Takao Itakura

778 citations
44 papers · 644 indexed · h-index 12
Topics
Pharmacogenetics and Drug Metabolism (12 papers)Metabolomics and Mass Spectrometry Studies (9 papers)Computational Drug Discovery Methods (9 papers)
Partner nations
JapanEgyptBangladesh

In The Last Decade

Takao Itakura

42 papers receiving 621 citations

Peers

Takao Itakura
Comparison fields: 5 of 83
  • Health, Toxicology and Mutagenesis 231
  • Molecular Biology 200
  • Pollution 145
  • Pharmacology 136
  • Immunology 112
Replace Kevin M. Kleinow with:
Kevin M. Kleinow United States
Jun‐Lan Wang‐Buhler United States
Kwan Ha Park South Korea
Patricia M. Loveland United States
Heather M. H. Goldstone United States
Eiji Katsura Japan
Ramachandra Reddy Pamuru India
Horacio A. Garda Argentina
Susila Sivapathasundaram United Kingdom
H. Bresch Germany
Takao Itakura relative to Kevin M. Kleinow United States Kevin M. Kleinow's profile →
Citations per field
00.5×
Kevin M. Kleinow · 1×
Citations per year

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
#WorkIndexed citations
1 3
2 9
3 13
4 14
5 5
6 269
7 11
8 2
9 9
10 8
11 7
12 5
13 2
14 0
15 10
16 12
17 4
18 1
19 10
20 8

About Takao Itakura

Takao Itakura is a scholar working on Pharmacology, Physiology and Computational Theory and Mathematics, having authored 44 papers that have together received 644 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (12 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Computational Drug Discovery Methods (9 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (231 citations), Pharmacology (136 citations) and Aquatic Science (104 citations). Takao Itakura has collaborated with scholars based in Japan, Egypt and Bangladesh. Frequent co-authors include Tomohide Uno, Mayumi Ishizuka, Masahiko Negishi, Garry Wong, Kiyotaka Watanabe, Kaname Kawajiri, Loren C. Skow, Shuichiro Kubo, Mamoru Sato and Masaharu Komatsu. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and European Journal of Biochemistry.

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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