Keiji Numata
Impact in
- Biomaterials top 0.05%
- Silk-based biomaterials and applications
- biodegradable polymer synthesis and properties
- Electrospun Nanofibers in Biomedical Applications
- Supramolecular Self-Assembly in Materials
Papers in
- Biomaterials 167
- Silk-based biomaterials and applications 92
- biodegradable polymer synthesis and properties 64
- Supramolecular Self-Assembly in Materials 27
- Electrospun Nanofibers in Biomedical Applications 22
- Co-authors
- David L. KaplanKousuke TsuchiyaKenjiro YazawaJo‐Ann ChuahJelena Rnjak‐KovacinaChris HollandF. Philipp SeibHiroyasu Masunaga
- Journals
- Biomacromolecules (47 papers)Polymer Journal (17 papers)Macromolecular Bioscience (15 papers)ACS Biomaterials Science & Engineering (12 papers)Scientific Reports (10 papers)
- Partner nations
- JapanUnited StatesMalaysia
In The Last Decade
Keiji Numata
248 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Biomaterials 5.4k
- Process Chemistry and Technology 254
- Surfaces, Coatings and Films 618
- Microbiology 485
- Molecular Biology 3.8k
Countries citing papers authored by Keiji Numata
This map shows the geographic impact of Keiji Numata'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 Keiji Numata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiji Numata more than expected).
Fields of papers citing papers by Keiji Numata
This network shows the impact of papers produced by Keiji Numata. 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 Keiji Numata. The network helps show where Keiji Numata may publish in the future.
Co-authors
The 25 scholars most cited alongside Keiji Numata, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 7 | |
| 11 | 2022 | 24 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 17 | |
| 14 | 2021 | 32 | |
| 15 | 2021 | 25 | |
| 16 | 2021 | 70 | |
| 17 | 2019 | 19 | |
| 18 | 2018 | 24 | |
| 19 | 2018 | 6 | |
| 20 | 2016 | 2 |
About Keiji Numata
Keiji Numata is a scholar working on Biomaterials, Process Chemistry and Technology, Pollution, Microbiology and Structural Biology, having authored 258 papers that have together received 8.7k indexed citations. Recurring topics across this work include Silk-based biomaterials and applications (92 papers), biodegradable polymer synthesis and properties (64 papers), RNA Interference and Gene Delivery (45 papers), Microplastics and Plastic Pollution (30 papers), Biochemical and Structural Characterization (28 papers), Supramolecular Self-Assembly in Materials (27 papers), Photosynthetic Processes and Mechanisms (23 papers) and Electrospun Nanofibers in Biomedical Applications (22 papers). The work is most often cited by research in Biomaterials (5.4k citations), Process Chemistry and Technology (254 citations), Surfaces, Coatings and Films (618 citations), Microbiology (485 citations) and Molecular Biology (3.8k citations). Keiji Numata has collaborated with scholars based in Japan, United States and Malaysia. Frequent co-authors include David L. Kaplan, Kousuke Tsuchiya, Kenjiro Yazawa, Jo‐Ann Chuah, Jelena Rnjak‐Kovacina, Chris Holland, F. Philipp Seib, Hiroyasu Masunaga, Yutaka Kodama and Ali D. Malay. Their work appears in journals such as Biomacromolecules, Polymer Journal, Macromolecular Bioscience, ACS Biomaterials Science & Engineering and Scientific Reports.
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.