Junko Shibato

3.7k total citations
91 papers, 2.9k citations indexed

About

Junko Shibato is a scholar working on Molecular Biology, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Junko Shibato has authored 91 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 35 papers in Plant Science and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in Junko Shibato's work include Plant Stress Responses and Tolerance (15 papers), Neuropeptides and Animal Physiology (10 papers) and Plant responses to elevated CO2 (8 papers). Junko Shibato is often cited by papers focused on Plant Stress Responses and Tolerance (15 papers), Neuropeptides and Animal Physiology (10 papers) and Plant responses to elevated CO2 (8 papers). Junko Shibato collaborates with scholars based in Japan, South Korea and Nepal. Junko Shibato's co-authors include Randeep Rakwal, Ganesh Kumar Agrawal, Yoshinori Masuo, Hitoshi Iwahashi, Keiko Tano, Rie Mizuno, Kenichi Ijiri, Nobuyoshi Akimitsu, Nam‐Soo Jwa and Tomoko Okada and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Junko Shibato

88 papers receiving 2.8k citations

Peers

Junko Shibato
Junko Shibato
Citations per year, relative to Junko Shibato Junko Shibato (= 1×) peers Xiangning Jiang

Countries citing papers authored by Junko Shibato

Since Specialization
Citations

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

Fields of papers citing papers by Junko Shibato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junko Shibato

This figure shows the co-authorship network connecting the top 25 collaborators of Junko Shibato. A scholar is included among the top collaborators of Junko Shibato 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 Junko Shibato. Junko Shibato 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
2.
Shibato, Junko, Fumiko Takenoya, Ai Kimura, et al.. (2024). Lifespan Extension and Motor Function Improvement Effects of Whale Meat Extract in Caenorhabditis elegans. International Journal of Molecular Sciences. 25(23). 12833–12833. 1 indexed citations
3.
Hirako, Satoshi, Takahiro Hirabayashi, Junko Shibato, et al.. (2023). Docosapentaenoic acid-rich oil lowers plasma glucose and lipids in a mouse model of diabetes and mild obesity. Nutrition Research. 118. 128–136. 3 indexed citations
4.
Shibato, Junko, Fumiko Takenoya, Ai Kimura, et al.. (2023). Examining the Effect of Notocactus ottonis Cold Vacuum Isolated Plant Cell Extract on Hair Growth in C57BL/6 Mice Using a Combination of Physiological and OMICS Analyses. Molecules. 28(4). 1565–1565. 3 indexed citations
5.
Suzuki, Keisuke, et al.. (2023). Biomarkers in the Rat Hippocampus and Peripheral Blood for an Early Stage of Mental Disorders Induced by Water Immersion Stress. International Journal of Molecular Sciences. 24(4). 3153–3153. 1 indexed citations
6.
Takenoya, Fumiko, Junko Shibato, Michio Yamashita, et al.. (2023). Transcriptomic (DNA Microarray) and Metabolome (LC-TOF-MS) Analyses of the Liver in High-Fat Diet Mice after Intranasal Administration of GALP (Galanin-like Peptide). International Journal of Molecular Sciences. 24(21). 15825–15825. 2 indexed citations
7.
Fujii, Naoto, Randeep Rakwal, Junko Shibato, et al.. (2023). Galanin receptors modulate cutaneous vasodilation elicited by whole-body and local heating but not thermal sweating in young adults. European Journal of Pharmacology. 954. 175904–175904. 2 indexed citations
8.
Shibato, Junko, Fumiko Takenoya, Takahiro Hirabayashi, et al.. (2021). Molecular Mechanism for PACAP 38-Induced Neurite Outgrowth in PC12 Cells. Neural Plasticity. 2021. 1–12. 4 indexed citations
9.
Rakwal, Randeep, Junko Shibato, Saligrama Deepak, et al.. (2017). Progress Toward Rice Seed OMICS in Low-Level Gamma Radiation Environment in Iitate Village, Fukushima. Journal of Heredity. 109(2). 206–211. 16 indexed citations
10.
Llorens‐Martín, María, Cátia M. Teixeira, Jerónimo Jurado‐Arjona, et al.. (2016). Retroviral induction of GSK-3β expression blocks the stimulatory action of physical exercise on the maturation of newborn neurons. Cellular and Molecular Life Sciences. 73(18). 3569–3582. 14 indexed citations
11.
Kubo, Hiroko, Junko Shibato, Tomomi Saito, et al.. (2015). Unraveling the Rat Intestine, Spleen and Liver Genome-Wide Transcriptome after the Oral Administration of Lavender Oil by a Two-Color Dye-Swap DNA Microarray Approach. PLoS ONE. 10(7). e0129951–e0129951. 9 indexed citations
12.
Yook, Jang Soo, Junko Shibato, Randeep Rakwal, & Hideaki Soya. (2015). DNA microarray-based experimental strategy for trustworthy expression profiling of the hippocampal genes by astaxanthin supplementation in adult mouse. Genomics Data. 7. 32–37. 2 indexed citations
13.
Sarkar, Abhijit, S. B. Agrawal, Randeep Rakwal, Junko Shibato, & Ganesh Kumar Agrawal. (2012). Toward Sustainable Agriculture through Integrated 'OMICS' Technologies : A Quest for Future Global Food Security. 7(1). 103–110. 2 indexed citations
14.
Waditee‐Sirisattha, Rungaroon, Junko Shibato, Randeep Rakwal, et al.. (2011). The Arabidopsis aminopeptidase LAP2 regulates plant growth, leaf longevity and stress response. New Phytologist. 191(4). 958–969. 24 indexed citations
15.
Ogawa, Tetsuo, Randeep Rakwal, Junko Shibato, et al.. (2011). Seeking gene candidates responsible for developmental origins of health and disease. Congenital Anomalies. 51(3). 110–125. 19 indexed citations
16.
Shibato, Junko, et al.. (2009). Gel-based proteomics approach for detecting low nitrogen-responsive proteins in cultivated rice species. Physiology and Molecular Biology of Plants. 15(1). 31–41. 18 indexed citations
17.
Kottapalli, Kameswara Rao, Randeep Rakwal, Kouji Satoh, et al.. (2007). Transcriptional profiling of indica rice cultivar IET8585 (Ajaya) infected with bacterial leaf blight pathogen Xanthomonas oryzae pv oryzae. Plant Physiology and Biochemistry. 45(10-11). 834–850. 36 indexed citations
18.
Kim, Hyunju, et al.. (2006). Effect of textile wastewaters on Saccharomyces cerevisiae using DNA microarray as a tool for genome-wide transcriptomics analysis. Water Research. 40(9). 1773–1782. 15 indexed citations
19.
Jung, Young‐Ho, Ganesh Kumar Agrawal, Randeep Rakwal, et al.. (2006). Functional characterization of OsRacB GTPase – a potentially negative regulator of basal disease resistance in rice. Plant Physiology and Biochemistry. 44(1). 68–77. 31 indexed citations
20.
Agrawal, Ganesh Kumar, Nam‐Soo Jwa, Junko Shibato, et al.. (2003). Diverse environmental cues transiently regulate OsOPR1 of the “octadecanoid pathway” revealing its importance in rice defense/stress and development. Biochemical and Biophysical Research Communications. 310(4). 1073–1082. 69 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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