Mitsuru Katase

460 total citations
10 papers, 322 citations indexed

About

Mitsuru Katase is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Aquatic Science. According to data from OpenAlex, Mitsuru Katase has authored 10 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Pathology and Forensic Medicine and 3 papers in Aquatic Science. Recurrent topics in Mitsuru Katase's work include Seaweed-derived Bioactive Compounds (3 papers), Biosensors and Analytical Detection (3 papers) and Phytoestrogen effects and research (3 papers). Mitsuru Katase is often cited by papers focused on Seaweed-derived Bioactive Compounds (3 papers), Biosensors and Analytical Detection (3 papers) and Phytoestrogen effects and research (3 papers). Mitsuru Katase collaborates with scholars based in Japan, Switzerland and France. Mitsuru Katase's co-authors include Kazunobu Tsumura, Takao Nagano, John W. Chapman, Bon Kimura, Kathie Grant, Marc W. Allard, Peter Gerner‐Smidt, Silin Tang, Peter McClure and Jos van der Vossen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and Food Control.

In The Last Decade

Mitsuru Katase

9 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitsuru Katase Japan 7 155 150 59 45 40 10 322
Chaolan Liu China 10 155 1.0× 174 1.2× 89 1.5× 74 1.6× 15 0.4× 20 318
Irma M.H. van Rijswijck Netherlands 8 200 1.3× 241 1.6× 47 0.8× 77 1.7× 28 0.7× 14 349
Olga Valciņa Latvia 11 176 1.1× 130 0.9× 73 1.2× 25 0.6× 25 0.6× 27 434
Lihua Hou China 13 254 1.6× 251 1.7× 53 0.9× 21 0.5× 81 2.0× 25 469
Hyelyeon Hwang South Korea 11 188 1.2× 208 1.4× 31 0.5× 30 0.7× 17 0.4× 13 370
Valentin Tilloy France 9 126 0.8× 144 1.0× 25 0.4× 25 0.6× 24 0.6× 18 355
Helena Lucena-Padrós Spain 10 172 1.1× 269 1.8× 62 1.1× 18 0.4× 14 0.3× 12 336
Benjamin Zwirzitz Austria 12 166 1.1× 186 1.2× 65 1.1× 26 0.6× 26 0.7× 21 385
Kwang‐Yup Kim South Korea 13 158 1.0× 199 1.3× 140 2.4× 37 0.8× 85 2.1× 44 426
Tanushree B. Gupta New Zealand 12 137 0.9× 136 0.9× 45 0.8× 22 0.5× 51 1.3× 43 363

Countries citing papers authored by Mitsuru Katase

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuru Katase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuru Katase

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

All Works

10 of 10 papers shown
1.
Nagano, Takao, Mitsuru Katase, & Kazunobu Tsumura. (2021). Effect of a diet containing a mixture of soybean isoflavones and soyasaponins on contact hypersensitivity and gut microbiota in mice. SHILAP Revista de lepidopterología. 2(3). 316–323. 13 indexed citations
2.
Nagano, Takao, Mitsuru Katase, & Kazunobu Tsumura. (2018). Inhibitory effects of dietary soy isoflavone and gut microbiota on contact hypersensitivity in mice. Food Chemistry. 272. 33–38. 16 indexed citations
3.
Jagadeesan, Balamurugan, Peter Gerner‐Smidt, Marc W. Allard, et al.. (2018). The use of next generation sequencing for improving food safety: Translation into practice. Food Microbiology. 79. 96–115. 235 indexed citations
4.
Nagano, Takao, Mitsuru Katase, & Kazunobu Tsumura. (2018). Dietary soyasaponin attenuates 2,4-dinitrofluorobenzene-induced contact hypersensitivity via gut microbiota in mice. Clinical & Experimental Immunology. 195(1). 86–95. 17 indexed citations
5.
Nagano, Takao, Mitsuru Katase, & Kazunobu Tsumura. (2018). Impact of soymilk consumption on 2,4-dinitrofluorobenzene-induced contact hypersensitivity and gut microbiota in mice. International Journal of Food Sciences and Nutrition. 70(5). 579–584. 8 indexed citations
6.
Nagano, Takao, Mitsuru Katase, Kazunobu Tsumura, Mineki Saito, & Tsukasa Matsuda. (2016). Inhibitory effects of dietary soyasaponin on 2,4‐dinitrofluorobenzene‐induced contact hypersensitivity in mice. Experimental Dermatology. 26(3). 249–254. 13 indexed citations
7.
Katase, Mitsuru & Kazunobu Tsumura. (2014). High-Throughput Identification of Coliforms in Processed Soybean Products Using Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry. Food Science and Technology Research. 20(5). 1093–1097.
9.
Katase, Mitsuru, et al.. (2013). Rapid enumeration of viable bacterial cells in processed soy products using an automated cell counting system. Food Control. 32(2). 501–504. 1 indexed citations
10.
Katase, Mitsuru & Kazunobu Tsumura. (2011). Enumeration of micro-organisms in processed soy products with an automated most probable number method compared with standard plate method. Letters in Applied Microbiology. 53(5). 539–545. 18 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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