Jun-Ichi Itoh

2.4k total citations · 1 hit paper
35 papers, 1.8k citations indexed

About

Jun-Ichi Itoh is a scholar working on Plant Science, Molecular Biology and Oceanography. According to data from OpenAlex, Jun-Ichi Itoh has authored 35 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Plant Science, 24 papers in Molecular Biology and 5 papers in Oceanography. Recurrent topics in Jun-Ichi Itoh's work include Plant Molecular Biology Research (29 papers), Plant Reproductive Biology (21 papers) and Plant nutrient uptake and metabolism (9 papers). Jun-Ichi Itoh is often cited by papers focused on Plant Molecular Biology Research (29 papers), Plant Reproductive Biology (21 papers) and Plant nutrient uptake and metabolism (9 papers). Jun-Ichi Itoh collaborates with scholars based in Japan, United States and New Zealand. Jun-Ichi Itoh's co-authors include Yasuo Nagato, Hidemi Kitano, Yutaka Sato, Kyoko Ikeda, Hiroshi Yamagishi, Yoshiaki Inukai, Shinichiro Yamaki, Ken–Ichi Nonomura, Ken‐ichiro Hibara and Takanori Yoshikawa and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The Plant Cell.

In The Last Decade

Jun-Ichi Itoh

35 papers receiving 1.7k citations

Hit Papers

Rice Plant Development: from Zygote to Spikelet 2005 2026 2012 2019 2005 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Rice Plant Development: from Zygote to Spikelet
    2005 578 citations Jun-Ichi Itoh, Ken–Ichi Nonomura et al. Plant and Cell Physiology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun-Ichi Itoh Japan 20 1.6k 1.1k 264 104 81 35 1.8k
Anand P. Tyagi Fiji 16 1.5k 1.0× 1.1k 1.0× 286 1.1× 203 2.0× 57 0.7× 37 1.7k
Z. Jeffrey Chen United States 7 1.1k 0.7× 689 0.6× 341 1.3× 176 1.7× 33 0.4× 7 1.4k
Ryan A. Rapp United States 14 1.5k 1.0× 828 0.7× 305 1.2× 208 2.0× 45 0.6× 17 1.7k
Janne Lempe Germany 13 1.3k 0.8× 833 0.8× 284 1.1× 195 1.9× 39 0.5× 22 1.5k
Carmen Díaz‐Sala Spain 22 1.2k 0.7× 960 0.9× 87 0.3× 83 0.8× 50 0.6× 45 1.4k
Jeremy E. Coate United States 19 963 0.6× 721 0.7× 209 0.8× 169 1.6× 35 0.4× 25 1.2k
Kapeel Chougule United States 8 672 0.4× 564 0.5× 222 0.8× 87 0.8× 49 0.6× 18 969
Yoshihiro Inoue Japan 16 880 0.6× 455 0.4× 89 0.3× 27 0.3× 93 1.1× 49 1.2k
Naoki Sentoku Japan 21 1.6k 1.0× 1.1k 1.0× 225 0.9× 100 1.0× 20 0.2× 31 1.8k
Jonas Müller Germany 6 1.1k 0.7× 767 0.7× 402 1.5× 77 0.7× 48 0.6× 10 1.4k

Countries citing papers authored by Jun-Ichi Itoh

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Ichi Itoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-Ichi Itoh. 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 Jun-Ichi Itoh. The network helps show where Jun-Ichi Itoh may publish in the future.

Co-authorship network of co-authors of Jun-Ichi Itoh

This figure shows the co-authorship network connecting the top 25 collaborators of Jun-Ichi Itoh. A scholar is included among the top collaborators of Jun-Ichi Itoh 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 Jun-Ichi Itoh. Jun-Ichi Itoh 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.
Mashiguchi, Kiyoshi, et al.. (2023). Fertilization controls tiller numbers via transcriptional regulation of a MAX1-like gene in rice cultivation. Nature Communications. 14(1). 3191–3191. 15 indexed citations
2.
Hibara, Ken‐ichiro, Takanori Yoshikawa, Masaharu Suzuki, et al.. (2021). Regulation of the plastochron by three many-noded dwarf genes in barley. PLoS Genetics. 17(5). e1009292–e1009292. 8 indexed citations
3.
Yoshikawa, Takanori, et al.. (2021). Genome-wide analysis of spatiotemporal expression patterns during rice leaf development. BMC Genomics. 22(1). 169–169. 8 indexed citations
4.
5.
Kishi‐Kaboshi, Mitsuko, Jun-Ichi Itoh, Ken‐ichiro Hibara, et al.. (2019). Specification of the basal region identity after asymmetric zygotic division requires mitogen-activated protein kinase 6 in rice. Development. 146(13). 14 indexed citations
6.
7.
Hibara, Ken‐ichiro, Naoki Sentoku, Mikiko Kojima, et al.. (2016). Jasmonate regulates juvenile-adult phase transition in rice. Development. 143(18). 3407–16. 57 indexed citations
8.
Itoh, Jun-Ichi, et al.. (2014). Genetic interaction between rice PLASTOCHRON genes and the gibberellin pathway in leaf development. Rice. 7(1). 25–25. 16 indexed citations
9.
Yoshikawa, Takanori, et al.. (2013). Change of shoot architecture during juvenile-to-adult phase transition in soybean. Planta. 238(1). 229–237. 36 indexed citations
10.
Tanaka, Nobuhiro, Jun-Ichi Itoh, & Yasuo Nagato. (2012). Role of ricePPSin late vegetative and reproductive growth. Plant Signaling & Behavior. 7(1). 50–52. 2 indexed citations
11.
Itoh, Jun-Ichi, et al.. (2012). Role of Transposon-Derived Small RNAs in the Interplay between Genomes and Parasitic DNA in Rice. PLoS Genetics. 8(9). e1002953–e1002953. 62 indexed citations
12.
Sato, Yutaka, Nobukazu Namiki, Hinako Takehisa, et al.. (2012). RiceFREND: a platform for retrieving coexpressed gene networks in rice. Nucleic Acids Research. 41(D1). D1214–D1221. 115 indexed citations
13.
Nagato, Yasuo, et al.. (2012). Rice PLASTOCHRON genes regulate leaf maturation downstream of the gibberellin signal transduction pathway. Planta. 235(5). 1081–1089. 30 indexed citations
14.
Tanaka, Nobuhiro, Hironori Itoh, Naoki Sentoku, et al.. (2011). The COP1 Ortholog PPS Regulates the Juvenile–Adult and Vegetative–Reproductive Phase Changes in Rice  . The Plant Cell. 23(6). 2143–2154. 71 indexed citations
15.
Abe, Masashi, et al.. (2008). The rice FLATTENED SHOOT MERISTEM, encoding CAF-1 p150 subunit, is required for meristem maintenance by regulating the cell-cycle period. Developmental Biology. 319(2). 384–393. 20 indexed citations
16.
Kawakatsu, Taiji, Jun-Ichi Itoh, Kazumaru Miyoshi, et al.. (2006). PLASTOCHRON2 Regulates Leaf Initiation and Maturation in Rice. The Plant Cell. 18(3). 612–625. 77 indexed citations
17.
Itoh, Jun-Ichi, Yutaka Sato, Yasuo Nagato, & Makoto Matsuoka. (2006). Formation, Maintenance and Function of the Shoot Apical Meristem in Rice. Plant Molecular Biology. 60(6). 827–842. 15 indexed citations
18.
Itoh, Jun-Ichi, Ken–Ichi Nonomura, Kyoko Ikeda, et al.. (2005). Rice Plant Development: from Zygote to Spikelet. Plant and Cell Physiology. 46(1). 23–47. 578 indexed citations breakdown →
19.
20.
Tamaki, Akio, et al.. (1996). Brooding and Larval Developmental Periods of the Callianassid Ghost Shrimp, Callianassa Japonica (Decapoda: Thalassinidea). Journal of the Marine Biological Association of the United Kingdom. 76(3). 675–689. 29 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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