Koh Aoki

10.0k total citations · 1 hit paper
87 papers, 4.8k citations indexed

About

Koh Aoki is a scholar working on Molecular Biology, Plant Science and Physiology. According to data from OpenAlex, Koh Aoki has authored 87 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 58 papers in Plant Science and 4 papers in Physiology. Recurrent topics in Koh Aoki's work include Plant Molecular Biology Research (22 papers), Plant Parasitism and Resistance (14 papers) and Plant Gene Expression Analysis (12 papers). Koh Aoki is often cited by papers focused on Plant Molecular Biology Research (22 papers), Plant Parasitism and Resistance (14 papers) and Plant Gene Expression Analysis (12 papers). Koh Aoki collaborates with scholars based in Japan, United States and France. Koh Aoki's co-authors include Daisuke Shibata, Yoshiyuki Ogata, Yoko Iijima, Hideyuki Suzuki, Nozomu Sakurai, Hitoshi Sakakibara, Kazuki Saito, Hiroshi Ezura, Tomoyuki Yamaya and Katsuhiro Shiratake 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

Koh Aoki

86 papers receiving 4.7k citations

Hit Papers

Omics-based identification of Arabidopsis Myb transcripti... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers

Koh Aoki
Meike Burow Denmark
David V. Huhman United States
Paula Casati Argentina
Steffen Abel United States
Koh Aoki
Citations per year, relative to Koh Aoki Koh Aoki (= 1×) peers Miyako Kusano

Countries citing papers authored by Koh Aoki

Since Specialization
Citations

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

Fields of papers citing papers by Koh Aoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koh Aoki

This figure shows the co-authorship network connecting the top 25 collaborators of Koh Aoki. A scholar is included among the top collaborators of Koh Aoki 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 Koh Aoki. Koh Aoki 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.
Garcia, Virginie, Cécile Brès, Daniel Just, et al.. (2016). Rapid identification of causal mutations in tomato EMS populations via mapping-by-sequencing. Nature Protocols. 11(12). 2401–2418. 57 indexed citations
2.
Sugimoto, Koichi, Kenji Matsui, Yoko Iijima, et al.. (2014). Intake and transformation to a glycoside of ( Z )-3-hexenol from infested neighbors reveals a mode of plant odor reception and defense. Proceedings of the National Academy of Sciences. 111(19). 7144–7149. 158 indexed citations
3.
Reuscher, Stefan, et al.. (2014). The Sugar Transporter Inventory of Tomato: Genome-Wide Identification and Expression Analysis. Plant and Cell Physiology. 55(6). 1123–1141. 112 indexed citations
4.
Kobayashi, Masaaki, Hideki Nagasaki, Virginie Garcia, et al.. (2013). Genome-Wide Analysis of Intraspecific DNA Polymorphism in ‘Micro-Tom’, a Model Cultivar of Tomato (Solanum lycopersicum). Plant and Cell Physiology. 55(2). 445–454. 49 indexed citations
5.
Hirakawa, Hideki, Kenta Shirasawa, Akio Ohyama, et al.. (2013). Genome-Wide SNP Genotyping to Infer the Effects on Gene Functions in Tomato. DNA Research. 20(3). 221–233. 47 indexed citations
6.
Shimada, Tomoo, Yoshitaka Takano, Masayuki Fujiwara, et al.. (2013). Leaf Oil Body Functions as a Subcellular Factory for the Production of a Phytoalexin in Arabidopsis. PLANT PHYSIOLOGY. 164(1). 105–118. 106 indexed citations
7.
Reuß, Stephan H. von, Satoshi Mochizuki, Yoko Iijima, et al.. (2013). Traumatin- and Dinortraumatin-containing Galactolipids in Arabidopsis. Journal of Biological Chemistry. 288(36). 26078–26088. 36 indexed citations
8.
Mounet, Fabien, Annick Moing, Mariusz Kowalczyk, et al.. (2012). Down-regulation of a single auxin efflux transport protein in tomato induces precocious fruit development. Journal of Experimental Botany. 63(13). 4901–4917. 73 indexed citations
9.
Hiwasa-Tanase, Kyoko, et al.. (2012). Novel promoters that induce specific transgene expression during the green to ripening stages of tomato fruit development. Plant Cell Reports. 31(8). 1415–1424. 11 indexed citations
10.
Asano, Takashi, Kanae Kobayashi, Hiroshi Sudo, et al.. (2012). Suppression of camptothecin biosynthetic genes results in metabolic modification of secondary products in hairy roots of Ophiorrhiza pumila. Phytochemistry. 91. 128–139. 41 indexed citations
11.
Kim, Young‐Il, Shizuka Hirai, Tsuyoshi Goto, et al.. (2012). Potent PPARα Activator Derived from Tomato Juice, 13-oxo-9,11-Octadecadienoic Acid, Decreases Plasma and Hepatic Triglyceride in Obese Diabetic Mice. PLoS ONE. 7(2). e31317–e31317. 66 indexed citations
12.
Saito, Takeshi, Tohru Ariizumi, Yoshihiro Okabe, et al.. (2011). TOMATOMA: A Novel Tomato Mutant Database Distributing Micro-Tom Mutant Collections. Plant and Cell Physiology. 52(2). 283–296. 175 indexed citations
13.
Iijima, Yoko, Yukiko Nakamura, Yoshiyuki Ogata, et al.. (2008). Metabolite annotations based on the integration of mass spectral information. The Plant Journal. 54(5). 949–962. 223 indexed citations
14.
Nakamura, Yukiko, Shigehiko Kanaya, Nozomu Sakurai, et al.. (2008). A tool for high-throughput prediction of molecular formulas and identification of isotopic peaks from large-scale mass spectrometry data. Plant Biotechnology. 25(4). 377–380. 8 indexed citations
15.
Suzuki, Hideyuki, Ryosuke Sasaki, Yoshiyuki Ogata, et al.. (2007). Metabolic profiling of flavonoids in Lotus japonicus using liquid chromatography Fourier transform ion cyclotron resonance mass spectrometry. Phytochemistry. 69(1). 99–111. 64 indexed citations
16.
Aoki, Koh, Nobuo Suzui, Shu Fujimaki, et al.. (2005). Destination-Selective Long-Distance Movement of Phloem Proteins. The Plant Cell. 17(6). 1801–1814. 92 indexed citations
17.
Takei, Kentaro, Nanae Ueda, Koh Aoki, et al.. (2004). AtIPT3 is a Key Determinant of Nitrate-Dependent Cytokinin Biosynthesis in Arabidopsis. Plant and Cell Physiology. 45(8). 1053–1062. 323 indexed citations
18.
Aoki, Koh, Friedrich Kragler, Beatriz Xoconostle‐Cázares, & William J. Lucas. (2002). A subclass of plant heat shock cognate 70 chaperones carries a motif that facilitates trafficking through plasmodesmata. Proceedings of the National Academy of Sciences. 99(25). 16342–16347. 116 indexed citations
19.
Yoo, Byung-Chun, Koh Aoki, Yu Xiang, et al.. (2000). Characterization of Cucurbita maxima Phloem Serpin-1 (CmPS-1). Journal of Biological Chemistry. 275(45). 35122–35128. 71 indexed citations
20.
Sakai, Harumi, Koh Aoki, Yukika Sanada, et al.. (1995). Amino acid sequences of heterotrophic and photosynthetic ferredoxins from the tomato plant (Lycopersicon esculentum Mill.). Photosynthesis Research. 46(1-2). 301–308. 7 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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