Nobuhito Mitani

1.4k total citations
58 papers, 1.0k citations indexed

About

Nobuhito Mitani is a scholar working on Plant Science, Food Science and Molecular Biology. According to data from OpenAlex, Nobuhito Mitani has authored 58 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Plant Science, 22 papers in Food Science and 18 papers in Molecular Biology. Recurrent topics in Nobuhito Mitani's work include Horticultural and Viticultural Research (37 papers), Plant Physiology and Cultivation Studies (27 papers) and Fermentation and Sensory Analysis (21 papers). Nobuhito Mitani is often cited by papers focused on Horticultural and Viticultural Research (37 papers), Plant Physiology and Cultivation Studies (27 papers) and Fermentation and Sensory Analysis (21 papers). Nobuhito Mitani collaborates with scholars based in Japan, Australia and Egypt. Nobuhito Mitani's co-authors include Akifumi Azuma, Shozo Kobayashi, Hiroshi Yakushiji, Akihiko Sato, Masahiko Yamada, Atsushi Kono, Yoshiko Koshita, Mikio Shiraishi, Yusuke Ban and Nami Goto‐Yamamoto and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Theoretical and Applied Genetics.

In The Last Decade

Nobuhito Mitani

56 papers receiving 946 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nobuhito Mitani Japan 18 833 592 417 154 118 58 1.0k
J. Carreño Spain 13 920 1.1× 372 0.6× 570 1.4× 195 1.3× 59 0.5× 26 1.0k
Giulia Malacarne Italy 17 724 0.9× 385 0.7× 330 0.8× 60 0.4× 199 1.7× 34 887
Francesco Emanuelli Italy 13 678 0.8× 371 0.6× 460 1.1× 62 0.4× 41 0.3× 17 807
Yi‐He Yu China 23 1.3k 1.5× 931 1.6× 183 0.4× 93 0.6× 98 0.8× 82 1.6k
Akifumi Azuma Japan 16 1.1k 1.4× 1.0k 1.7× 536 1.3× 279 1.8× 51 0.4× 41 1.4k
Mikio Shiraishi Japan 14 653 0.8× 423 0.7× 384 0.9× 134 0.9× 31 0.3× 45 758
Néjia Zoghlami Tunisia 15 539 0.6× 176 0.3× 342 0.8× 89 0.6× 41 0.3× 47 665
Catherine Tesnière France 20 648 0.8× 506 0.9× 511 1.2× 71 0.5× 42 0.4× 44 929
D.A.J. McDavid Australia 7 737 0.9× 829 1.4× 381 0.9× 261 1.7× 43 0.4× 9 1.0k
David W. Ramming United States 23 1.5k 1.8× 622 1.1× 433 1.0× 230 1.5× 354 3.0× 77 1.8k

Countries citing papers authored by Nobuhito Mitani

Since Specialization
Citations

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

Fields of papers citing papers by Nobuhito Mitani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuhito Mitani

This figure shows the co-authorship network connecting the top 25 collaborators of Nobuhito Mitani. A scholar is included among the top collaborators of Nobuhito Mitani 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 Nobuhito Mitani. Nobuhito Mitani 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.
Imai, Atsushi, Takeshi Kuniga, Terutaka Yoshioka, et al.. (2019). Single-step genomic prediction of fruit-quality traits using phenotypic records of non-genotyped relatives in citrus. PLoS ONE. 14(8). e0221880–e0221880. 16 indexed citations
2.
Kono, Atsushi, et al.. (2018). Vitis viniferaにおける葉毛密度とブドウべと病抵抗性を低下させるQTLに関連したSSRマーカーの開発【JST・京大機械翻訳】. Molecular Breeding. 38(11). 1–19. 1 indexed citations
3.
Imai, Atsushi, Takeshi Kuniga, Terutaka Yoshioka, et al.. (2018). Predicting segregation of multiple fruit-quality traits by using accumulated phenotypic records in citrus breeding. PLoS ONE. 13(8). e0202341–e0202341. 4 indexed citations
4.
Imai, Atsushi, Takeshi Kuniga, Terutaka Yoshioka, et al.. (2016). Genetic Background, Inbreeding, and Genetic Uniformity in the National Citrus Breeding Program, Japan. The Horticulture Journal. 86(2). 200–207. 15 indexed citations
5.
Imai, Atsushi, Takeshi Kuniga, Terutaka Yoshioka, et al.. (2016). Evaluation of the best linear unbiased prediction method for breeding values of fruit-quality traits in citrus. Tree Genetics & Genomes. 12(6). 16 indexed citations
6.
Ban, Yusuke, Nobuhito Mitani, Akihiko Sato, Atsushi Kono, & Takeshi Hayashi. (2016). Genetic dissection of quantitative trait loci for berry traits in interspecific hybrid grape (Vitis labruscana × Vitis vinifera). Euphytica. 211(3). 295–310. 34 indexed citations
7.
Azuma, Akifumi, et al.. (2015). VvmybA1 genotype determines grape skin color. Julius Kühn-Institut. 46(3). 154–155. 22 indexed citations
8.
9.
Kono, Atsushi, et al.. (2014). THE INTERACTION OF ELSINOË AMPELINA WITH VITIS VINIFERA. Acta Horticulturae. 121–126. 1 indexed citations
10.
Mitani, Nobuhito, Y. Ban, Akihiko Sato, & Atsushi Kono. (2014). TETRAPLOID TABLE GRAPE BREEDING IN JAPAN. Acta Horticulturae. 225–230. 1 indexed citations
11.
Kono, Atsushi, Akihiko Sato, Yusuke Ban, & Nobuhito Mitani. (2013). Resistance of Vitis Germplasm to Elsinoë ampelina (de Bary) Shear Evaluated by Lesion Number and Diameter. HortScience. 48(12). 1433–1439. 18 indexed citations
12.
Yamada, Mutsuo, Akihiko Sato, Nobuhito Mitani, et al.. (2012). New Japanese persimmon cultivar 'Taigetsu'.. 25–38. 2 indexed citations
13.
Xue, Y. Y., Takuya Miyakawa, Kyoko Okamoto, et al.. (2011). Isolation and Tyrosinase Inhibitory Effects of Polyphenols from the Leaves of Persimmon, Diospyros kaki. Journal of Agricultural and Food Chemistry. 59(11). 6011–6017. 83 indexed citations
14.
Azuma, Akifumi, Akihiko Sato, Nobuhito Mitani, et al.. (2011). Haplotype composition at the color locus is a major genetic determinant of skin color variation in Vitis ×labruscana grapes. Theoretical and Applied Genetics. 122(7). 1427–1438. 53 indexed citations
15.
Azuma, Akifumi, Shozo Kobayashi, Nami Goto‐Yamamoto, et al.. (2009). Color recovery in berries of grape (Vitis vinifera L.) ‘Benitaka’, a bud sport of ‘Italia’, is caused by a novel allele at the VvmybA1 locus. Plant Science. 176(4). 470–478. 82 indexed citations
16.
Azuma, Akifumi, Shozo Kobayashi, Nobuhito Mitani, et al.. (2008). Genomic and genetic analysis of Myb-related genes that regulate anthocyanin biosynthesis in grape berry skin. Theoretical and Applied Genetics. 117(6). 1009–1019. 130 indexed citations
17.
Shiraishi, Mikio, et al.. (2007). A Rapid Determination Method for Anthocyanin Profiling in Grape Genetic Resources. Journal of the Japanese Society for Horticultural Science. 76(1). 28–35. 32 indexed citations
18.
Yakushiji, Hiroshi, et al.. (2006). A Skin Color Mutation of Grapevine, from Black-Skinned Pinot Noir to White-Skinned Pinot Blanc, Is Caused by Deletion of the FunctionalVvmybA1Allele. Bioscience Biotechnology and Biochemistry. 70(6). 1506–1508. 72 indexed citations
19.
20.
Mitani, Nobuhito & Ryoji Matsumoto. (2004). Expression of a Single-chain Antibody against Indole-3-acetic Acid inEscherichia coli. Bioscience Biotechnology and Biochemistry. 68(7). 1565–1568. 1 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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