | 2 |
About David S.H. Chu
David S.H. Chu is a scholar working on Molecular Biology, Genetics, Organic Chemistry, Epidemiology and Biomaterials, having authored 18 papers that have together received 823 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (11 papers), Advanced biosensing and bioanalysis techniques (6 papers), Virus-based gene therapy research (3 papers), Virology and Viral Diseases (2 papers), Antimicrobial Peptides and Activities (2 papers), Dendrimers and Hyperbranched Polymers (2 papers), Respiratory viral infections research (2 papers) and Silk-based biomaterials and applications (1 paper). The work is most often cited by research in Biomaterials (175 citations), Polymers and Plastics (106 citations), Surfaces, Coatings and Films (49 citations), Molecular Biology (450 citations) and Virology (26 citations). David S.H. Chu has collaborated with scholars based in United States, Taiwan and India. Frequent co-authors include Suzie H. Pun, Joan G. Schellinger, Hua Wei, Julie Shi, Oscar Negrete, Benhur Lee, Hector C. Aguilar, Anthony J. Convertine, Patrick S. Stayton and Drew L. Sellers. Their work appears in journals such as Journal of Controlled Release, Biomaterials, Journal of Virology, Biomaterials Science and Biological Bulletin.
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.