Mayako Kutsukake

1.0k total citations
30 papers, 781 citations indexed

About

Mayako Kutsukake is a scholar working on Insect Science, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Mayako Kutsukake has authored 30 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Insect Science, 19 papers in Genetics and 16 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Mayako Kutsukake's work include Insect-Plant Interactions and Control (24 papers), Insect and Arachnid Ecology and Behavior (19 papers) and Plant and animal studies (14 papers). Mayako Kutsukake is often cited by papers focused on Insect-Plant Interactions and Control (24 papers), Insect and Arachnid Ecology and Behavior (19 papers) and Plant and animal studies (14 papers). Mayako Kutsukake collaborates with scholars based in Japan, Taiwan and Morocco. Mayako Kutsukake's co-authors include Takema Fukatsu, Harunobu Shibao, Akira Komatsu, Daisuke Yamamoto, Masakazu Shimada, Sadao I. Chigusa, Naruo Nikoh, Shigeru Matsuyama, Hisashi Anbutsu and Gregory D. D. Hurst and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Current Biology.

In The Last Decade

Mayako Kutsukake

29 papers receiving 753 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mayako Kutsukake Japan 15 491 348 319 180 125 30 781
Nicholas K. Priest United Kingdom 17 250 0.5× 402 1.2× 370 1.2× 130 0.7× 65 0.5× 25 936
Bertanne Visser Netherlands 16 682 1.4× 393 1.1× 242 0.8× 85 0.5× 217 1.7× 44 959
Tatyana Y. Fedina United States 14 366 0.7× 398 1.1× 396 1.2× 134 0.7× 104 0.8× 17 692
Joshua J. Krupp Canada 10 276 0.6× 408 1.2× 481 1.5× 415 2.3× 43 0.3× 14 781
Juliano Morimoto United Kingdom 17 421 0.9× 308 0.9× 240 0.8× 99 0.6× 47 0.4× 63 796
Isaac González‐Santoyo Mexico 10 421 0.9× 243 0.7× 172 0.5× 114 0.6× 108 0.9× 25 823
Karl M. Glastad United States 19 557 1.1× 507 1.5× 661 2.1× 213 1.2× 153 1.2× 28 1.2k
Pablo E. Schilman Argentina 20 392 0.8× 330 0.9× 405 1.3× 231 1.3× 107 0.9× 46 921
Ian A. Warren United Kingdom 17 302 0.6× 474 1.4× 490 1.5× 168 0.9× 201 1.6× 32 1.1k
Benjamin Goldman-Huertas United States 10 602 1.2× 463 1.3× 471 1.5× 66 0.4× 155 1.2× 11 959

Countries citing papers authored by Mayako Kutsukake

Since Specialization
Citations

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

Fields of papers citing papers by Mayako Kutsukake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayako Kutsukake

This figure shows the co-authorship network connecting the top 25 collaborators of Mayako Kutsukake. A scholar is included among the top collaborators of Mayako Kutsukake 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 Mayako Kutsukake. Mayako Kutsukake 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.
Shibao, Harunobu, Mayako Kutsukake, Shigeru Matsuyama, & Takema Fukatsu. (2022). Linoleic acid as corpse recognition signal in a social aphid. Zoological Letters. 8(1). 2–2. 3 indexed citations
2.
Shibao, Harunobu, Mayako Kutsukake, & Takema Fukatsu. (2021). Temporal division of labor in an aphid social system. Scientific Reports. 11(1). 1183–1183. 7 indexed citations
3.
Kutsukake, Mayako, Minoru Moriyama, Shuji Shigenobu, et al.. (2019). Exaggeration and cooption of innate immunity for social defense. Proceedings of the National Academy of Sciences. 116(18). 8950–8959. 23 indexed citations
4.
Kutsukake, Mayako, et al.. (2019). Plant Manipulation by Gall-Forming Social Aphids for Waste Management. Frontiers in Plant Science. 10. 933–933. 9 indexed citations
5.
6.
Kutsukake, Mayako, et al.. (2018). Water-repellent plant surface structure induced by gall-forming insects for waste management. Biology Letters. 14(10). 20180470–20180470. 10 indexed citations
7.
Aoki, Shigeyuki, et al.. (2017). Dermaphis coccidiformis sp. nov. (Hemiptera), an aphid species with asymmetrically sclerotized apterae and “winter alates”. Entomological Science. 21(2). 142–153. 2 indexed citations
8.
Kutsukake, Mayako, Xian‐Ying Meng, Noboru Katayama, et al.. (2012). An insect-induced novel plant phenotype for sustaining social life in a closed system. Nature Communications. 3(1). 1187–1187. 36 indexed citations
9.
Kutsukake, Mayako, et al.. (2009). Scab formation and wound healing of plant tissue by soldier aphid. Proceedings of the Royal Society B Biological Sciences. 276(1662). 1555–1563. 25 indexed citations
10.
Kurosu, Utako, et al.. (2008). Galls of Cerataphis bambusifoliae (Hemiptera, Aphididae) Found on Styrax suberifolius in Taiwan. Zoological studies. 47(2). 191–199. 7 indexed citations
11.
Kutsukake, Mayako, Naruo Nikoh, Harunobu Shibao, et al.. (2008). Evolution of Soldier-Specific Venomous Protease in Social Aphids. Molecular Biology and Evolution. 25(12). 2627–2641. 13 indexed citations
12.
Rispe, Claude, Mayako Kutsukake, Vincent Doublet, et al.. (2007). Large Gene Family Expansion and Variable Selective Pressures for Cathepsin B in Aphids. Molecular Biology and Evolution. 25(1). 5–17. 72 indexed citations
13.
Shibao, Harunobu, Mayako Kutsukake, Tatsuya Suzuki, et al.. (2006). Mechanism of caste differentiation and control in an aphid social system.. 127–145. 2 indexed citations
14.
Shibao, Harunobu, Mayako Kutsukake, & Takema Fukatsu. (2004). Density-dependent induction and suppression of soldier differentiation in an aphid social system. Journal of Insect Physiology. 50(11). 995–1000. 20 indexed citations
15.
Shibao, Harunobu, Mayako Kutsukake, & Takema Fukatsu. (2003). The proximate cue of density-dependent soldier production in a social aphid. Journal of Insect Physiology. 50(2-3). 143–147. 18 indexed citations
16.
Hurst, Gregory D. D., Hisashi Anbutsu, Mayako Kutsukake, & Takema Fukatsu. (2003). Hidden from the host: Spiroplasma bacteria infecting Drosophila do not cause an immune response, but are suppressed by ectopic immune activation. Insect Molecular Biology. 12(1). 93–97. 65 indexed citations
17.
Shibao, Harunobu, et al.. (2003). Aphid soldier differentiation: density acts on both embryos and newborn nymphs. Die Naturwissenschaften. 90(11). 501–504. 18 indexed citations
18.
Shibao, Harunobu, et al.. (2002). Maintenance of soldier-producing aphids on an artificial diet. Journal of Insect Physiology. 48(4). 495–505. 21 indexed citations
19.
Kutsukake, Mayako, et al.. (2002). A trace amine, tyramine, functions as a neuromodulator in Drosophila melanogaster. Neuroscience Letters. 329(3). 324–328. 97 indexed citations
20.
Kutsukake, Mayako, et al.. (2000). A tyramine receptor gene mutation causes a defective olfactory behavior in Drosophila melanogaster. Gene. 245(1). 31–42. 112 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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