Makoto Kusaba

5.8k total citations
77 papers, 4.4k citations indexed

About

Makoto Kusaba is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Makoto Kusaba has authored 77 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Plant Science, 60 papers in Molecular Biology and 12 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Makoto Kusaba's work include Plant Reproductive Biology (30 papers), Plant Molecular Biology Research (29 papers) and Photosynthetic Processes and Mechanisms (24 papers). Makoto Kusaba is often cited by papers focused on Plant Reproductive Biology (30 papers), Plant Molecular Biology Research (29 papers) and Photosynthetic Processes and Mechanisms (24 papers). Makoto Kusaba collaborates with scholars based in Japan, United States and Australia. Makoto Kusaba's co-authors include Minoru Nishimura, Ryouhei Morita, Ayumi Tanaka, Yutaka Sato, Takeshi Nishio, Ryouichi Tanaka, Hiroaki Ueda, Shūichi Iida, Hisashi Itô and D. J. Ockendon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Makoto Kusaba

75 papers receiving 4.3k citations

Peers

Makoto Kusaba

EEBS

GENET

BIOTE

Zsuzsanna Schwarz‐Sommer Germany

Desmond Bradley United Kingdom

Ki‐Byung Lim South Korea

Tohru Ariizumi Japan

Ryutaro Tao Japan

Naomi Ori Israel

Tingdong Fu China

Hongzhi Kong China

Susheng Song China

Hiroshi Takatsuji Japan

Zsuzsanna Schwarz‐Sommer Germany

Makoto Kusaba

4.8k ×1.3

4.4k ×1.4

489 ×0.6

EEBS

291 ×0.9

GENET

119 ×0.9

BIOTE

Citations per year, relative to Makoto Kusaba Makoto Kusaba (= 1×) peers Zsuzsanna Schwarz‐Sommer

Countries citing papers authored by Makoto Kusaba

Since Specialization

Citations

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

Fields of papers citing papers by Makoto Kusaba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Kusaba

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Kusaba. A scholar is included among the top collaborators of Makoto Kusaba 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 Makoto Kusaba. Makoto Kusaba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Nobusawa, Takashi, Takashi Okamoto, Michiharu Nakano, & Makoto Kusaba. (2025). Structural coloration and epicuticular wax properties of the distinctive glaucous leaves of Encephalartos horridus. Journal of Experimental Botany. 76(12). 3577–3592.

Dong, Qin, Michiharu Nakano, Tomoko Abe, et al.. (2024). Structural complexity of the white flower locus in Chrysanthemum. The Journal of Horticultural Science and Biotechnology. 100(1). 82–91. 1 indexed citations

Shirasawa, Kenta, Tomoya Esumi, Akihiro Itai, et al.. (2024). Propagation path of a flowering cherry ( Cerasus × yedoensis ) cultivar ‘Somei-Yoshino’ traced by somatic mutations. DNA Research. 31(5). 1 indexed citations

Kozuka, Toshiaki, Y. Oka, Kaori Kohzuma, & Makoto Kusaba. (2023). Cryptochromes suppress leaf senescence in response to blue light in Arabidopsis. PLANT PHYSIOLOGY. 191(4). 2506–2518. 8 indexed citations

Nakano, Michiharu, Hideki Hirakawa, Eigo Fukai, et al.. (2021). A chromosome-level genome sequence of Chrysanthemum seticuspe, a model species for hexaploid cultivated chrysanthemum. Communications Biology. 4(1). 1167–1167. 46 indexed citations

Hibara, Ken‐ichiro, Takanori Yoshikawa, Masaharu Suzuki, et al.. (2021). Regulation of the plastochron by three many-noded dwarf genes in barley. PLoS Genetics. 17(5). e1009292–e1009292. 8 indexed citations

Takami, Tsuneaki, Norikazu Ohnishi, Yuko Kurita, et al.. (2018). Organelle DNA degradation contributes to the efficient use of phosphate in seed plants. Nature Plants. 4(12). 1044–1055. 42 indexed citations

Kohzuma, Kaori, Yutaka Sato, Hisashi Itô, et al.. (2017). The Non-Mendelian Green Cotyledon Gene in Soybean Encodes a Small Subunit of Photosystem II. PLANT PHYSIOLOGY. 173(4). 2138–2147. 31 indexed citations

Yamatani, Hiroshi, Kaori Kohzuma, Michiharu Nakano, et al.. (2017). Impairment of Lhca4, a subunit of LHCI, causes high accumulation of chlorophyll and the stay-green phenotype in rice. Journal of Experimental Botany. 69(5). 1027–1035. 26 indexed citations

10.

Zhang, Lingang, Makoto Kusaba, Ayumi Tanaka, & Wataru Sakamoto. (2016). Protection of Chloroplast Membranes by VIPP1 Rescues Aberrant Seedling Development in Arabidopsisnyc1 Mutant. Frontiers in Plant Science. 7. 533–533. 25 indexed citations

11.

Sato, Yutaka, Baltazar A. Antonio, Nobukazu Namiki, et al.. (2011). Field transcriptome revealed critical developmental and physiological transitions involved in the expression of growth potential in japonicarice. BMC Plant Biology. 11(1). 10–10. 110 indexed citations

12.

Kawakatsu, Taiji, Graziana Taramino, Itoh Jun-ichi, et al.. (2009). PLASTOCHRON3/GOLIATH encodes a glutamate carboxypeptidase required for proper development in rice. The Plant Journal. 58(6). 1028–1040. 64 indexed citations

13.

Morita, Ryouhei, Makoto Kusaba, Shūichi Iida, et al.. (2009). Molecular characterization of mutations induced by gamma irradiation in rice. Genes & Genetic Systems. 84(5). 361–370. 91 indexed citations

14.

Itô, Hisashi, et al.. (2009). Participation of Chlorophyll b Reductase in the Initial Step of the Degradation of Light-harvesting Chlorophyll a/b-Protein Complexes in Arabidopsis. Journal of Biological Chemistry. 284(26). 17449–17456. 202 indexed citations

15.

Yoshida, Hitoshi, Jun‐ichi Itoh, Shinnosuke Ohmori, et al.. (2007). superwoman1‐cleistogamy, a hopeful allele for gene containment in GM rice. Plant Biotechnology Journal. 5(6). 835–846. 72 indexed citations

16.

Kusaba, Makoto. (2004). RNA interference in crop plants. Current Opinion in Biotechnology. 15(2). 139–143. 93 indexed citations

17.

Golz, John F., et al.. (2001). Genetic analysis of Nicotiana pollen-part mutants is consistent with the presence of an S -ribonuclease inhibitor at the S locus. Proceedings of the National Academy of Sciences. 98(26). 15372–15376. 102 indexed citations

18.

Suzuki, Tohru, Makoto Kusaba, Masanori Matsushita, Keiichi Okazaki, & Takeshi Nishio. (2000). Characterization of Brassica S‐haplotypes lacking S‐locus glycoprotein¹. FEBS Letters. 482(1-2). 102–108. 45 indexed citations

19.

Kusaba, Makoto & Takeshi Nishio. (1999). Comparative analysis ofShaplotypes with very similarSLGalleles inBrassica rapaandBrassica oleracea. The Plant Journal. 17(1). 83–91. 35 indexed citations

20.

Sakamoto, Koji, Makoto Kusaba, & Takeshi Nishio. (1998). Polymorphism of the S -locus glycoprotein gene (SLG ) and the S -locus related gene (SLR1 ) in Raphanus sativus L. and self-incompatible ornamental plants in the Brassicaceae. Molecular and General Genetics MGG. 258(4). 397–403. 43 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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