Junshi Yazaki

8.0k total citations · 1 hit paper
48 papers, 4.0k citations indexed

About

Junshi Yazaki is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Junshi Yazaki has authored 48 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Plant Science, 26 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Junshi Yazaki's work include Plant Molecular Biology Research (16 papers), Plant Stress Responses and Tolerance (8 papers) and Plant nutrient uptake and metabolism (8 papers). Junshi Yazaki is often cited by papers focused on Plant Molecular Biology Research (16 papers), Plant Stress Responses and Tolerance (8 papers) and Plant nutrient uptake and metabolism (8 papers). Junshi Yazaki collaborates with scholars based in Japan, United States and France. Junshi Yazaki's co-authors include Joseph R. Ecker, Huaming Chen, Xiaoyu Zhang, Ian R. Henderson, Matteo Pellegrini, Wan Chan, Shawn Cokus, Steve Jacobsen, Paul Shinn and Shoshi Kikuchi and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Junshi Yazaki

48 papers receiving 3.9k citations

Hit Papers

Genome-wide High-Resolution Mapping and Functional Analys... 2006 2026 2012 2019 2006 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junshi Yazaki Japan 24 3.1k 2.2k 413 102 88 48 4.0k
Hairong Wei United States 32 2.3k 0.8× 2.8k 1.3× 320 0.8× 77 0.8× 184 2.1× 142 4.5k
Ute Baumann Australia 33 3.0k 1.0× 1.4k 0.6× 541 1.3× 108 1.1× 26 0.3× 85 3.5k
Alexander R. van der Krol Netherlands 34 2.8k 0.9× 3.3k 1.5× 190 0.5× 278 2.7× 97 1.1× 73 4.3k
Stefanie De Bodt Belgium 25 2.7k 0.9× 2.4k 1.1× 378 0.9× 160 1.6× 26 0.3× 28 3.5k
Jixian Zhai China 47 5.3k 1.7× 3.6k 1.6× 314 0.8× 85 0.8× 290 3.3× 94 6.4k
Soo Young Kim South Korea 30 4.4k 1.4× 3.0k 1.4× 141 0.3× 63 0.6× 111 1.3× 64 5.1k
Qi You China 17 2.1k 0.7× 1.5k 0.7× 327 0.8× 76 0.7× 85 1.0× 48 2.8k
Wilco Ligterink Netherlands 34 3.5k 1.1× 2.1k 0.9× 189 0.5× 167 1.6× 20 0.2× 82 4.2k
Mary Galli United States 22 2.9k 0.9× 2.5k 1.1× 404 1.0× 68 0.7× 29 0.3× 38 3.6k
Yue Zhang China 31 2.2k 0.7× 2.0k 0.9× 503 1.2× 188 1.8× 125 1.4× 172 3.5k

Countries citing papers authored by Junshi Yazaki

Since Specialization
Citations

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

Fields of papers citing papers by Junshi Yazaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junshi Yazaki

This figure shows the co-authorship network connecting the top 25 collaborators of Junshi Yazaki. A scholar is included among the top collaborators of Junshi Yazaki 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 Junshi Yazaki. Junshi Yazaki 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.
Kawasaki, Hiroshi, Keiji Tanese, Tamotsu Ebihara, et al.. (2025). An unbiased tissue transcriptome analysis identifies potential markers for skin phenotypes and therapeutic responses in atopic dermatitis. Nature Communications. 16(1). 4981–4981. 2 indexed citations
2.
Yazaki, Junshi, Shino Nemoto, Yong-Woon Han, et al.. (2024). Mapping adipocyte interactome networks by HaloTag-enrichment-mass spectrometry. Biology Methods and Protocols. 9(1). bpae039–bpae039. 1 indexed citations
3.
Kawasaki, Hiroshi, Tomohiro Miyai, Junshi Yazaki, et al.. (2023). Multifaceted analysis of cross-tissue transcriptomes reveals phenotype–endotype associations in atopic dermatitis. Nature Communications. 14(1). 6133–6133. 12 indexed citations
4.
Dal-Bianco, Maximiller, João Paulo Machado, José Cleydson F. Silva, et al.. (2021). A plant-specific syntaxin-6 protein contributes to the intracytoplasmic route for the begomovirus CabLCV. PLANT PHYSIOLOGY. 187(1). 158–173. 10 indexed citations
5.
Yazaki, Junshi. (2020). Novel Protein-oligonucleotide Conjugation Method Involving a High-affinity Capture HaloTag. BIO-PROTOCOL. 10(18). e3759–e3759. 1 indexed citations
6.
Alemán, Fernando, Junshi Yazaki, Yohei Takahashi, et al.. (2016). An ABA-increased interaction of the PYL6 ABA receptor with MYC2 Transcription Factor: A putative link of ABA and JA signaling. Scientific Reports. 6(1). 28941–28941. 187 indexed citations
7.
Qiao, Hong, Katherine Noelani Chang, Junshi Yazaki, & Joseph R. Ecker. (2009). Interplay between ethylene, ETP1/ETP2 F-box proteins, and degradation of EIN2 triggers ethylene responses in Arabidopsis. Genes & Development. 23(4). 512–521. 266 indexed citations
8.
Cusick, Michael E., Haiyuan Yu, Alex Smolyar, et al.. (2008). Literature-curated protein interaction datasets. Nature Methods. 6(1). 39–46. 212 indexed citations
9.
Yazaki, Junshi, Brian D. Gregory, & Joseph R. Ecker. (2007). Mapping the genome landscape using tiling array technology. Current Opinion in Plant Biology. 10(5). 534–542. 45 indexed citations
10.
Gregory, Brian D., Junshi Yazaki, & Joseph R. Ecker. (2007). Utilizing tiling microarrays for whole‐genome analysis in plants. The Plant Journal. 53(4). 636–644. 39 indexed citations
11.
Chekanova, Julia A., Brian D. Gregory, Sergei V. Reverdatto, et al.. (2007). Genome-Wide High-Resolution Mapping of Exosome Substrates Reveals Hidden Features in the Arabidopsis Transcriptome. Cell. 131(7). 1340–1353. 276 indexed citations
12.
Suzuki, Motofumi, Michiko Takahashi, Takashi Tsukamoto, et al.. (2006). Biosynthesis and secretion of mugineic acid family phytosiderophores in zinc‐deficient barley. The Plant Journal. 48(1). 85–97. 180 indexed citations
13.
14.
Yazaki, Junshi. (2003). The Rice PIPELINE: a unification tool for plant functional genomics. Nucleic Acids Research. 32(90001). 383D–387. 43 indexed citations
15.
Akimoto‐Tomiyama, Chiharu, Katsumi Sakata, Junshi Yazaki, et al.. (2003). Rice gene expression in response to N-acetylchitooligosaccharide elicitor: comprehensive analysis by DNA microarray with randomly selected ESTs. Plant Molecular Biology. 52(3). 537–551. 57 indexed citations
16.
Yazaki, Junshi. (2003). Genomics Approach to Abscisic Acid- and Gibberellin-responsive Genes in Rice. DNA Research. 10(6). 249–261. 51 indexed citations
17.
Ikeda, Akira, Shoshi Muto, Junshi Yazaki, et al.. (2003). Novel Gene Encoding a Ca2+-Binding Protein and under Hexokinase-dependent Sugar Regulation. Bioscience Biotechnology and Biochemistry. 67(2). 347–353. 3 indexed citations
19.
Yazaki, Junshi. (2000). Embarking on Rice Functional Genomics Via cDNA Microarray: Use of 3' UTR Probes for Specific Gene Expression Analysis. DNA Research. 7(6). 367–370. 45 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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