Mizue Morioka

1.0k total citations
33 papers, 837 citations indexed

About

Mizue Morioka is a scholar working on Insect Science, Genetics and Molecular Biology. According to data from OpenAlex, Mizue Morioka has authored 33 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Insect Science, 13 papers in Genetics and 12 papers in Molecular Biology. Recurrent topics in Mizue Morioka's work include Insect and Pesticide Research (14 papers), Insect and Arachnid Ecology and Behavior (12 papers) and Insect symbiosis and bacterial influences (12 papers). Mizue Morioka is often cited by papers focused on Insect and Pesticide Research (14 papers), Insect and Arachnid Ecology and Behavior (12 papers) and Insect symbiosis and bacterial influences (12 papers). Mizue Morioka collaborates with scholars based in Japan, Russia and United States. Mizue Morioka's co-authors include Takeo Kubo, Toshifumi Tomoyasu, Akiko Takaya, Tomoko Yamamoto, Azusa Kamikouchi, Tomoko Fujiyuki, Kiyokazu Morioka, Hiraku Shimada, Akane Tokumitsu and Hajime Ishikawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

Mizue Morioka

33 papers receiving 806 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mizue Morioka Japan 16 466 347 245 191 87 33 837
Evelyn Zientz Germany 9 544 1.2× 410 1.2× 333 1.4× 116 0.6× 10 0.1× 9 1.0k
Kevin W. Broady Australia 19 141 0.3× 389 1.1× 427 1.7× 61 0.3× 35 0.4× 42 909
Sriramana Kanginakudru India 13 200 0.4× 267 0.8× 308 1.3× 89 0.5× 36 0.4× 19 742
Andrea J. Dowling United Kingdom 22 1.0k 2.2× 312 0.9× 798 3.3× 113 0.6× 59 0.7× 28 1.6k
Queenie W. T. Chan Canada 16 531 1.1× 505 1.5× 231 0.9× 360 1.9× 73 0.8× 24 901
Evy Vierstraete Belgium 10 354 0.8× 261 0.8× 352 1.4× 102 0.5× 303 3.5× 12 857
Emmanuelle d’Alençon France 18 559 1.2× 315 0.9× 773 3.2× 105 0.5× 49 0.6× 31 1.1k
C Richaud France 21 84 0.2× 303 0.9× 844 3.4× 124 0.6× 37 0.4× 34 1.3k
Praveen Mamidala United States 16 393 0.8× 127 0.4× 557 2.3× 104 0.5× 67 0.8× 33 958
Connor J. Gulbronson United States 10 472 1.0× 387 1.1× 151 0.6× 372 1.9× 6 0.1× 22 757

Countries citing papers authored by Mizue Morioka

Since Specialization
Citations

This map shows the geographic impact of Mizue Morioka'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 Mizue Morioka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mizue Morioka more than expected).

Fields of papers citing papers by Mizue Morioka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mizue Morioka. 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 Mizue Morioka. The network helps show where Mizue Morioka may publish in the future.

Co-authorship network of co-authors of Mizue Morioka

This figure shows the co-authorship network connecting the top 25 collaborators of Mizue Morioka. A scholar is included among the top collaborators of Mizue Morioka 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 Mizue Morioka. Mizue Morioka 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.
Kozuka‐Hata, Hiroko, et al.. (2010). Functional analysis of the honeybee (Apis mellifera L.) salivary system using proteomics. Biochemical and Biophysical Research Communications. 397(4). 740–744. 17 indexed citations
2.
Shigenobu, Shuji, Stephen Richards, Andrew Cree, et al.. (2010). A full‐length cDNA resource for the pea aphid, Acyrthosiphon pisum. Insect Molecular Biology. 19(s2). 23–31. 25 indexed citations
3.
Morioka, Kiyokazu, et al.. (2009). Age- and morph-dependent activation of the lysosomal system and Buchnera degradation in aphid endosymbiosis. Journal of Insect Physiology. 55(4). 351–357. 79 indexed citations
4.
Shigenobu, Shuji, et al.. (2006). Hundreds of Flagellar Basal Bodies Cover the Cell Surface of the Endosymbiotic Bacterium Buchnera aphidicola sp. Strain APS. Journal of Bacteriology. 188(18). 6539–6543. 46 indexed citations
5.
Ando, T., et al.. (2006). In vivo gene transfer into the honeybee using a nucleopolyhedrovirus vector. Biochemical and Biophysical Research Communications. 352(2). 335–340. 11 indexed citations
6.
Kunieda, Takekazu, Tomoko Fujiyuki, Robert Kucharski, et al.. (2006). Carbohydrate metabolism genes and pathways in insects: insights from the honey bee genome. Insect Molecular Biology. 15(5). 563–576. 136 indexed citations
7.
Kamikouchi, Azusa, Mizue Morioka, & Takeo Kubo. (2004). Identification of Honeybee Antennal Proteins/Genes Expressed in a Sex- and/or Caste Selective Manner. ZOOLOGICAL SCIENCE. 21(1). 53–62. 39 indexed citations
8.
Kamikouchi, Azusa, Mizue Morioka, & Takeo Kubo. (2004). Identification of Honeybee Antennal Proteins/Genes Expressed in a Sex- and/or Caste Selective Manner. ZOOLOGICAL SCIENCE. 21(1). 53–62. 3 indexed citations
9.
Kutsukake, Mayako, Harunobu Shibao, Naruo Nikoh, et al.. (2004). Venomous protease of aphid soldier for colony defense. Proceedings of the National Academy of Sciences. 101(31). 11338–11343. 59 indexed citations
10.
Unno, Keiko, et al.. (2003). Increased Expression of Hsp70 for Resistance to Deuterium Oxide in a Yeast Mutant Cell Line. Biological and Pharmaceutical Bulletin. 26(6). 799–802. 8 indexed citations
11.
Yamaguchi, Yûko, Toshifumi Tomoyasu, Akiko Takaya, Mizue Morioka, & Tomoko Yamamoto. (2003). Effects of disruption of heat shock genes on susceptibility of Escherichia coli to fluoroquinolones. BMC Microbiology. 3(1). 16–16. 55 indexed citations
12.
Shigenobu, Shuji, et al.. (2002). An Experimental Validation of Orphan Genes of Buchnera, a Symbiont of Aphids. Biochemical and Biophysical Research Communications. 292(1). 263–267. 6 indexed citations
13.
Morioka, Mizue & Hajime Ishikawa. (1998). [16] Insect chaperonin 60: Symbionin. Methods in enzymology on CD-ROM/Methods in enzymology. 290. 181–193. 6 indexed citations
14.
Morioka, Mizue, et al.. (1994). An Endosymbiont Chaperonin Is a Novel Type of Histidine Protein Kinase1. The Journal of Biochemistry. 116(5). 1075–1081. 13 indexed citations
15.
Morioka, Mizue, et al.. (1993). Self-Assembly of Symbionin, a Chaperonin of Intracellular Symbiont1. The Journal of Biochemistry. 114(4). 468–472. 8 indexed citations
16.
Morioka, Mizue, et al.. (1993). Chaperonin Produced by an Intracellular Symbiont Is an Energy-Coupling Protein with Phosphotransferase Activity1. The Journal of Biochemistry. 114(2). 246–250. 11 indexed citations
17.
Morioka, Mizue. (1987). AP4A-hydrolysing activity in sea urchin embryos. Experimental Cell Research. 169(1). 57–62. 7 indexed citations
18.
Kinoshita, Takahiro, et al.. (1986). [An inhibitor to factor VIII interacting with its activated catalytic subunit].. PubMed. 27(9). 1680–7. 4 indexed citations
19.
Morioka, Mizue & Hiraku Shimada. (1986). Nuclear AP4A-binding activity of sea urchin embryos changes in relation to the initiation of S phase. Experimental Cell Research. 165(2). 429–440. 6 indexed citations
20.
Morioka, Mizue & Hiraku Shimada. (1984). Synthesis of diadenosine 5′,5‴-P1, P4-tetraphosphate (AP4A) in sea urchin embryos. Cell Differentiation. 14(1). 53–58. 13 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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