Mitsuya Tsuda

1.6k total citations
69 papers, 1.3k citations indexed

About

Mitsuya Tsuda is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Mitsuya Tsuda has authored 69 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Plant Science, 34 papers in Cell Biology and 29 papers in Molecular Biology. Recurrent topics in Mitsuya Tsuda's work include Plant Pathogens and Fungal Diseases (32 papers), Mycorrhizal Fungi and Plant Interactions (15 papers) and Fungal Biology and Applications (12 papers). Mitsuya Tsuda is often cited by papers focused on Plant Pathogens and Fungal Diseases (32 papers), Mycorrhizal Fungi and Plant Interactions (15 papers) and Fungal Biology and Applications (12 papers). Mitsuya Tsuda collaborates with scholars based in Japan, China and Indonesia. Mitsuya Tsuda's co-authors include Chihiro Tanaka, Akinori UEYAMA, Oda T, Hajime Ohigashi, Nobuhiro Hirai, Naoki Mori, Tsunashi Kamo, Yasuyuki Kubo, Yasumasa KUWAHARA and Hajime Iwamura and has published in prestigious journals such as Phytochemistry, Mycologia and Bioscience Biotechnology and Biochemistry.

In The Last Decade

Mitsuya Tsuda

67 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitsuya Tsuda Japan 21 901 491 476 322 195 69 1.3k
Hack Sung Jung South Korea 18 837 0.9× 435 0.9× 253 0.5× 344 1.1× 456 2.3× 52 1.1k
Seung Hun Yu South Korea 17 1.0k 1.1× 436 0.9× 405 0.9× 128 0.4× 200 1.0× 78 1.2k
Antonia Gallo Italy 26 1.2k 1.4× 475 1.0× 407 0.9× 119 0.4× 177 0.9× 49 1.6k
A. Bottalico Italy 23 1.4k 1.6× 893 1.8× 163 0.3× 252 0.8× 181 0.9× 58 1.6k
L. Hornok Hungary 23 1.5k 1.6× 962 2.0× 378 0.8× 177 0.5× 210 1.1× 74 1.7k
G. D. Lyon United States 24 1.8k 2.0× 401 0.8× 734 1.5× 181 0.6× 51 0.3× 67 2.1k
Keisuke Kohmoto Japan 26 2.1k 2.3× 1.1k 2.3× 637 1.3× 1.4k 4.2× 151 0.8× 99 2.5k
Sérgio Florentino Pascholati Brazil 22 1.6k 1.7× 762 1.6× 368 0.8× 209 0.6× 154 0.8× 96 1.9k
Antonio Bottalico Italy 19 1.7k 1.9× 991 2.0× 176 0.4× 320 1.0× 161 0.8× 28 1.9k
R. J. W. Byrde United Kingdom 19 1.0k 1.1× 393 0.8× 302 0.6× 371 1.2× 84 0.4× 81 1.3k

Countries citing papers authored by Mitsuya Tsuda

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuya Tsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuya Tsuda

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

All Works

20 of 20 papers shown
1.
Noge, Koji, Naoki Mori, Chihiro Tanaka, et al.. (2005). Identification of astigmatid mites using the second internal transcribed spacer (ITS2) region and its application for phylogenetic study. Experimental and Applied Acarology. 35(1-2). 29–46. 34 indexed citations
2.
T, Oda, Chihiro Tanaka, & Mitsuya Tsuda. (2004). Molecular phylogeny and biogeography of the widely distributed Amanita species, A. muscaria and A. pant henna. Mycological Research. 108(8). 885–896. 39 indexed citations
3.
Oikawa, Akira, Atsushi Ishihara, Chihiro Tanaka, et al.. (2004). Accumulation of HDMBOA-Glc is induced by biotic stresses prior to the release of MBOA in maize leaves. Phytochemistry. 65(22). 2995–3001. 86 indexed citations
4.
Tanaka, Eiji, Chihiro Tanaka, Naoki Mori, Yasumasa KUWAHARA, & Mitsuya Tsuda. (2003). Phenylpropanoid amides of serotonin accumulate in witches’ broom diseased bamboo. Phytochemistry. 64(5). 965–969. 62 indexed citations
5.
Hirai, Nobuhiro, et al.. (2001). Actinidic Acid, a New Triterpene Phytoalexin from Unripe Kiwi Fruit. Bioscience Biotechnology and Biochemistry. 65(2). 480–483. 37 indexed citations
6.
T, Oda, Chihiro Tanaka, & Mitsuya Tsuda. (2001). Amanita imazekii—a new species inAmanitasectionCaesareae. Mycologia. 93(6). 1231–1234. 1 indexed citations
7.
Hirai, Nobuhiro, et al.. (2000). Triterpene Phytoalexins from Strawberry Fruit. Bioscience Biotechnology and Biochemistry. 64(8). 1707–1712. 31 indexed citations
8.
Tebayashi, Shin‐ichi, Atsushi Ishihara, Mitsuya Tsuda, & Hajime Iwamura. (2000). Induction of clovamide by jasmonic acid in red clover. Phytochemistry. 54(4). 387–392. 34 indexed citations
9.
T, Oda, Chihiro Tanaka, & Mitsuya Tsuda. (1999). Molecular phylogeny of Japanese Amanita species based on nucleotide sequences of the internal transcribed spacer region of nuclear ribosomal DNA. Mycoscience. 40(1). 57–64. 51 indexed citations
10.
Tsukamoto, Hiroshi, Mitsuya Tsuda, & Takane Fujimori. (1999). Survey and Evaluation of Ustilago trichophora as Bioherbicidal Agent for Echinochloa Species.. Japanese Journal of Phytopathology. 65(5). 537–542.
11.
Tanaka, Chihiro, et al.. (1998). Phylogeny of Bipolaris inferred from nucleotide sequences of Brn1, a reductase gene involved in melanin biosynthesis.. The Journal of General and Applied Microbiology. 44(4). 251–258. 20 indexed citations
12.
Kamo, Tsunashi, et al.. (1998). A biosynthetic intermediate of phytoalexins in banana fruits. Phytochemistry. 49(6). 1617–1621. 7 indexed citations
13.
Gafur, Abdul, et al.. (1998). Molecular analysis and characterization of the Cochliobolus heterostrophus .BETA.-tubulin gene and its possible role in conferring resistance to benomyl.. The Journal of General and Applied Microbiology. 44(3). 217–223. 19 indexed citations
14.
Kamo, Tsunashi, et al.. (1998). Phenylphenalenone-type Phytoalexins from Unripe Buñgulan Banana Fruit. Bioscience Biotechnology and Biochemistry. 62(1). 95–101. 54 indexed citations
15.
Tanaka, Chihiro, et al.. (1997). Cloning of Brn1, a reductase gene involved in melanin biosynthesis in Cochliobolus heterostrophus.. The Journal of General and Applied Microbiology. 43(3). 145–150. 33 indexed citations
16.
Setoguchi, Hiroaki, et al.. (1997). Molecular phylogeny ofNothofagus (Nothofagaceae) based on theatpB-rbcL intergenic spacer of the chloroplast DNA. Journal of Plant Research. 110(4). 469–484. 51 indexed citations
17.
Tsuda, Mitsuya, et al.. (1995). Infection Sources and Causal Agents of Alternaria Rot of Okra Pods.. Japanese Journal of Phytopathology. 61(4). 346–349. 3 indexed citations
18.
Tsuda, Mitsuya, et al.. (1994). Bulb canker of garlic caused by Embellisia allii, newly found in Japan. Mycoscience. 35(4). 421–424. 3 indexed citations
19.
Tsuda, Mitsuya, et al.. (1988). Ascospore dispersion of the causal agent of nectria blight of Piper nigrum.. Japanese Journal of Phytopathology. 54(3). 303–308. 12 indexed citations
20.
Tsuda, Mitsuya, et al.. (1977). Pseudocochliobolus Nisikadoi , the Perfect State of Helminthosporium Coicis. Mycologia. 69(6). 1109–1120. 25 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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