Keiko Sakata

33 total papers · 877 total citations
25 papers, 723 citations indexed

About

Keiko Sakata is a scholar working on Molecular Biology, Pharmacology and Plant Science. According to data from OpenAlex, Keiko Sakata has authored 25 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Pharmacology and 6 papers in Plant Science. Recurrent topics in Keiko Sakata's work include Inflammatory mediators and NSAID effects (4 papers), Synthesis of Organic Compounds (3 papers) and Food Science and Nutritional Studies (2 papers). Keiko Sakata is often cited by papers focused on Inflammatory mediators and NSAID effects (4 papers), Synthesis of Organic Compounds (3 papers) and Food Science and Nutritional Studies (2 papers). Keiko Sakata collaborates with scholars based in Japan and China. Keiko Sakata's co-authors include Yoshinobu Hirose, Qiao Zheng, Takuji Tanaka, Naoki Yoshimi, Hideki Mori, Hideki Mori, Yasuhiro Yamada, Toshiya Kuno, Shigeyuki Sugie and Akira Murakami and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Carcinogenesis and Cancer Letters.

In The Last Decade

Keiko Sakata

25 papers receiving 689 citations

Author Peers

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

Author						Papers	Cites
Keiko Sakata	357	131	110	93	81	25	723
Preethi Vetrivel	416 1.2×	131 1.0×	110 1.0×	111 1.2×	63 0.8×	33	770
Iqra Sarfraz	396 1.1×	128 1.0×	76 0.7×	80 0.9×	114 1.4×	23	809
Sang Eun Ha	461 1.3×	125 1.0×	133 1.2×	123 1.3×	85 1.0×	32	853
Hun Hwan Kim	360 1.0×	111 0.8×	114 1.0×	101 1.1×	61 0.8×	44	712
Sangeetha Nagarajan	332 0.9×	86 0.7×	95 0.9×	97 1.0×	70 0.9×	28	685
Kanokkarn Phromnoi	329 0.9×	147 1.1×	121 1.1×	98 1.1×	57 0.7×	18	761
Jen‐Jyh Lin	378 1.1×	110 0.8×	84 0.8×	64 0.7×	62 0.8×	28	782
Dipta Dey	349 1.0×	100 0.8×	88 0.8×	111 1.2×	42 0.5×	30	841
June‐Ki Kim	297 0.8×	125 1.0×	86 0.8×	95 1.0×	65 0.8×	20	658
Ting‐Tsz Ou	441 1.2×	118 0.9×	172 1.6×	83 0.9×	58 0.7×	24	909

Countries citing papers authored by Keiko Sakata

Since Specialization

Citations

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

Fields of papers citing papers by Keiko Sakata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Sakata

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