Kensuke Kusumi

2.1k total citations
36 papers, 1.7k citations indexed

About

Kensuke Kusumi is a scholar working on Molecular Biology, Plant Science and Biochemistry. According to data from OpenAlex, Kensuke Kusumi has authored 36 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 25 papers in Plant Science and 5 papers in Biochemistry. Recurrent topics in Kensuke Kusumi's work include Photosynthetic Processes and Mechanisms (22 papers), Plant Stress Responses and Tolerance (12 papers) and Plant nutrient uptake and metabolism (8 papers). Kensuke Kusumi is often cited by papers focused on Photosynthetic Processes and Mechanisms (22 papers), Plant Stress Responses and Tolerance (12 papers) and Plant nutrient uptake and metabolism (8 papers). Kensuke Kusumi collaborates with scholars based in Japan, France and Germany. Kensuke Kusumi's co-authors include Koh Iba, Hiroki Sugimoto, Toshihiro Kumamaru, Atsushi Yoshimura, Ichiro Terashima, Wataru Yamori, Juntaro Negi, Yuzuru Tozawa, Mimi Hashimoto‐Sugimoto and Jinjie Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLANT PHYSIOLOGY.

In The Last Decade

Kensuke Kusumi

35 papers receiving 1.7k citations

Peers

Kensuke Kusumi

BIOCH

GPC

GENET

Akiko Kozaki Japan

Tsuyoshi Furumoto Japan

Sandra N. Oliver Australia

Cristina Crosatti Italy

Jörn Görlach United States

Hojoung Lee United States

Catherine Chéniclet France

Satoshi Tabata Japan

Susanne Hoffmann-Benning United States

Claudio Pugliesi Italy

Akiko Kozaki Japan

Kensuke Kusumi

937 ×0.7

961 ×0.8

165 ×1.5

BIOCH

86 ×0.9

GPC

74 ×0.9

GENET

Citations per year, relative to Kensuke Kusumi Kensuke Kusumi (= 1×) peers Akiko Kozaki

Countries citing papers authored by Kensuke Kusumi

Since Specialization

Citations

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

Fields of papers citing papers by Kensuke Kusumi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kensuke Kusumi

This figure shows the co-authorship network connecting the top 25 collaborators of Kensuke Kusumi. A scholar is included among the top collaborators of Kensuke Kusumi 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 Kensuke Kusumi. Kensuke Kusumi 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

Kusumi, Kensuke & Hiroshi Koide. (2024). MQTT-MTD: Integrating Moving Target Defense into MQTT Protocol as an Alternative to TLS. 1–8.

Negi, Juntaro, Shintaro Munemasa, Mayumi Fujita, et al.. (2018). Eukaryotic lipid metabolic pathway is essential for functional chloroplasts and CO ₂ and light responses in Arabidopsis guard cells. Proceedings of the National Academy of Sciences. 115(36). 9038–9043. 31 indexed citations

Kusumi, Kensuke, et al.. (2017). Contribution of the S-type Anion Channel SLAC1 to Stomatal Control and Its Dependence on Developmental Stage in Rice. Plant and Cell Physiology. 58(12). 2085–2094. 18 indexed citations

Nomura, Yuhta, Atsushi Izumi, Kensuke Kusumi, et al.. (2014). Diversity in Guanosine 3′,5′-Bisdiphosphate (ppGpp) Sensitivity among Guanylate Kinases of Bacteria and Plants. Journal of Biological Chemistry. 289(22). 15631–15641. 31 indexed citations

Kusumi, Kensuke & Koh Iba. (2014). Establishment of the chloroplast genetic system in rice during early leaf development and at low temperatures. Frontiers in Plant Science. 5. 386–386. 44 indexed citations

Hashimoto‐Sugimoto, Mimi, Juntaro Negi, Kensuke Kusumi, & Koh Iba. (2013). . KAGAKU TO SEIBUTSU. 51(12). 831–839. 1 indexed citations

Negi, Juntaro, Mineko Konishi, Ryusuke Yokoyama, et al.. (2013). A Dof Transcription Factor, SCAP1, Is Essential for the Development of Functional Stomata in Arabidopsis. Current Biology. 23(6). 479–484. 110 indexed citations

Negi, Juntaro, Mimi Hashimoto‐Sugimoto, Kensuke Kusumi, & Koh Iba. (2013). New Approaches to the Biology of Stomatal Guard Cells. Plant and Cell Physiology. 55(2). 241–250. 55 indexed citations

Negi, Juntaro, Atsuhiro Iio, Kensuke Kusumi, et al.. (2011). Environmental regulation of stomatal response in the Arabidopsis Cvi-0 ecotype. Planta. 234(3). 555–563. 25 indexed citations

10.

Kusumi, Kensuke, et al.. (2009). Contribution of chloroplast biogenesis to carbon–nitrogen balance during early leaf development in rice. Journal of Plant Research. 123(4). 617–622. 22 indexed citations

11.

Yaeno, Takashi, Morifumi Hasegawa, Hideharu Seto, et al.. (2008). Resistance to Magnaporthe grisea in transgenic rice with suppressed expression of genes encoding allene oxide cyclase and phytodienoic acid reductase. Biochemical and Biophysical Research Communications. 376(3). 460–465. 16 indexed citations

12.

Yaeno, Takashi, Jean‐Luc Montillet, Morifumi Hasegawa, et al.. (2008). Enhancement of disease resistance to Magnaporthe grisea in rice by accumulation of hydroxy linoleic acid. Biochemical and Biophysical Research Communications. 370(2). 344–347. 24 indexed citations

13.

Sugimoto, Hiroki, Kensuke Kusumi, Ko Noguchi, et al.. (2007). The rice nuclear gene, VIRESCENT 2, is essential for chloroplast development and encodes a novel type of guanylate kinase targeted to plastids and mitochondria. The Plant Journal. 52(3). 512–527. 116 indexed citations

14.

Yaeno, Takashi, Kensuke Kusumi, Hideo Matsumura, et al.. (2006). Regulatory Mechanisms of ROI Generation are Affected by Rice spl Mutations. Plant and Cell Physiology. 47(8). 1035–1044. 36 indexed citations

15.

Kusumi, Kensuke, et al.. (2004). Characterization of a Rice Nuclear-Encoded Plastid RNA Polymerase Gene OsRpoTp. Plant and Cell Physiology. 45(9). 1194–1201. 63 indexed citations

16.

Sugimoto, Hiroki, Kensuke Kusumi, Yuzuru Tozawa, et al.. (2004). The virescent-2 Mutation Inhibits Translation of Plastid Transcripts for the Plastid Genetic System at an Early Stage of Chloroplast Differentiation. Plant and Cell Physiology. 45(8). 985–996. 104 indexed citations

17.

Kusumi, Kensuke, et al.. (2000). Characterization of a zebra Mutant of Rice with Increased Susceptibility to Light Stress. Plant and Cell Physiology. 41(2). 158–164. 24 indexed citations

18.

Kodama, Hiroaki, et al.. (1997). Structure, chromosomal location and expression of a rice gene encoding the microsome ω-3 fatty acid desaturase. Plant Molecular Biology. 33(3). 493–502. 49 indexed citations

19.

Kusumi, Kensuke, Akiko Mizutani, Mitsuo Nishimura, & Koh Iba. (1997). A virescent gene V₁ determines the expression timing of plastid genes for transcription/translation apparatus during early leaf development in rice. The Plant Journal. 12(6). 1241–1250. 70 indexed citations

20.

Inada, Hitoshi, Kensuke Kusumi, Mikio Nishimura, & Koh Iba. (1996). Specific Expression of the Chloroplast Gene for RNA Polymerase (rpoB) at an Early Stage of Leaf Development in Rice. Plant and Cell Physiology. 37(2). 229–232. 17 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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