Masako Miura

65 papers receiving 8.2k citations

Masako Miura's Hit Papers

Investigation of multipotent postnatal stem cells from human periodontal ligament 2004 · 2.8k citations
2.8k0+7+15Years since publication50010001.5k2.0k2.5k

Peers

Masako Miura
Comparison fields: 5 of 154
  • Urology 2.7k
  • Genetics 4.4k
  • Oral Surgery 778
  • Rheumatology 1.0k
  • Emergency Medical Services 446
Replace Takayoshi Yamaza with:
Takayoshi Yamaza Japan
Jaime S. Brahim United States
Songtao Shi China
Songtao Shi United States
Misako Nakashima Japan
Kentaro Akiyama Japan
Jian Q. Feng United States
Hideharu Hibi Japan
Ineke Slaper‐Cortenbach Netherlands
Ingo Mueller Germany
Masako Miura relative to Takayoshi Yamaza Japan Takayoshi Yamaza's profile →
Citations per field
00.5×1.5×
Takayoshi Yamaza · 1×
Citations per year

Countries citing papers authored by Masako Miura

Since Specialization
Citations

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

Fields of papers citing papers by Masako Miura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Investigation of multipotent postnatal stem cells from human periodontal ligament
Hit paper breakdown →
20042784
2
SHED: Stem cells from human exfoliated deciduous teeth
Hit paper breakdown →
20032203
3 2005457
4 2005410
5 2003320
6 2003302
7 2004212
8 2004198
9 2005181
10 200992
11 199283
12 199381
13 200077
14 201272
15 200268
16 201267
17 200265
18 200663
19 200560
20 201559

About Masako Miura

Masako Miura is a scholar working on Molecular Biology, Surgery, Genetics, Oncology and Endocrinology, Diabetes and Metabolism, having authored 66 papers that have together received 8.5k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (12 papers), Connective tissue disorders research (7 papers), Hormonal Regulation and Hypertension (6 papers), Adrenal and Paraganglionic Tumors (6 papers), Periodontal Regeneration and Treatments (4 papers), Peptidase Inhibition and Analysis (4 papers), Thyroid Disorders and Treatments (4 papers) and Bone health and treatments (4 papers). The work is most often cited by research in Urology (2.7k citations), Genetics (4.4k citations), Oral Surgery (778 citations), Rheumatology (1.0k citations) and Emergency Medical Services (446 citations). Masako Miura has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Stan Gronthos, Pamela Gehron Robey, Songtao Shi, Byoung‐Moo Seo, Larry W. Fisher, P. Mark Bartold, Jaime S. Brahim, Bai Lu, Mingrui Zhao and Marian F. Young. Their work appears in journals such as Endocrinology, Journal of Dental Research, Acta Oto-Laryngologica, Stem Cells and Journal of Clinical Investigation.

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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