Ayako Yamaguchi

6.1k total citations · 1 hit paper
80 papers, 4.5k citations indexed

About

Ayako Yamaguchi is a scholar working on Developmental Biology, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Ayako Yamaguchi has authored 80 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Developmental Biology, 18 papers in Molecular Biology and 16 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Ayako Yamaguchi's work include Animal Vocal Communication and Behavior (22 papers), Animal Behavior and Reproduction (15 papers) and Plant Molecular Biology Research (13 papers). Ayako Yamaguchi is often cited by papers focused on Animal Vocal Communication and Behavior (22 papers), Animal Behavior and Reproduction (15 papers) and Plant Molecular Biology Research (13 papers). Ayako Yamaguchi collaborates with scholars based in Japan, United States and Canada. Ayako Yamaguchi's co-authors include Mitsutomo Abe, Takashi Araki, Yasushi Kobayashi, Koji Goto, Doris Wagner, Miin‐Feng Wu, Yasufumi Daimon, Michitaka Notaguchi, Yoko Ikeda and Sumiko Yamamoto and has published in prestigious journals such as Nature, Science and Journal of Neuroscience.

In The Last Decade

Ayako Yamaguchi

76 papers receiving 4.4k citations

Hit Papers

FD, a bZIP Protein Mediating Signals from the Floral Path... 2005 2026 2012 2019 2005 400 800 1.2k
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. FD, a bZIP Protein Mediating Signals from the Floral Pathway Integrator FT at the Shoot Apex
    2005 1.2k citations Mitsutomo Abe, Yasushi Kobayashi et al. Science profile →

Peers

Ayako Yamaguchi
Jenny Drnevich United States
Kevin Chase United States
Duncan H. L. Robertson United Kingdom
Mark Band United States
Christine Schwartz United States
Takao NAMIKAWA Japan
Matthew E. Hudson United States
A. L. Johnson United States
Constance M. Smith United States
Eric S. Lander United States
Jenny Drnevich United States
Ayako Yamaguchi
Citations per year, relative to Ayako Yamaguchi Ayako Yamaguchi (= 1×) peers Jenny Drnevich

Countries citing papers authored by Ayako Yamaguchi

Since Specialization
Citations

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

Fields of papers citing papers by Ayako Yamaguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayako Yamaguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Ayako Yamaguchi. A scholar is included among the top collaborators of Ayako Yamaguchi 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 Ayako Yamaguchi. Ayako Yamaguchi 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.
Miyazaki, Yusuke, Shingo Nakayamada, Shunsuke Fukuyo, et al.. (2025). Effective Second-Line b/tsDMARDs for Patients with Rheumatoid Arthritis Unresponsive to First-Line b/tsDMARDs from the FIRST Registry. Rheumatology and Therapy. 12(2). 353–369. 2 indexed citations
2.
Kobayashi, Hiroki, Yusuke Miyazaki, Shingo Nakayamada, et al.. (2024). Predictors of the effectiveness of first-line CTLA4-Ig in patients with RA: the FIRST registry. Lara D. Veeken. 64(5). 2403–2410. 1 indexed citations
3.
Sakai, H., Yusuke Miyazaki, Shingo Nakayamada, et al.. (2024). Efficacy, safety and optimal intervention of belimumab for proliferative lupus nephritis patients in real-world settings: LOOPS registry. Lara D. Veeken. 64(4). 1930–1939. 1 indexed citations
4.
Barbieri, Francesca, F. Toma, Hollis T. Cline, et al.. (2024). Adeno-associated viral tools to trace neural development and connectivity across amphibians. Developmental Cell. 60(5). 794–812.e6. 5 indexed citations
5.
Miyazaki, Yusuke, Shingo Nakayamada, Koshiro Sonomoto, et al.. (2023). Safety and efficacy of anifrolumab therapy in systemic lupus erythematosus in real-world clinical practice: LOOPS registry. Lara D. Veeken. 63(9). 2345–2354. 8 indexed citations
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Kelley, Darcy B., Charlotte L. Barkan, Andrés Bendesky, et al.. (2020). Generation, Coordination, and Evolution of Neural Circuits for Vocal Communication. Journal of Neuroscience. 40(1). 22–36. 32 indexed citations
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Yamaguchi, Nobutoshi, Cara M. Winter, Miin‐Feng Wu, et al.. (2014). Gibberellin Acts Positively Then Negatively to Control Onset of Flower Formation in Arabidopsis. Science. 344(6184). 638–641. 230 indexed citations
11.
Yamaguchi, Nobutoshi, Miin‐Feng Wu, Cara M. Winter, et al.. (2013). A Molecular Framework for Auxin-Mediated Initiation of Flower Primordia. Developmental Cell. 24(3). 271–282. 260 indexed citations
12.
Yamaguchi, Ayako & Mitsutomo Abe. (2012). Regulation of reproductive development by non-coding RNA in Arabidopsis: to flower or not to flower. Journal of Plant Research. 125(6). 693–704. 118 indexed citations
13.
Yamaguchi, Ayako, Kazuhisa Nozawa, Maki Fujishiro, et al.. (2012). CC motif chemokine ligand 13 is associated with rheumatoid arthritis pathogenesis. Modern Rheumatology. 23(5). 856–863. 21 indexed citations
14.
Yamaguchi, Ayako, et al.. (2012). The Florigen Genes FT and TSF Modulate Lateral Shoot Outgrowth in Arabidopsis thaliana. Plant and Cell Physiology. 54(3). 352–368. 92 indexed citations
15.
Yamaguchi, Ayako, Kazuhisa Nozawa, Maki Fujishiro, et al.. (2012). Estrogen inhibits apoptosis and promotes CC motif chemokine ligand 13 expression on synovial fibroblasts in rheumatoid arthritis. Immunopharmacology and Immunotoxicology. 34(5). 852–857. 13 indexed citations
16.
Winter, Cara M., Ryan S. Austin, Servane Blanvillain‐Baufumé, et al.. (2011). LEAFY Target Genes Reveal Floral Regulatory Logic, cis Motifs, and a Link to Biotic Stimulus Response. Developmental Cell. 20(4). 430–443. 208 indexed citations
17.
Yamaguchi, Ayako, et al.. (2010). Sexually distinct development of vocal pathways in Xenopus laevis. Developmental Neurobiology. 70(13). 862–874. 4 indexed citations
18.
Zornik, Erik & Ayako Yamaguchi. (2008). Sexually differentiated central pattern generators in Xenopus laevis. Trends in Neurosciences. 31(6). 296–302. 7 indexed citations
19.
Yamaguchi, Ayako, et al.. (2007). XenopusVocalizations Are Controlled by a Sexually Differentiated Hindbrain Central Pattern Generator. Journal of Neuroscience. 27(6). 1485–1497. 54 indexed citations
20.
Abe, Mitsutomo, Yasushi Kobayashi, Sumiko Yamamoto, et al.. (2005). FD, a bZIP Protein Mediating Signals from the Floral Pathway Integrator FT at the Shoot Apex. Science. 309(5737). 1052–1056. 1247 indexed citations breakdown →

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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