Ryu Maeda

840 citations
14 papers · 722 · h-index 12

Impact in

Papers in

    • Developmental Biology and Gene Regulation 7
    • Wnt/β-catenin signaling in development and cancer 3
    • Congenital heart defects research 3
    • Hedgehog Signaling Pathway Studies 2
    • Genomics and Chromatin Dynamics 2
    • Neurogenesis and neuroplasticity mechanisms 3

Ryu Maeda

14 papers receiving 714 citations

Peers

Ryu Maeda
Comparison fields: 5 of 76
  • Developmental Neuroscience 58
  • Cell Biology 151
  • Molecular Biology 591
  • Physiology 29
  • Cellular and Molecular Neuroscience 94
Replace C. H. Koster with:
C. H. Koster Netherlands
Nick R. Love United Kingdom
Agnès Degrave France
Toru Matsukawa Japan
Maja Petković United Kingdom
Thomas Schmitt‐John Germany
Raúl Jiménez Heredia Austria
Chantal Ballagny France
Kamil J. Alzayady United States
Andrés Kamaid Uruguay
Ryu Maeda relative to C. H. Koster Netherlands C. H. Koster's profile →
Citations per field
00.5×10×12.5×
C. H. Koster · 1×
Citations per year

Countries citing papers authored by Ryu Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Ryu Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ryu Maeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ryu Maeda Line = papers co-authored together Ryu Maeda links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2005186
2 2003144
3 199769
4 199756
5 200156
6 200246
7 200736
8 200434
9 201428
10 200027
11 199723
12 200014
13 20242
14 20231

About Ryu Maeda

Ryu Maeda is a scholar working on Molecular Biology, Developmental Neuroscience, Cellular and Molecular Neuroscience, Cell Biology and Plant Science, having authored 14 papers that have together received 722 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (7 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Congenital heart defects research (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Hedgehog Signaling Pathway Studies (2 papers), Genomics and Chromatin Dynamics (2 papers), Axon Guidance and Neuronal Signaling (2 papers) and Bone Tissue Engineering Materials (2 papers). The work is most often cited by research in Developmental Neuroscience (58 citations), Cell Biology (151 citations), Molecular Biology (591 citations), Physiology (29 citations) and Cellular and Molecular Neuroscience (94 citations). Ryu Maeda has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Ira Daar, Ichiro Masai, Hitoshi Okamoto, Noriko Tonou‐Fujimori, Yasuhiro Nojima, Haichang Li, Atsuko Komori, Masahiro Yamaguchi, Mitsugu Maéno and Arthur M. Buchberg. Their work appears in journals such as Development, Proceedings of the National Academy of Sciences, Development Growth & Differentiation, Molecular Biology of the Cell and The International Journal of Developmental Biology.

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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