Mayuko Noda

1.2k citations
12 papers · 947 · h-index 11

Impact in

    • Cell Adhesion Molecules Research
  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Phagocytosis and Immune Regulation

Papers in

    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 3
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
    • Cell Adhesion Molecules Research 2
    • Allergic Rhinitis and Sensitization 1

Mayuko Noda

12 papers receiving 935 citations

Peers

Mayuko Noda
Comparison fields: 5 of 80
  • Immunology and Allergy 174
  • Immunology 521
  • Cell Biology 180
  • Aging 14
  • Molecular Biology 356
Replace Belén Martı́n-Martı́n with:
Belén Martı́n-Martı́n United Kingdom
Juliana Soosairajah Australia
Xiangyun Amy Chen United States
Yasushi Hamaguchi Japan
Yuko Miyagoe Japan
Patricia Chastagner France
Vadim Sakk Germany
Hidetoshi Ozawa Japan
Electra Coucouvanis United States
Geert van Tetering Netherlands
Mayuko Noda relative to Belén Martı́n-Martı́n United Kingdom Belén Martı́n-Martı́n's profile →
Citations per field
00.5×1.5×2.1×
Belén Martı́n-Martı́n · 1×
Citations per year

Countries citing papers authored by Mayuko Noda

Since Specialization
Citations

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

Fields of papers citing papers by Mayuko Noda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mayuko Noda, 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 Mayuko Noda Line = papers co-authored together Mayuko Noda links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2001370
2 2006174
3 2003103
4 200495
5 200392
6 200627
7 201819
8 200118
9 200117
10 200013
11 201613
12 20066

About Mayuko Noda

Mayuko Noda is a scholar working on Immunology, Immunology and Allergy, Molecular Biology, Cell Biology and Aging, having authored 12 papers that have together received 947 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Cell Adhesion Molecules Research (2 papers), Cellular Mechanics and Interactions (2 papers) and Allergic Rhinitis and Sensitization (1 paper). The work is most often cited by research in Immunology and Allergy (174 citations), Immunology (521 citations), Cell Biology (180 citations), Aging (14 citations) and Molecular Biology (356 citations). Mayuko Noda has collaborated with scholars based in Japan, Spain and France. Frequent co-authors include Ayumi Inayoshi, Yoshinori Fukui, Takehiko Sasazuki, Terukazu Sanui, Masahiro Oike, Takamasa Oono, Osamu Hashimoto, Masaaki Abe, Toshikazu Shirai and Hironori Koga. Their work appears in journals such as Journal of Clinical Investigation, Blood, Biochemical and Biophysical Research Communications, Nature and Proceedings of the National Academy of Sciences.

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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