Mitsuaki Maseki

9 total papers · 631 total citations
7 papers, 538 citations indexed

About

Mitsuaki Maseki is a scholar working on Surgery, Nutrition and Dietetics and Biochemistry. According to data from OpenAlex, Mitsuaki Maseki has authored 7 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Nutrition and Dietetics and 2 papers in Biochemistry. Recurrent topics in Mitsuaki Maseki's work include Fatty Acid Research and Health (2 papers), Antioxidant Activity and Oxidative Stress (2 papers) and Cholesterol and Lipid Metabolism (1 paper). Mitsuaki Maseki is often cited by papers focused on Fatty Acid Research and Health (2 papers), Antioxidant Activity and Oxidative Stress (2 papers) and Cholesterol and Lipid Metabolism (1 paper). Mitsuaki Maseki collaborates with scholars based in Japan. Mitsuaki Maseki's co-authors include Ikuo Nishigaki, Kunio Yagi, Masako Hagihara, Hiroshi Tsunekawa, Yutaka Tomoda, Mao Hagihara, Kunio Yagi, Tetsuya Tsuda, Genkichi Nakagawa and Kenta Yagi and has published in prestigious journals such as Clinica Chimica Acta, Journal of High Resolution Chromatography and International Journal of Health Care Quality Assurance.

In The Last Decade

Mitsuaki Maseki

7 papers receiving 499 citations

Author Peers

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

Author						Papers	Cites
Mitsuaki Maseki	162	116	96	96	86	7	538
Liliane Dubourg	93 0.6×	144 1.2×	100 1.0×	80 0.8×	103 1.2×	13	564
Ümit Mutlu-Türkoğlu	72 0.4×	112 1.0×	142 1.5×	117 1.2×	109 1.3×	16	610
Cinzia Moroni	50 0.3×	93 0.8×	93 1.0×	34 0.4×	108 1.3×	19	566
Vicente Giner	91 0.6×	114 1.0×	129 1.3×	16 0.2×	135 1.6×	15	578
Chang-De Zhan	37 0.2×	96 0.8×	96 1.0×	27 0.3×	152 1.8×	7	454
Jerzy Michalak	74 0.5×	110 0.9×	98 1.0×	12 0.1×	56 0.7×	8	464
Alain Montoudis	43 0.3×	170 1.5×	153 1.6×	65 0.7×	78 0.9×	15	495
A Kadziołka	75 0.5×	114 1.0×	101 1.1×	11 0.1×	56 0.7×	14	488
Walter Passalacqua	81 0.5×	136 1.2×	84 0.9×	21 0.2×	95 1.1×	6	513
S. Madani	42 0.3×	94 0.8×	82 0.9×	70 0.7×	108 1.3×	12	464

Countries citing papers authored by Mitsuaki Maseki

Since Specialization

Citations

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

Fields of papers citing papers by Mitsuaki Maseki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuaki Maseki

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