Kazuei Mita
Impact in
- Insect Science top 0.05%
- Silkworms and Sericulture Research
- Insect Utilization and Effects
- Biomaterials top 0.5%
- Silk-based biomaterials and applications
Papers in
-
- Insect Resistance and Genetics 47
- Viral Infectious Diseases and Gene Expression in Insects 26
-
- Silkworms and Sericulture Research 35
- Co-authors
- Toru Shimada (54 shared papers)Sachiko Ichimura (26 shared papers)Susumu Katsuma (25 shared papers)Toshiki Namiki (6 shared papers)Toshiki Tamura (15 shared papers)Hideki Kawasaki (11 shared papers)Keiko Kadono‐Okuda (17 shared papers)Takaaki Daimon (12 shared papers)
- Journals
- Insect Biochemistry and Molecular Biology (29 papers)Gene (12 papers)Journal of Biological Chemistry (11 papers)Proceedings of the National Academy of Sciences (8 papers)Journal of Molecular Evolution (7 papers)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Kazuei Mita
208 papers receiving 8.4k citations
Peers
Comparison fields: 5 of 130
- Insect Science 3.5k
- Biomaterials 1.8k
- Cellular and Molecular Neuroscience 2.3k
- Genetics 2.4k
- Immunology 1.5k
Countries citing papers authored by Kazuei Mita
This map shows the geographic impact of Kazuei Mita'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 Kazuei Mita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuei Mita more than expected).
Fields of papers citing papers by Kazuei Mita
This network shows the impact of papers produced by Kazuei Mita. 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 Kazuei Mita. The network helps show where Kazuei Mita may publish in the future.
Co-authors
The 25 scholars most cited alongside Kazuei Mita, 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 212 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 268 | |
| 2 | 2004 | 251 | |
| 3 | 2003 | 223 | |
| 4 | 2009 | 220 | |
| 5 | 2004 | 217 | |
| 6 | 1994 | 207 | |
| 7 | 1994 | 202 | |
| 8 | 2006 | 198 | |
| 9 | 2012 | 184 | |
| 10 | 2008 | 164 | |
| 11 | 1997 | 164 | |
| 12 | 2007 | 144 | |
| 13 | 2012 | 138 | |
| 14 | 2005 | 121 | |
| 15 | 2001 | 117 | |
| 16 | 2010 | 115 | |
| 17 | 2008 | 112 | |
| 18 | 2007 | 112 | |
| 19 | 2001 | 104 | |
| 20 | 2009 | 99 |
About Kazuei Mita
Kazuei Mita is a scholar working on Molecular Biology, Insect Science, Biomaterials, Cellular and Molecular Neuroscience and Genetics, having authored 212 papers that have together received 8.6k indexed citations. Recurring topics across this work include Silk-based biomaterials and applications (59 papers), Neurobiology and Insect Physiology Research (58 papers), Insect Resistance and Genetics (47 papers), Invertebrate Immune Response Mechanisms (35 papers), Silkworms and Sericulture Research (35 papers), Insect and Arachnid Ecology and Behavior (30 papers), Viral Infectious Diseases and Gene Expression in Insects (26 papers) and Chromosomal and Genetic Variations (18 papers). The work is most often cited by research in Insect Science (3.5k citations), Biomaterials (1.8k citations), Cellular and Molecular Neuroscience (2.3k citations), Genetics (2.4k citations) and Immunology (1.5k citations). Kazuei Mita has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Toru Shimada, Sachiko Ichimura, Susumu Katsuma, Toshiki Namiki, Toshiki Tamura, Hideki Kawasaki, Keiko Kadono‐Okuda, Takaaki Daimon, Masataka G. Suzuki and Hideki Sezutsu. Their work appears in journals such as Insect Biochemistry and Molecular Biology, Gene, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences and Journal of Molecular Evolution.
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.