Jun Ito

3.8k total citations · 1 hit paper
75 papers, 2.9k citations indexed

About

Jun Ito is a scholar working on Molecular Biology, Plant Science and Surgery. According to data from OpenAlex, Jun Ito has authored 75 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 15 papers in Plant Science and 10 papers in Surgery. Recurrent topics in Jun Ito's work include Photosynthetic Processes and Mechanisms (9 papers), Plant nutrient uptake and metabolism (5 papers) and Plant Molecular Biology Research (5 papers). Jun Ito is often cited by papers focused on Photosynthetic Processes and Mechanisms (9 papers), Plant nutrient uptake and metabolism (5 papers) and Plant Molecular Biology Research (5 papers). Jun Ito collaborates with scholars based in Japan, Australia and United States. Jun Ito's co-authors include Joshua L. Heazlewood, Masatoshi Yamaguchi, Hiroo Fukuda, Tetsuro Mimura, Gorou Horiguchi, Nobuyuki Nishikubo, Taku Demura, Minoru Kubo, A. Harvey Millar and Adam Carroll and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Jun Ito

67 papers receiving 2.9k citations

Hit Papers

Transcription switches for protoxylem and metaxylem vesse... 2005 2026 2012 2019 2005 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Ito Japan 24 1.8k 1.5k 229 224 140 75 2.9k
Eleanor Howe United States 7 1.4k 0.8× 558 0.4× 66 0.3× 102 0.5× 239 1.7× 9 2.4k
Xuejun Chen China 26 1.5k 0.8× 804 0.5× 146 0.6× 424 1.9× 64 0.5× 128 2.6k
Francisco García‐García Spain 31 1.7k 1.0× 526 0.4× 163 0.7× 138 0.6× 257 1.8× 109 3.5k
Huijuan Li China 28 2.0k 1.1× 303 0.2× 238 1.0× 162 0.7× 388 2.8× 129 3.1k
Chittibabu Guda United States 33 2.4k 1.3× 297 0.2× 81 0.4× 249 1.1× 228 1.6× 144 3.5k
Campbell W. Gourlay United Kingdom 27 1.8k 1.0× 487 0.3× 151 0.7× 570 2.5× 140 1.0× 57 2.8k
Canhui Li Canada 27 1.4k 0.7× 774 0.5× 87 0.4× 114 0.5× 67 0.5× 68 3.1k
Peng Xu China 32 1.6k 0.9× 706 0.5× 176 0.8× 117 0.5× 251 1.8× 105 3.0k
Chenwei Wang China 28 1.2k 0.7× 224 0.1× 110 0.5× 197 0.9× 164 1.2× 102 2.5k
Ying Yu China 30 1.3k 0.7× 399 0.3× 127 0.6× 100 0.4× 135 1.0× 114 2.7k

Countries citing papers authored by Jun Ito

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Ito

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Ito. A scholar is included among the top collaborators of Jun Ito 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 Ito. Jun Ito 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.
Mayanagi, Taira, Hideki Ohmomo, Manami Akasaka, et al.. (2026). Inter-individual differentially methylated region-targeted EWAS reveals epigenetic signatures of early childhood adversity. Epigenomics. 18(1). 89–100.
2.
Ito, Jun, et al.. (2024). Evaluation of Pipe Thickness by Magnetic Hammer Test with a Tunnel Magnetoresistive Sensor. Sensors. 24(5). 1620–1620. 1 indexed citations
3.
Akasaka, Manami, Atsushi Kamei, Jun Ito, et al.. (2020). GNAO1 mutation-related severe involuntary movements treated with gabapentin. Brain and Development. 43(4). 576–579. 7 indexed citations
4.
Toda, Yosuke, Fumio Okura, Jun Ito, et al.. (2020). Training instance segmentation neural network with synthetic datasets for crop seed phenotyping. Communications Biology. 3(1). 173–173. 103 indexed citations
5.
Yoshida, Ken‐ichi, Hidenori Fukuoka, Yukiko Odake, et al.. (2018). Multiple Salivary Cortisol Measurements Are a Useful Tool to Optimize Metyrapone Treatment in Patients with Cushing’s Syndromes Treatment: Case Presentations. Frontiers in Endocrinology. 8. 375–375. 17 indexed citations
7.
Ito, Jun, Takeo Fujiwara, Yukifumi Monden, Takanori Yamagata, & Hideki Ohira. (2017). Association of Oxytocin and Parental Prefrontal Activation during Reunion with Infant: A Functional Near-Infrared Spectroscopy Study. Frontiers in Pediatrics. 5. 271–271. 1 indexed citations
9.
Cui, Zi‐Ning, Jun Ito, Hirofumi Dohi, Yoshimiki Amemiya, & Yoshihiro Nishida. (2014). Molecular Design and Synthesis of Novel Salicyl Glycoconjugates as Elicitors against Plant Diseases. PLoS ONE. 9(9). e108338–e108338. 16 indexed citations
10.
Ito, Jun, et al.. (2013). Tetrameric ααββ Aggregate Formation by Stereoisomeric Bidomain Helicene Oligomers. Angewandte Chemie International Edition. 52(20). 5290–5294. 26 indexed citations
11.
Estavillo, Gonzalo M., Yves Verhertbruggen, Henrik Vibe Scheller, et al.. (2013). Isolation of the Plant Cytosolic Fraction for Proteomic Analysis. Methods in molecular biology. 1072. 453–467. 9 indexed citations
12.
13.
Saito, Chieko, Tomohiro Uemura, Chie Awai, et al.. (2011). The occurrence of ‘bulbs’, a complex configuration of the vacuolar membrane, is affected by mutations of vacuolar SNARE and phospholipase in Arabidopsis. The Plant Journal. 68(1). 64–73. 32 indexed citations
14.
Ito, Jun, et al.. (2011). MACCHI-BOU 2 is Required for Early Embryo Patterning and Cotyledon Organogenesis in Arabidopsis. Plant and Cell Physiology. 52(3). 539–552. 53 indexed citations
15.
Ito, Jun, Tanveer S. Batth, Christopher J. Petzold, et al.. (2010). Analysis of theArabidopsisCytosolic Proteome Highlights Subcellular Partitioning of Central Plant Metabolism. Journal of Proteome Research. 10(4). 1571–1582. 106 indexed citations
16.
Ito, Jun, Nicolas L. Taylor, Ian Castleden, et al.. (2009). A survey of the Arabidopsis thaliana mitochondrial phosphoproteome. PROTEOMICS. 9(17). 4229–4240. 67 indexed citations
17.
Shirakawa, Toshiro, Jun Ito, Muhammad Nasrum Massi, et al.. (2006). SCCmec typing and detection of VISA-related genes in methicillin-resistant Staphylococcus aureus clinical strains from Kobe University Hospital, Japan.. PubMed. 37(6). 1149–55. 4 indexed citations
18.
Ito, Jun, Tomihisa Koshino, Renzo Okamoto, & Tomoyuki Saito. (2003). 15-year follow-up study of total knee arthroplasty in patients with rheumatoid arthritis. The Journal of Arthroplasty. 18(8). 984–992. 40 indexed citations
19.
Kimura, Tetsuya, Jun Ito, Akihiro Kawano, et al.. (2000). Purification, Characterization, and Molecular Cloning of Acidophilic Xylanase fromPenicilliumsp.40. Bioscience Biotechnology and Biochemistry. 64(6). 1230–1237. 60 indexed citations
20.
Ito, Jun, et al.. (1990). The Metabolism of Cultured Glioma Cells in Relation to the Cell Kinetics. 1990. 142–149. 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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