Masaki Fujishima

474 total citations
16 papers, 334 citations indexed

About

Masaki Fujishima is a scholar working on Molecular Biology, Nutrition and Dietetics and Biotechnology. According to data from OpenAlex, Masaki Fujishima has authored 16 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Nutrition and Dietetics and 3 papers in Biotechnology. Recurrent topics in Masaki Fujishima's work include Microbial Metabolites in Food Biotechnology (4 papers), Polysaccharides and Plant Cell Walls (3 papers) and Food composition and properties (2 papers). Masaki Fujishima is often cited by papers focused on Microbial Metabolites in Food Biotechnology (4 papers), Polysaccharides and Plant Cell Walls (3 papers) and Food composition and properties (2 papers). Masaki Fujishima collaborates with scholars based in Japan, Taiwan and Jamaica. Masaki Fujishima's co-authors include Tomohiro Bito, Fumio Watanabe, Noureddine Benkeblia, Norio Shiomi, Shuichi Onodera, Hideki Sakai, Keiji Ueno, Michie Kobayashi, Kohichi Takada and Hidekatsu Takeda and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and New Phytologist.

In The Last Decade

Masaki Fujishima

16 papers receiving 327 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Masaki Fujishima Japan 8 126 91 72 61 51 16 334
Dušan Samek Czechia 6 153 1.2× 44 0.5× 111 1.5× 50 0.8× 189 3.7× 9 372
Rosa C. Bermúdez Cuba 12 136 1.1× 25 0.3× 143 2.0× 69 1.1× 90 1.8× 22 393
Yoshihisa Nakano Japan 14 129 1.0× 50 0.5× 255 3.5× 67 1.1× 43 0.8× 33 483
Chiaki Oyamada Japan 8 99 0.8× 38 0.4× 96 1.3× 40 0.7× 143 2.8× 12 343
Marianne Østerlie Norway 9 81 0.6× 107 1.2× 144 2.0× 25 0.4× 115 2.3× 14 534
Masao Okuda Japan 13 202 1.6× 53 0.6× 86 1.2× 27 0.4× 66 1.3× 21 442
Satoshi Wanezaki Japan 6 60 0.5× 79 0.9× 90 1.3× 48 0.8× 89 1.7× 9 320
Viviane Priscila Barros de Medeiros Brazil 8 136 1.1× 82 0.9× 102 1.4× 24 0.4× 52 1.0× 15 288
Sibusiso Luthuli China 4 48 0.4× 108 1.2× 117 1.6× 47 0.8× 327 6.4× 8 460
Bob Capelli United States 4 203 1.6× 40 0.4× 88 1.2× 18 0.3× 74 1.5× 6 366

Countries citing papers authored by Masaki Fujishima

Since Specialization
Citations

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

Fields of papers citing papers by Masaki Fujishima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaki Fujishima

This figure shows the co-authorship network connecting the top 25 collaborators of Masaki Fujishima. A scholar is included among the top collaborators of Masaki Fujishima 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 Masaki Fujishima. Masaki Fujishima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
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Kawano, Yutaka, Maki Tanaka, Y. Satoh, et al.. (2024). Acanthopanax senticosus ameliorates steatohepatitis through HNF4 alpha pathway activation in mice. Scientific Reports. 14(1). 110–110. 1 indexed citations
4.
Uchiyama‐Tanaka, Yoko, et al.. (2023). The effect of Chlorella supplementation in pregnant women with low‐grade inflammation. Food Science & Nutrition. 12(1). 292–297. 1 indexed citations
5.
Nishimoto, Yuichiro, Yuka Mori, Masaki Ito, et al.. (2021). The Nutritional Efficacy of Chlorella Supplementation Depends on the Individual Gut Environment: A Randomised Control Study. Frontiers in Nutrition. 8. 648073–648073. 10 indexed citations
6.
Wang, Jing, et al.. (2021). Phenethylamine in chlorella alleviates high-fat diet-induced mouse liver damage by regulating generation of methylglyoxal. npj Science of Food. 5(1). 22–22. 10 indexed citations
7.
Kawano, Yutaka, Maki Tanaka, Masaki Fujishima, et al.. (2021). Acanthopanax senticosus Harms extract causes G0/G1 cell cycle arrest and autophagy via inhibition of Rubicon in human liver cancer cells. Oncology Reports. 45(3). 1193–1201. 14 indexed citations
8.
Bito, Tomohiro, et al.. (2020). Potential of Chlorella as a Dietary Supplement to Promote Human Health. Nutrients. 12(9). 2524–2524. 182 indexed citations
10.
Kobayashi, Michie, et al.. (2010). Influence of Chlorella powder intake during swimming stress in mice. Biochemical and Biophysical Research Communications. 404(1). 121–126. 12 indexed citations
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14.
Shiomi, Naofumi, Noureddine Benkeblia, Shin‐ichi Onodera, et al.. (2008). Saccharide and fructooligosaccharide accumulation across leaf-bases during growth and bulb development of onion ( Allium cepa L.). Acta Agronomica Hungarica. 56(1). 21–31. 7 indexed citations
16.
Fujishima, Masaki, Hideki Sakai, Keiji Ueno, et al.. (2004). Purification and characterization of a fructosyltransferase from onion bulbs and its key role in the synthesis of fructo‐oligosaccharides in vivo. New Phytologist. 165(2). 513–524. 63 indexed citations

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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