Tetsuo Asakura
Impact in
- Biomaterials top 0.02%
- Silk-based biomaterials and applications
- Electrospun Nanofibers in Biomedical Applications
- Microbiology top 0.1%
- Antimicrobial Peptides and Activities
Papers in
- Biomaterials 277
- Silk-based biomaterials and applications 256
- Electrospun Nanofibers in Biomedical Applications 44
- Co-authors
- Makoto Demura (48 shared papers)Yasumoto Nakazawa (45 shared papers)Michael P. Williamson (18 shared papers)Kosuke Ohgo (21 shared papers)Juming Yao (13 shared papers)Hazime Saitô (10 shared papers)Chenhua Zhao (5 shared papers)Tsunenori Kameda (13 shared papers)
- Journals
- Macromolecules (57 papers)Polymer Journal (28 papers)Biomacromolecules (27 papers)Polymer (26 papers)Biopolymers (13 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Tetsuo Asakura
410 papers receiving 11.6k citations
Peers
Comparison fields: 5 of 137
- Biomaterials 8.5k
- Microbiology 1.4k
- Insect Science 2.1k
- Surfaces, Coatings and Films 1.1k
- Spectroscopy 1.4k
Countries citing papers authored by Tetsuo Asakura
This map shows the geographic impact of Tetsuo Asakura'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 Tetsuo Asakura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuo Asakura more than expected).
Fields of papers citing papers by Tetsuo Asakura
This network shows the impact of papers produced by Tetsuo Asakura. 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 Tetsuo Asakura. The network helps show where Tetsuo Asakura may publish in the future.
Co-authors
The 25 scholars most cited alongside Tetsuo Asakura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 416 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 297 | |
| 2 | 2004 | 270 | |
| 3 | 2002 | 209 | |
| 4 | 2001 | 199 | |
| 5 | 2015 | 179 | |
| 6 | 2002 | 179 | |
| 7 | 2009 | 177 | |
| 8 | 2000 | 160 | |
| 9 | 1984 | 159 | |
| 10 | 1990 | 158 | |
| 11 | 1999 | 149 | |
| 12 | 2001 | 149 | |
| 13 | 1991 | 144 | |
| 14 | 2001 | 143 | |
| 15 | 1993 | 143 | |
| 16 | 2006 | 142 | |
| 17 | 1995 | 130 | |
| 18 | 2003 | 124 | |
| 19 | 1989 | 122 | |
| 20 | 2010 | 113 |
About Tetsuo Asakura
Tetsuo Asakura is a scholar working on Biomaterials, Molecular Biology, Insect Science, Spectroscopy and Microbiology, having authored 416 papers that have together received 11.8k indexed citations. Recurring topics across this work include Silk-based biomaterials and applications (256 papers), Silkworms and Sericulture Research (73 papers), Antimicrobial Peptides and Activities (56 papers), Advanced NMR Techniques and Applications (52 papers), Electrospun Nanofibers in Biomedical Applications (44 papers), Neurobiology and Insect Physiology Research (42 papers), Insect and Arachnid Ecology and Behavior (38 papers) and Molecular spectroscopy and chirality (24 papers). The work is most often cited by research in Biomaterials (8.5k citations), Microbiology (1.4k citations), Insect Science (2.1k citations), Surfaces, Coatings and Films (1.1k citations) and Spectroscopy (1.4k citations). Tetsuo Asakura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Makoto Demura, Yasumoto Nakazawa, Michael P. Williamson, Kosuke Ohgo, Juming Yao, Hazime Saitô, Chenhua Zhao, Tsunenori Kameda, Tsutomu Yamane and Ryoko Tabeta. Their work appears in journals such as Macromolecules, Polymer Journal, Biomacromolecules, Polymer and Biopolymers.
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.