David Li
Impact in
- Biomaterials top 10%
- Silk-based biomaterials and applications
- Electrospun Nanofibers in Biomedical Applications
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- Polymer Surface Interaction Studies
Papers in
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- Silk-based biomaterials and applications 5
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- RNA Interference and Gene Delivery 1
- Co-authors
- Matthew M. Jacobsen (5 shared papers)Joyce Wong (5 shared papers)David Starobinski (1 shared paper)David L. Kaplan (4 shared papers)Cristian Staii (3 shared papers)Markus J. Buehler (3 shared papers)Wenwen Huang (3 shared papers)Olena Tokareva (3 shared papers)
- Journals
- Nature Communications (1 paper)Pharmacological Research (1 paper)Scientific Reports (1 paper)Journal of neurosurgery (1 paper)Journal of Structural Biology (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
David Li
12 papers receiving 300 citations
Peers
Comparison fields: 5 of 70
- Biomaterials 167
- Surfaces, Coatings and Films 28
- Microbiology 17
- Molecular Biology 100
- Biomedical Engineering 64
Countries citing papers authored by David Li
This map shows the geographic impact of David Li'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 Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Li more than expected).
Fields of papers citing papers by David Li
This network shows the impact of papers produced by David Li. 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 Li. The network helps show where David Li may publish in the future.
Co-authors
The 25 scholars most cited alongside David Li, 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 | 2015 | 121 | |
| 2 | 2019 | 61 | |
| 3 | 2014 | 30 | |
| 4 | 2017 | 28 | |
| 5 | 2008 | 28 | |
| 6 | 2017 | 20 | |
| 7 | 2017 | 10 | |
| 8 | 1992 | 5 | |
| 9 | 2008 | 2 | |
| 10 | 1989 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About David Li
David Li is a scholar working on Biomaterials, Molecular Biology, Surfaces, Coatings and Films, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 16 papers that have together received 308 indexed citations. Recurring topics across this work include Silk-based biomaterials and applications (5 papers), Polymer Surface Interaction Studies (2 papers), Advanced Materials and Mechanics (2 papers), Bluetooth and Wireless Communication Technologies (1 paper), Artificial Immune Systems Applications (1 paper), Retinal Imaging and Analysis (1 paper), Digital Imaging for Blood Diseases (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Biomaterials (167 citations), Surfaces, Coatings and Films (28 citations), Microbiology (17 citations), Molecular Biology (100 citations) and Biomedical Engineering (64 citations). David Li has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Matthew M. Jacobsen, Joyce Wong, David Starobinski, David L. Kaplan, Cristian Staii, Markus J. Buehler, Wenwen Huang, Olena Tokareva, Shangchao Lin and Daniel J. Rizzo. Their work appears in journals such as Nature Communications, Pharmacological Research, Scientific Reports, Journal of neurosurgery and Journal of Structural Biology.
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.