Takao Itakura

778 total citations
44 papers, 644 citations indexed

About

Takao Itakura is a scholar working on Molecular Biology, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Takao Itakura has authored 44 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 12 papers in Pharmacology and 9 papers in Computational Theory and Mathematics. Recurrent topics in Takao Itakura's work include Pharmacogenetics and Drug Metabolism (12 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Computational Drug Discovery Methods (9 papers). Takao Itakura is often cited by papers focused on Pharmacogenetics and Drug Metabolism (12 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Computational Drug Discovery Methods (9 papers). Takao Itakura collaborates with scholars based in Japan, Egypt and Bangladesh. Takao Itakura's co-authors include Tomohide Uno, Mayumi Ishizuka, Masahiko Negishi, Garry Wong, Shuichiro Kubo, Kaname Kawajiri, Loren C. Skow, Kiyotaka Watanabe, Mamoru Sato and Masaharu Komatsu and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and European Journal of Biochemistry.

In The Last Decade

Takao Itakura

42 papers receiving 621 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takao Itakura Japan 12 231 200 145 136 112 44 644
Jun‐Lan Wang‐Buhler United States 11 244 1.1× 118 0.6× 149 1.0× 156 1.1× 46 0.4× 14 475
Kevin M. Kleinow United States 17 613 2.7× 127 0.6× 355 2.4× 145 1.1× 83 0.7× 41 998
Jean Pierre J. P. Cravedi France 11 152 0.7× 86 0.4× 108 0.7× 18 0.1× 75 0.7× 14 504
H. Bresch Germany 17 183 0.8× 266 1.3× 53 0.4× 85 0.6× 13 0.1× 45 802
Heather M. H. Goldstone United States 7 144 0.6× 118 0.6× 44 0.3× 75 0.6× 76 0.7× 7 383
Emilien L. Jamin France 18 208 0.9× 448 2.2× 55 0.4× 39 0.3× 19 0.2× 46 1.0k
Kwan Ha Park South Korea 15 79 0.3× 175 0.9× 36 0.2× 45 0.3× 117 1.0× 46 626
Susila Sivapathasundaram United Kingdom 9 294 1.3× 98 0.5× 124 0.9× 69 0.5× 19 0.2× 9 538
Sofie Poelmans Belgium 11 77 0.3× 188 0.9× 82 0.6× 28 0.2× 70 0.6× 24 682
Daniel P. Selivonchick United States 18 90 0.4× 276 1.4× 24 0.2× 24 0.2× 271 2.4× 33 905

Countries citing papers authored by Takao Itakura

Since Specialization
Citations

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

Fields of papers citing papers by Takao Itakura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takao Itakura

This figure shows the co-authorship network connecting the top 25 collaborators of Takao Itakura. A scholar is included among the top collaborators of Takao Itakura 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 Takao Itakura. Takao Itakura 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.
Itakura, Takao, et al.. (2017). Ubiquitous distribution of fluorescent protein in muscles of four species and two subspecies of eel (genus Anguilla). Journal of Genetics. 96(1). 127–133. 3 indexed citations
2.
Komatsu, Masaharu, Tatsuhiko Furukawa, Shota Takumi, et al.. (2015). Eel green fluorescent protein is associated with resistance to oxidative stress. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 181-182. 35–39. 9 indexed citations
3.
Komatsu, Masaharu, et al.. (2014). Nile Tilapia Neu3 sialidases: Molecular cloning, functional characterization and expression in Oreochromis niloticus. Gene. 552(1). 155–164. 14 indexed citations
4.
Trieu, Tuan, et al.. (2014). cDNA cloning, characterization and expression of cytochrome P450 family 1 (CYP1A) from Javanese medaka, Oryzias javanicus by environmental conditions. AFRICAN JOURNAL OF BIOTECHNOLOGY. 13(18). 1898–1909. 5 indexed citations
5.
Uno, Tomohide, Mayumi Ishizuka, & Takao Itakura. (2012). Cytochrome P450 (CYP) in fish. Environmental Toxicology and Pharmacology. 34(1). 1–13. 269 indexed citations
7.
Itakura, Takao, et al.. (2009). Cloning and sequence analysis of benzo-a-pyrene-inducible cytochrome P450 1A in Nile tilapia (Oreochromis niloticus).. AFRICAN JOURNAL OF BIOTECHNOLOGY. 8(11). 2545–2553. 2 indexed citations
9.
Uno, Tomohide, Satoko Masuda, Hiromasa Imaishi, et al.. (2007). Bioconversion by functional P450 1A9 and P450 1C1 of Anguilla japonica. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 147(3). 278–285. 8 indexed citations
10.
Uchikoba, Tetsuya, et al.. (2004). Detection of Hydrolytic Activity of Trypsin with a Fluorescence-chymotryptic Peptide on a TLC Plate. Bioscience Biotechnology and Biochemistry. 68(1). 222–225. 7 indexed citations
11.
Itakura, Takao, et al.. (2004). Isolation of cDNA of novel cytochrome P450 1B gene, CYP1B2, from Carp (Cyprinus carpio) and its induced expression in gills.. PubMed. 11(6). 345–54. 15 indexed citations
12.
Sato, Mamoru, et al.. (2001). Cloning, Sequencing, and Phylogenetic Analysis of Complementary DNA of Novel Cytochrome P-450 CYP1A in Japanese Eel (Anguilla japonica). Marine Biotechnology. 3(3). 218–223. 5 indexed citations
13.
Aoki, Junya, et al.. (2000). An Eel Cytochrome P450 1A Gene Having No XRE Sequences in Its 5′ Upstream Region of 1600 bp. Marine Biotechnology. 2(2). 167–172. 2 indexed citations
14.
Itakura, Takao, et al.. (1994). A cDNA Clone of Eel Liver Glutamate Dehydrogenase and Its Deduced Amino Acid Sequence. Fisheries Science. 60(6). 747–751.
15.
Yoshioka, Hidefumi, Raija L.P. Lindberg, Garry Wong, et al.. (1990). Characterization and regulation of sex-specific mouse steroid hydroxylase genes. Canadian Journal of Physiology and Pharmacology. 68(6). 754–761. 10 indexed citations
16.
Ichikawa, Takeshi, Takao Itakura, & Masahiko Negishi. (1989). Functional characterization of two cytochrome P-450s within the mouse, male-specific steroid 16.alpha.-hydroxylase gene family: expression in mammalian cells and chimeric proteins. Biochemistry. 28(11). 4779–4784. 12 indexed citations
17.
Hayashi, Seiichi, et al.. (1985). Biochemical properties of the lactate dehydrogenase purified from the eel liver.. NIPPON SUISAN GAKKAISHI. 51(1). 79–85. 4 indexed citations
18.
Itakura, Takao, et al.. (1982). Stimulatory effect of ethanol on gluconeogenesis from factate in the isolated liver cells of the eel.. NIPPON SUISAN GAKKAISHI. 48(12). 1789–1793. 1 indexed citations
19.
Hayashi, Seiichi, et al.. (1982). Biochemical properties of glutamate dehydrogenase purified from eel liver.. NIPPON SUISAN GAKKAISHI. 48(5). 697–701. 10 indexed citations
20.
Watanabe, Kiyotaka, Takao Itakura, & Shuichiro Kubo. (1979). Distribution of Adenylate Kinase Isozymes in Porcine Tissues and Their Subcellular Localization. The Journal of Biochemistry. 85(3). 799–805. 8 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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