Naoko Morimura

1.3k citations
26 papers · 1.1k · h-index 14

Impact in

Papers in

    • TGF-β signaling in diseases 5
    • Bone Metabolism and Diseases 5
    • S100 Proteins and Annexins 3
    • Wnt/β-catenin signaling in development and cancer 2
    • Genetics and Neurodevelopmental Disorders 4
    • Connective tissue disorders research 2

Naoko Morimura

25 papers receiving 1.0k citations

Peers

Naoko Morimura
Comparison fields: 5 of 101
  • Immunology and Allergy 85
  • Rheumatology 205
  • Cell Biology 201
  • Urology 65
  • Cellular and Molecular Neuroscience 169
Replace Tadayoshi Hayata with:
Tadayoshi Hayata Japan
Gail Workman United States
Céline Bouquet France
Elaine Tan United States
Róza Zákány Hungary
Ronald D. Graff United States
J. Rohwedel Germany
Anush Oganesian United States
Zubeyde Bayram-Weston United Kingdom
Juan Pablo Henríquez Chile
Naoko Morimura relative to Tadayoshi Hayata Japan Tadayoshi Hayata's profile →
Citations per field
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Tadayoshi Hayata · 1×
Citations per year

Countries citing papers authored by Naoko Morimura

Since Specialization
Citations

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

Fields of papers citing papers by Naoko Morimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003238
2 2002176
3 200397
4 200588
5 201483
6 200662
7 201760
8 200156
9 201142
10 202123
11 201122
12 200720
13 200615
14 201514
15 201712
16 201210
17 20226
18 20186
19 20225
20 20225

About Naoko Morimura

Naoko Morimura is a scholar working on Molecular Biology, Genetics, Rheumatology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (5 papers), Bone Metabolism and Diseases (5 papers), Genetics and Neurodevelopmental Disorders (4 papers), S100 Proteins and Annexins (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Connective tissue disorders research (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Immunology and Allergy (85 citations), Rheumatology (205 citations), Cell Biology (201 citations), Urology (65 citations) and Cellular and Molecular Neuroscience (169 citations). Naoko Morimura has collaborated with scholars based in Japan, South Korea and Ireland. Frequent co-authors include Ryutaro Kamijo, Kenichi Tezuka, Nobumichi Hozumi, Naoko Watanabe, Seiji Miyatani, Masafumi Yasuda, Kazuki Kuroda, Takenobu Katagiri, Makoto Kobayashi and Takatora Takada. Their work appears in journals such as Biochemical and Biophysical Research Communications, FEBS Open Bio, Nature Communications, Journal of Biological Chemistry and iScience.

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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