Yasuko Watanabe

6.8k total citations · 2 hit papers
134 papers, 5.3k citations indexed

About

Yasuko Watanabe is a scholar working on Plant Science, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yasuko Watanabe has authored 134 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Plant Science, 47 papers in Molecular Biology and 15 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yasuko Watanabe's work include Plant Molecular Biology Research (30 papers), Plant Stress Responses and Tolerance (24 papers) and Plant Parasitism and Resistance (16 papers). Yasuko Watanabe is often cited by papers focused on Plant Molecular Biology Research (30 papers), Plant Stress Responses and Tolerance (24 papers) and Plant Parasitism and Resistance (16 papers). Yasuko Watanabe collaborates with scholars based in Japan, Vietnam and United States. Yasuko Watanabe's co-authors include Lam‐Son Phan Tran, Kazuko Yamaguchi‐Shinozaki, Kazuo Shinozaki, Dung Tien Le, Rie Nishiyama, Chien Van Ha, Motoaki Seki, Maho Tanaka, Keiichi Mochida and Kien Huu Nguyen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Yasuko Watanabe

129 papers receiving 5.2k citations

Hit Papers

Analysis of Cytokinin Mut... 2011 2026 2016 2021 2011 2013 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yasuko Watanabe 3.5k 2.2k 609 324 261 134 5.3k
Takahiro Ishikawa 3.6k 1.0× 4.1k 1.9× 184 0.3× 574 1.8× 137 0.5× 163 6.7k
Thomas Vogt 3.3k 0.9× 7.2k 3.3× 592 1.0× 369 1.1× 555 2.1× 126 11.3k
Hugh G. Nimmo 3.0k 0.9× 4.3k 2.0× 179 0.3× 86 0.3× 192 0.7× 119 6.1k
Atsushi Fukushima 2.4k 0.7× 3.3k 1.5× 117 0.2× 274 0.8× 114 0.4× 126 5.8k
Juan Segura 1.5k 0.4× 2.7k 1.2× 249 0.4× 214 0.7× 45 0.2× 137 4.6k
Masatoshi Nakajima 3.8k 1.1× 5.1k 2.3× 610 1.0× 103 0.3× 896 3.4× 154 9.3k
Shinobu Satoh 3.2k 0.9× 3.8k 1.7× 181 0.3× 150 0.5× 667 2.6× 192 6.5k
Carol MacKintosh 1.6k 0.5× 6.2k 2.8× 766 1.3× 91 0.3× 239 0.9× 97 9.0k
Jan Petrášek 5.1k 1.5× 4.9k 2.2× 189 0.3× 56 0.2× 197 0.8× 95 7.3k
Makoto Kawase 1.5k 0.4× 2.2k 1.0× 121 0.2× 295 0.9× 68 0.3× 157 5.5k

Countries citing papers authored by Yasuko Watanabe

Since Specialization
Citations

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

Fields of papers citing papers by Yasuko Watanabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuko Watanabe

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuko Watanabe. A scholar is included among the top collaborators of Yasuko Watanabe 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 Yasuko Watanabe. Yasuko Watanabe 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.
Xu, Kun, Chenbo Zhu, Ke Yang, et al.. (2025). The KAI2SMAX1 / SMXL2 Module Regulates Organ Size Through Interaction With Other Hormone Pathways in Arabidopsis thaliana . Physiologia Plantarum. 177(6). e70646–e70646.
3.
Tran, Cuong Duy, Md. Mezanur Rahman, Ha Duc Chu, et al.. (2025). CaNAC67, a stress-responsive NAC transcription factor-encoding gene from chickpea (Cicer arietinum), improves drought tolerance in transgenic Arabidopsis thaliana. Plant Physiology and Biochemistry. 229(Pt B). 110449–110449.
4.
Sulieman, Saad, Chien Van Ha, Dung Tien Le, et al.. (2024). Comparative transcriptome analysis of respiration-related genes in nodules of phosphate-deficient soybean (Glycine max cv. Williams 82). Plant Stress. 11. 100368–100368. 1 indexed citations
5.
Le, Dung Tien, Chien Van Ha, Kien Huu Nguyen, et al.. (2024). Altering endogenous cytokinin content by GmCKX13 as a strategy to develop drought-tolerant plants. Plant Stress. 14. 100678–100678. 3 indexed citations
6.
Ha, Chien Van, Mohammad Golam Mostofa, Kien Huu Nguyen, et al.. (2022). The histidine phosphotransfer AHP4 plays a negative role in Arabidopsis plant response to drought. The Plant Journal. 111(6). 1732–1752. 14 indexed citations
7.
Hossain, Md. Shahadat, Mostafa Abdelrahman, Cuong Duy Tran, et al.. (2022). Modulation of osmoprotection and antioxidant defense by exogenously applied acetate enhances cadmium stress tolerance in lentil seedlings. Environmental Pollution. 308. 119687–119687. 11 indexed citations
8.
ASANO, Atsushi, et al.. (2013). Antiviral and antiproliferative effects of canine interferon-λ1. Veterinary Immunology and Immunopathology. 156(1-2). 141–146. 8 indexed citations
10.
Nishiyama, Rie, Yasuko Watanabe, Yasunari Fujita, et al.. (2011). Analysis of Cytokinin Mutants and Regulation of Cytokinin Metabolic Genes Reveals Important Regulatory Roles of Cytokinins in Drought, Salt and Abscisic Acid Responses, and Abscisic Acid Biosynthesis . The Plant Cell. 23(6). 2169–2183. 591 indexed citations breakdown →
11.
Masubuchi, Yasuhiro, et al.. (2011). Sex difference in susceptibility to acetaminophen hepatotoxicity is reversed by buthionine sulfoximine. Toxicology. 287(1-3). 54–60. 53 indexed citations
12.
Le, Dung Tien, Ryo Nishiyama, Yasuko Watanabe, et al.. (2011). Genome-Wide Expression Profiling of Soybean Two-Component System Genes in Soybean Root and Shoot Tissues under Dehydration Stress. DNA Research. 18(1). 17–29. 108 indexed citations
13.
He, Ting, Nataliya Smith, Debra Saunders, et al.. (2010). Molecular MRI assessment of vascular endothelial growth factor receptor-2 in rat C6 gliomas. Journal of Cellular and Molecular Medicine. 15(4). 837–849. 13 indexed citations
14.
Noguchi, K, et al.. (2010). A New Chondrogenic Differentiation Initiator With the Ability to Up-Regulate SOX Trio Expression. Journal of Pharmacological Sciences. 112(1). 89–97. 6 indexed citations
15.
Kawahara, Koichi, et al.. (2007). Neuron is the primary target of Ca2+ paradox-type insult-induced cell injury in neuron/astrocyte co-cultures. Neurochemistry International. 52(4-5). 887–896. 2 indexed citations
16.
Watanabe, Yasuko, Yoshifumi Fukunishi, & H. Nakamura. (2004). 1P047 Modeling of Loops in Protein Structures. Seibutsu Butsuri. 44(supplement). S41–S41. 3 indexed citations
17.
Wasada, Taro, Hiroyuki Kuroki, Mitsuhide Naruse, et al.. (1995). Insulin resistance is associated with high plasma ouabain-like immunoreactivity concentration in NIDDM. Diabetologia. 38(7). 792–797. 22 indexed citations
18.
Watanabe, Yasuko. (1989). The function of "wa" and "ga" in Japanese discourse. UMI Dissertation Information Service eBooks. 4 indexed citations
19.
Yokohama, Michinari, et al.. (1989). Classification for Transferrin and Esterase Types in Horses. Nihon Chikusan Gakkaiho. 60(2). 115–120. 2 indexed citations
20.
Yokohama, Michinari, et al.. (1985). On the Hemoglobin Types of Japanese Native Horses. Nihon Chikusan Gakkaiho. 56(8). 624–627.

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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