Kazuei Mita

11.5k total citations
212 papers, 8.6k citations indexed

About

Kazuei Mita is a scholar working on Molecular Biology, Insect Science and Biomaterials. According to data from OpenAlex, Kazuei Mita has authored 212 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Molecular Biology, 72 papers in Insect Science and 63 papers in Biomaterials. Recurrent topics in Kazuei Mita's work include Silk-based biomaterials and applications (59 papers), Neurobiology and Insect Physiology Research (58 papers) and Insect Resistance and Genetics (47 papers). Kazuei Mita is often cited by papers focused on Silk-based biomaterials and applications (59 papers), Neurobiology and Insect Physiology Research (58 papers) and Insect Resistance and Genetics (47 papers). Kazuei Mita collaborates with scholars based in Japan, China and United States. Kazuei Mita's co-authors include Toru Shimada, Sachiko Ichimura, Susumu Katsuma, Toshiki Namiki, Toshiki Tamura, Hideki Kawasaki, Keiko Kadono‐Okuda, Takaaki Daimon, Hideki Sezutsu and Masataka G. Suzuki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Kazuei Mita

208 papers receiving 8.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kazuei Mita Japan 54 4.6k 3.5k 2.4k 2.3k 1.8k 212 8.6k
Toru Shimada Japan 46 3.9k 0.9× 3.6k 1.0× 2.1k 0.9× 1.5k 0.7× 1.3k 0.7× 241 7.2k
Zhonghuai Xiang China 48 3.3k 0.7× 2.5k 0.7× 1.4k 0.6× 1.4k 0.6× 1.1k 0.6× 185 6.6k
Hideki Sezutsu Japan 41 3.0k 0.6× 1.9k 0.6× 1.2k 0.5× 1.2k 0.5× 1.5k 0.9× 172 5.0k
Richard W. Beeman United States 52 4.7k 1.0× 3.3k 0.9× 1.5k 0.6× 1.4k 0.6× 526 0.3× 121 7.0k
Susumu Katsuma Japan 45 5.0k 1.1× 2.2k 0.6× 1.5k 0.6× 1.1k 0.5× 554 0.3× 200 8.6k
Michael R. Kanost United States 68 5.7k 1.2× 8.4k 2.4× 2.0k 0.8× 4.2k 1.8× 632 0.4× 199 15.0k
Svend Olav Andersen Denmark 34 1.4k 0.3× 1.8k 0.5× 1.7k 0.7× 1.4k 0.6× 836 0.5× 89 4.3k
Bernard Moussian Germany 37 2.9k 0.6× 1.4k 0.4× 868 0.4× 1.1k 0.5× 499 0.3× 143 4.8k
Chuan‐Xi Zhang China 46 3.9k 0.8× 4.0k 1.1× 1.2k 0.5× 1.0k 0.4× 161 0.1× 337 7.5k
James W. Fristrom United States 39 2.9k 0.6× 1.2k 0.4× 1.4k 0.6× 2.5k 1.1× 417 0.2× 89 5.1k

Countries citing papers authored by Kazuei Mita

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kazuei Mita

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuei Mita. A scholar is included among the top collaborators of Kazuei Mita based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kazuei Mita. Kazuei Mita is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Wanshun, Jianqiu Liu, Yue Chen, et al.. (2024). The T2T Genome of the Domesticated Silkworm Bombyx mori. International Journal of Molecular Sciences. 25(22). 12341–12341.
2.
3.
Liu, Jianqiu, Zhiwei Chen, Tsunaki Asano, et al.. (2021). Lepidopteran wing scales contain abundant cross-linked film-forming histidine-rich cuticular proteins. Communications Biology. 4(1). 491–491. 24 indexed citations
4.
Gong, Jiao, Tingcai Cheng, Yuqian Wu, et al.. (2018). Genome-wide patterns of copy number variations in Spodoptera litura. Genomics. 111(6). 1231–1238. 9 indexed citations
5.
Chen, Zhiwei, et al.. (2017). Enzymatic characterization of two epsilon‐class glutathione S‐transferases of Spodoptera litura. Archives of Insect Biochemistry and Physiology. 97(3). 12 indexed citations
6.
Liu, Chun, et al.. (2017). Osiris9a is a major component of silk fiber in lepidopteran insects. Insect Biochemistry and Molecular Biology. 89. 107–115. 6 indexed citations
7.
Yamaguchi, Jun‐ichi, Kazuei Mita, Kimiko Yamamoto, et al.. (2014). The transcription factor Apontic-like controls diverse colouration pattern in caterpillars. Nature Communications. 5(1). 4936–4936. 35 indexed citations
8.
Wada, Sanae, Shogo Atsumi, Wataru Mitsuhashi, et al.. (2012). Linkage analysis of a dominant resistance gene to the entomopathogenic fungus Beauveria brongniartii in the silkworm, Bombyx mori. Journal of insect biotechnology and sericology. 81(1). 1–6.
9.
Kayukawa, Takumi, Chieka Minakuchi, Toshiki Namiki, et al.. (2012). Transcriptional regulation of juvenile hormone-mediated induction of Krüppel homolog 1, a repressor of insect metamorphosis. Proceedings of the National Academy of Sciences. 109(29). 11729–11734. 268 indexed citations
10.
Sakudoh, Takashi, Tetsuya Iizuka, Junko Narukawa, et al.. (2010). A CD36-related Transmembrane Protein Is Coordinated with an Intracellular Lipid-binding Protein in Selective Carotenoid Transport for Cocoon Coloration. Journal of Biological Chemistry. 285(10). 7739–7751. 76 indexed citations
11.
Futahashi, Ryo, Yan Meng, Takaaki Daimon, et al.. (2008). yellow and ebony Are the Responsible Genes for the Larval Color Mutants of the Silkworm Bombyx mori. Genetics. 180(4). 1995–2005. 112 indexed citations
12.
Kawanishi, Yuichi, Yutaka Banno, Hirofumi Fujimoto, et al.. (2008). Method for rapid distinction of Bombyx mandarina (Japan) from B. mandarina (China) based on rDNA sequence differences. Journal of insect biotechnology and sericology. 77(2). 79–85. 2 indexed citations
13.
Tabunoki, Hiroko, Toru Shimada, Yutaka Banno, et al.. (2008). Identification of Bombyx mori 14-3-3 orthologs and the interactor Hsp60. Neuroscience Research. 61(3). 271–280. 22 indexed citations
14.
Yamamoto, Kimiko, Junko Nohata, Keiko Kadono‐Okuda, et al.. (2008). A BAC-based integrated linkage map of the silkworm Bombyx mori. Genome biology. 9(1). R21–R21. 88 indexed citations
15.
Nakahara, Yuichi, Sachiko Shimura, Yasushi Kanamori, et al.. (2008). Purification and characterization of silkworm hemocytes by flow cytometry. Developmental & Comparative Immunology. 33(4). 439–448. 50 indexed citations
16.
Kajiwara, Hideyuki, et al.. (2006). Proteomic Analysis of Silkworm Fat Body. Journal of insect biotechnology and sericology. 75(2). 47–56. 13 indexed citations
17.
Yasukochi, Yuji, Chengcang Wu, Atsuo Yoshido, et al.. (2004). Organization of the Hox gene cluster of the silkworm, Bombyx mori: a split of the Hox cluster in a non-Drosophila insect. Development Genes and Evolution. 214(12). 606–614. 41 indexed citations
18.
Okano, Kazuhiro, Toru Shimada, Kazuei Mita, & Susumu Maeda. (2001). Comparative Expressed-Sequence-Tag Analysis of Differential Gene Expression Profiles in BmNPV-Infected BmN Cells. Virology. 282(2). 348–356. 26 indexed citations
19.
Mita, Kazuei. (1996). Primary Structure of Silk Fibroin.. Kobunshi. 45(3). 146–149. 1 indexed citations
20.
Ise, Norio, et al.. (1974). Carbamoylated Poly-L-Lysine and its Helix-Coil Transition (Commemoration Issue Dedicated to Professor Waichiro Tsuji On the Occasion of his Retirement). Kyoto University Research Information Repository (Kyoto University). 52(2). 416–424. 1 indexed citations

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.

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