Akira Takei

41 total papers · 598 total citations
23 papers, 430 citations indexed

About

Akira Takei is a scholar working on Molecular Biology, Immunology and Nutrition and Dietetics. According to data from OpenAlex, Akira Takei has authored 23 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Nutrition and Dietetics. Recurrent topics in Akira Takei's work include Polysaccharides and Plant Cell Walls (4 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Cell Adhesion Molecules Research (3 papers). Akira Takei is often cited by papers focused on Polysaccharides and Plant Cell Walls (4 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Cell Adhesion Molecules Research (3 papers). Akira Takei collaborates with scholars based in Japan and United States. Akira Takei's co-authors include Maria F. Lopes‐Virella, Gabriel Virella, Katsuo Sueishi, Yoshihiko Tashiro, Ayad A. Jaffa, Yan Huang, Sinikka Koskinen, Yukio Sugimura, Kazuya Otsuji and Susumu Ito and has published in prestigious journals such as Arteriosclerosis Thrombosis and Vascular Biology, Phytochemistry and Thrombosis and Haemostasis.

In The Last Decade

Akira Takei

23 papers receiving 417 citations

Author Peers

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

Author						Papers	Cites
Akira Takei	148	125	63	56	54	23	430
Sawako Moriwaki	76 0.5×	199 1.6×	23 0.4×	10 0.2×	41 0.8×	17	415
Crystal Naudin	67 0.5×	273 2.2×	33 0.5×	31 0.6×	15 0.3×	25	472
Suzanne Graham	40 0.3×	79 0.6×	70 1.1×	25 0.4×	24 0.4×	21	404
Hideharu Fukao	49 0.3×	148 1.2×	40 0.6×	46 0.8×	10 0.2×	34	426
Mohammed A. Attia	132 0.9×	182 1.5×	35 0.6×	11 0.2×	47 0.9×	21	477
Jingjing Wei	183 1.2×	172 1.4×	24 0.4×	20 0.4×	13 0.2×	37	453
Hongping Yin	107 0.7×	115 0.9×	96 1.5×	41 0.7×	8 0.1×	15	482
Grzegorz Terlecki	45 0.3×	172 1.4×	71 1.1×	38 0.7×	11 0.2×	25	486
Hui‐Li Lin	59 0.4×	167 1.3×	83 1.3×	14 0.3×	26 0.5×	28	422
Barun Poudel	93 0.6×	223 1.8×	17 0.3×	68 1.2×	10 0.2×	18	466

Countries citing papers authored by Akira Takei

Since Specialization

Citations

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

Fields of papers citing papers by Akira Takei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Takei

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