Takao Itakura

67 total papers · 775 total citations
44 papers, 640 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 640 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), Computational Drug Discovery Methods (9 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). Takao Itakura is often cited by papers focused on Pharmacogenetics and Drug Metabolism (12 papers), Computational Drug Discovery Methods (9 papers) and Metabolomics and Mass Spectrometry Studies (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, Kaname Kawajiri, Loren C. Skow, Shuichiro Kubo, 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 617 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Takao Itakura	231	199	145	136	112	44	640
Thiago Estevam Parente	286 1.2×	219 1.1×	139 1.0×	101 0.7×	58 0.5×	27	740
James D. Yarbrough	304 1.3×	117 0.6×	77 0.5×	87 0.6×	33 0.3×	60	597
Ulla Koivusaari	343 1.5×	117 0.6×	165 1.1×	159 1.2×	32 0.3×	23	566
Liv Søfteland	416 1.8×	150 0.8×	167 1.2×	14 0.1×	120 1.1×	30	737
Sunil Kumar Srivastav	294 1.3×	76 0.4×	52 0.4×	71 0.5×	78 0.7×	63	589
T.K. Collier	400 1.7×	74 0.4×	175 1.2×	44 0.3×	70 0.6×	30	589
Hui-Su Kim	243 1.1×	218 1.1×	136 0.9×	27 0.2×	55 0.5×	31	593
Sonja Kaišarević	230 1.0×	124 0.6×	167 1.2×	51 0.4×	13 0.1×	38	658
Weini Zhang	131 0.6×	111 0.6×	92 0.6×	28 0.2×	226 2.0×	32	578
R. E. Dailey	112 0.5×	162 0.8×	25 0.2×	35 0.3×	32 0.3×	27	766

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

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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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