Takuro Ito

3.5k total citations
57 papers, 1.4k citations indexed

About

Takuro Ito is a scholar working on Molecular Biology, Plant Science and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Takuro Ito has authored 57 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 18 papers in Plant Science and 15 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Takuro Ito's work include Algal biology and biofuel production (15 papers), Phytochemical Studies and Bioactivities (8 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (7 papers). Takuro Ito is often cited by papers focused on Algal biology and biofuel production (15 papers), Phytochemical Studies and Bioactivities (8 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (7 papers). Takuro Ito collaborates with scholars based in Japan, United States and China. Takuro Ito's co-authors include Keisuke Goda, Yasuyuki Ozeki, Cheng Lei, Masaru Tomita, Hirofumi Kobayashi, Hideharu Mikami, Akira Kanno, Takashi Nakada, Tatsuya Fukuda and Toshiaki Kameya and has published in prestigious journals such as Nature Communications, PLoS ONE and Analytical Chemistry.

In The Last Decade

Takuro Ito

56 papers receiving 1.4k citations

Peers

Takuro Ito

BIOPH

RESE

Shigetoshi Okazaki Japan

Ian K. Blaby United States

Jay R. Reichman United States

Howland D. T. Jones United States

Eiji Hase Japan

Mingjie Tang China

David Dulin Netherlands

Martin Bopp Germany

S. R. Parker Australia

Jacinta S. D’Souza India

Shigetoshi Okazaki Japan

Takuro Ito

546 ×0.9

376 ×0.8

191 ×0.5

BIOPH

177 ×0.5

58 ×0.3

RESE

Citations per year, relative to Takuro Ito Takuro Ito (= 1×) peers Shigetoshi Okazaki

Countries citing papers authored by Takuro Ito

Since Specialization

Citations

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

Fields of papers citing papers by Takuro Ito

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuro Ito

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

Mizuno, Takayuki, Takahisa Nakane, Hari Prasad Devkota, et al.. (2024). New Flavonoids from the leaves and stems of Sedum formosanum (Crassulaceae). Phytochemistry Letters. 61. 198–207. 2 indexed citations

Kim, Yongsung, Seon‐Hee Kim, Ji‐Young Yang, et al.. (2023). Plastome-based backbone phylogeny of East Asian Phedimus (Subgenus Aizoon: Crassulaceae), with special emphasis on Korean endemics. Frontiers in Plant Science. 14. 1089165–1089165. 5 indexed citations

Yonamine, Yusuke, K. Hiramatsu, Takuro Ideguchi, et al.. (2020). Spatiotemporal monitoring of intracellular metabolic dynamics by resonance Raman microscopy with isotope labeling. RSC Advances. 10(28). 16679–16686. 6 indexed citations

Craig, Rory J., Kazuharu Arakawa, Takashi Nakada, et al.. (2019). Patterns of population structure and complex haplotype sharing among field isolates of the green alga Chlamydomonas reinhardtii. Molecular Ecology. 28(17). 3977–3993. 17 indexed citations

Hiramatsu, K., Takuro Ideguchi, Yusuke Yonamine, et al.. (2019). High-throughput label-free molecular fingerprinting flow cytometry. Science Advances. 5(1). eaau0241–eaau0241. 109 indexed citations

Tanaka, Yuji, Takanori Maruta, Takahisa Ogawa, et al.. (2019). A major isoform of mitochondrial trans-2-enoyl-CoA reductase is dispensable for wax ester production in Euglena gracilis under anaerobic conditions. PLoS ONE. 14(1). e0210755–e0210755. 11 indexed citations

Maeno, Takanori, Takanori Uzawa, Kazunori Okano, et al.. (2018). Targeted delivery of fluorogenic peptide aptamers into live microalgae by femtosecond laser photoporation at single-cell resolution. Scientific Reports. 8(1). 8271–8271. 18 indexed citations

Lei, Cheng, Hirofumi Kobayashi, Yi Wu, et al.. (2018). High-throughput imaging flow cytometry by optofluidic time-stretch microscopy. Nature Protocols. 13(7). 1603–1631. 124 indexed citations

Miura, Takako, Hideharu Mikami, Akihiro Isozaki, et al.. (2018). On-chip light-sheet fluorescence imaging flow cytometry at a high flow speed of 1 m/s. Biomedical Optics Express. 9(7). 3424–3424. 33 indexed citations

10.

Guo, Baoshan, Cheng Lei, Yi Wu, et al.. (2017). Optofluidic time-stretch quantitative phase microscopy. Methods. 136. 116–125. 34 indexed citations

11.

Guo, Baoshan, Cheng Lei, Hirofumi Kobayashi, et al.. (2017). High‐throughput, label‐free, single‐cell, microalgal lipid screening by machine‐learning‐equipped optofluidic time‐stretch quantitative phase microscopy. Cytometry Part A. 91(5). 494–502. 60 indexed citations

12.

Nakada, Takashi, et al.. (2016). 18S Ribosomal RNA Gene Phylogeny of a Colonial Volvocalean Lineage (Tetrabaenaceae-Goniaceae-Volvocaceae, Volvocales, Chlorophyceae) and Its Close Relatives. 91. 354. 4 indexed citations

13.

Wakisaka, Yoshifumi, Yuta Suzuki, Osamu Iwata, et al.. (2016). Probing the metabolic heterogeneity of live Euglena gracilis with stimulated Raman scattering microscopy. Nature Microbiology. 1(10). 16124–16124. 97 indexed citations

14.

Guo, Baoshan, Cheng Lei, Takuro Ito, et al.. (2016). High-Throughput Accurate Single-Cell Screening of Euglena gracilis with Fluorescence-Assisted Optofluidic Time-Stretch Microscopy. PLoS ONE. 11(11). e0166214–e0166214. 24 indexed citations

15.

Cheng, Kian-Kai, Takeshi Masuda, Takuro Ito, et al.. (2014). Global metabolic network reorganization by adaptive mutations allows fast growth of Escherichia coli on glycerol. Nature Communications. 5(1). 3233–3233. 76 indexed citations

16.

Ito, Takuro, Miho Tanaka, Takashi Nakada, et al.. (2012). Metabolic and morphological changes of an oil accumulating trebouxiophycean alga in nitrogen-deficient conditions. Metabolomics. 9(S1). 178–187. 61 indexed citations

17.

Suzuki, Go, Akie Kikuchi‐Taura, Misa Onishi, et al.. (2011). Random BAC FISH of monocot plants reveals differential distribution of repetitive DNA elements in small and large chromosome species. Plant Cell Reports. 31(4). 621–628. 11 indexed citations

18.

Ito, Takuro, Yayoi Yoshioka, T. Sonoda, et al.. (2006). Mechanism of glass ampoule breakage prevention during the freeze-drying process of sodium thiopental lyophilization products on addition of sodium chloride. Journal of Thermal Analysis and Calorimetry. 85(3). 731–739. 2 indexed citations

19.

Nakamura, Toru, Tatsuya Fukuda, Jun Yokoyama, et al.. (2006). Spatiotemporal expression of duplicate AGAMOUS orthologues during floral development in Phalaenopsis. Development Genes and Evolution. 216(6). 301–313. 40 indexed citations

20.

Fukuda, Tatsuya, Jun Yokoyama, Toru Nakamura, et al.. (2005). Molecular phylogeny and evolution of alcohol dehydrogenase (Adh) genes in legumes. BMC Plant Biology. 5(1). 6–6. 20 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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