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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- Advanced biosensing and bioanalysis techniques 1
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- Silk-based biomaterials and applications 5
- Supramolecular Self-Assembly in Materials 1
- Co-authors
- Matthew M. Jacobsen (5 shared papers)David Starobinski (1 shared paper)Joyce Wong (5 shared papers)David L. Kaplan (4 shared papers)Shangchao Lin (2 shared papers)Cristian Staii (3 shared papers)Daniel J. Rizzo (2 shared papers)Wenwen Huang (3 shared papers)
- Journals
- BMC Immunology (1 paper)Scientific Reports (1 paper)Journal of Structural Biology (1 paper)Nature Communications (1 paper)Journal of neurosurgery (1 paper)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
David Li
12 papers receiving 296 citations
Peers
Comparison fields: 5 of 71
- Biomaterials 164
- Surfaces, Coatings and Films 29
- Microbiology 17
- Computer Networks and Communications 33
- 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 | 119 | |
| 2 | 2019 | 61 | |
| 3 | 2014 | 29 | |
| 4 | 2017 | 28 | |
| 5 | 2008 | 28 | |
| 6 | 2017 | 20 | |
| 7 | 2017 | 9 | |
| 8 | 1992 | 5 | |
| 9 | 2008 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 1989 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 |
About David Li
David Li is a scholar working on Molecular Biology, Biomaterials, Surfaces, Coatings and Films, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 304 indexed citations. Recurring topics across this work include Silk-based biomaterials and applications (5 papers), Advanced Materials and Mechanics (2 papers), Polymer Surface Interaction Studies (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Spine and Intervertebral Disc Pathology (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Supramolecular Self-Assembly in Materials (1 paper) and Transgenic Plants and Applications (1 paper). The work is most often cited by research in Biomaterials (164 citations), Surfaces, Coatings and Films (29 citations), Microbiology (17 citations), Computer Networks and Communications (33 citations) and Biomedical Engineering (64 citations). David Li has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Matthew M. Jacobsen, David Starobinski, Joyce Wong, David L. Kaplan, Shangchao Lin, Cristian Staii, Daniel J. Rizzo, Wenwen Huang, Markus J. Buehler and Olena Tokareva. Their work appears in journals such as BMC Immunology, Scientific Reports, Journal of Structural Biology, Nature Communications and Journal of neurosurgery.
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.