Naoko Morimura

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

Impact in

Papers in

    • Bone Metabolism and Diseases 5
    • TGF-β signaling in diseases 5
    • S100 Proteins and Annexins 3
    • Genetics and Neurodevelopmental Disorders 4

Naoko Morimura

26 papers receiving 1.1k citations

Peers

Naoko Morimura
Comparison fields: 5 of 99
  • Rheumatology 189
  • Immunology and Allergy 75
  • Cell Biology 188
  • Urology 55
  • Cellular and Molecular Neuroscience 168
Replace Tadayoshi Hayata with:
Tadayoshi Hayata Japan
Keigo Yoshizaki Japan
Elaine Tan United States
Róza Zákány Hungary
J. Rohwedel Germany
Gail Workman United States
Ronald D. Graff United States
Juan Pablo Henríquez Chile
Zubeyde Bayram-Weston United Kingdom
Heeseog Kang United States
Naoko Morimura relative to Tadayoshi Hayata Japan Tadayoshi Hayata's profile →
Citations per field
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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 2003237
2 2002180
3 200397
4 200589
5 201485
6 200662
7 201760
8 200156
9 201142
10 202123
11 201122
12 200720
13 200615
14 201514
15 201712
16 201211
17 20186
18 20226
19 20226
20 20165

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 Bone Metabolism and Diseases (5 papers), TGF-β signaling in diseases (5 papers), Genetics and Neurodevelopmental Disorders (4 papers), Neuroscience and Neuropharmacology Research (3 papers), S100 Proteins and Annexins (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers) and Bone and Dental Protein Studies (2 papers). The work is most often cited by research in Rheumatology (189 citations), Immunology and Allergy (75 citations), Cell Biology (188 citations), Urology (55 citations) and Cellular and Molecular Neuroscience (168 citations). Naoko Morimura has collaborated with scholars based in Japan, Ireland and South Korea. Frequent co-authors include Ryutaro Kamijo, Kenichi Tezuka, Naoko Watanabe, Seiji Miyatani, Masafumi Yasuda, Nobumichi Hozumi, Kazuki Kuroda, Takenobu Katagiri, Jun Aruga 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 Gene.

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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