David L. Kaplan
Impact in
- Biomaterials top 0.01%
- Silk-based biomaterials and applications
- Electrospun Nanofibers in Biomedical Applications
- Surfaces, Coatings and Films top 0.01%
- Polymer Surface Interaction Studies
Papers in
- Biomaterials 1.0k
- Silk-based biomaterials and applications 907
- Electrospun Nanofibers in Biomedical Applications 304
-
- Polymer Surface Interaction Studies 97
- Co-authors
- Vassilis KarageorgiouFiorenzo G. OmenettoPeggy CebeHyoung‐Joon JinXiao HuGordana Vunjak‐NovakovicXiaoqin WangChunmei Li
- Journals
- Biomaterials (132 papers)ACS Biomaterials Science & Engineering (75 papers)Biomacromolecules (67 papers)Acta Biomaterialia (56 papers)Advanced Materials (48 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
David L. Kaplan
1.6k papers receiving 127.1k citations
Hit Papers
Peers
Comparison fields: 5 of 231
- Biomaterials 78.7k
- Surfaces, Coatings and Films 10.8k
- Biomedical Engineering 49.9k
- Urology 6.4k
- Microbiology 5.7k
Countries citing papers authored by David L. Kaplan
This map shows the geographic impact of David L. Kaplan'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 L. Kaplan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David L. Kaplan more than expected).
Fields of papers citing papers by David L. Kaplan
This network shows the impact of papers produced by David L. Kaplan. 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 L. Kaplan. The network helps show where David L. Kaplan may publish in the future.
Co-authors
The 25 scholars most cited alongside David L. Kaplan, 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 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 10 | |
| 9 | 2022 | 63 | |
| 10 | 2021 | 0 | |
| 11 | 2021 | 85 | |
| 12 | 2020 | 2 | |
| 13 | 2020 | 28 | |
| 14 | 2019 | 54 | |
| 15 | 2017 | 63 | |
| 16 | 2017 | 10 | |
| 17 | 2015 | 70 | |
| 18 | 2013 | 60 | |
| 19 | 2010 | 152 | |
| 20 | 2007 | 99 |
About David L. Kaplan
David L. Kaplan is a scholar working on Biomaterials, Surfaces, Coatings and Films, Microbiology, Urology and Biomedical Engineering, having authored 1.6k papers that have together received 129.8k indexed citations. Recurring topics across this work include Silk-based biomaterials and applications (907 papers), Electrospun Nanofibers in Biomedical Applications (304 papers), Bone Tissue Engineering Materials (206 papers), Biochemical and Structural Characterization (168 papers), 3D Printing in Biomedical Research (118 papers), Antimicrobial Peptides and Activities (98 papers), Polymer Surface Interaction Studies (97 papers) and Periodontal Regeneration and Treatments (92 papers). The work is most often cited by research in Biomaterials (78.7k citations), Surfaces, Coatings and Films (10.8k citations), Biomedical Engineering (49.9k citations), Urology (6.4k citations) and Microbiology (5.7k citations). David L. Kaplan has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Vassilis Karageorgiou, Fiorenzo G. Omenetto, Peggy Cebe, Hyoung‐Joon Jin, Xiao Hu, Gordana Vunjak‐Novakovic, Xiaoqin Wang, Chunmei Li, Qiang Lü and Michael L. Lovett. Their work appears in journals such as Biomaterials, ACS Biomaterials Science & Engineering, Biomacromolecules, Acta Biomaterialia and Advanced Materials.
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.