Yukiko Miyamoto

4.8k citations
84 papers · 2.9k indexed · 1 hit paper · h-index 28

Yukiko Miyamoto

76 papers receiving 2.9k citations

Hit Papers

Development of 16S rRNA-Gene-Targeted Group-Specific Prim...5422002202620102018100200300400500

Peers

Yukiko Miyamoto
Comparison fields: 5 of 131
  • Parasitology 353
  • Endocrinology 225
  • Microbiology 230
  • Infectious Diseases 660
  • Food Science 376
Replace Glynis L. Kolling with:
Glynis L. Kolling United States
Mary Ann De Groote United States
Kek Heng Chua Malaysia
Matthew T. Sorbara Canada
Carol L. Wells United States
V. I. Mathan India
Christopher A. Elkins United States
Fabrizio Pantanella Italy
Masao Mitsuyama Japan
Abbas Yadegar Iran
Yukiko Miyamoto relative to Glynis L. Kolling United States Glynis L. Kolling's profile →
Citations per field
00.5×1.5×2.0×
Glynis L. Kolling · 1×
Citations per year

Countries citing papers authored by Yukiko Miyamoto

Since Specialization
Citations

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

Fields of papers citing papers by Yukiko Miyamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20240
4 20240
5 202222
6 20225
7 2021131
8 20219
9 202017
10 201565
11 201357
12 2013120
13 20101
14
THE INFLUENCE OF MEDICAL ECONOMY FROM THE ASPECT OF MEDICAL DIRECT COSTS BY A DIFFERENCE OF THE NUMBER OF THE POLLEN SCATTERING ON AN ALLERGEN-SPECIFIC IMMUNOTHERAPY FOR JAPANESE CEDAR POLLINOSIS
20071
15 20070
16 200640
17 200610
18 200611
19 2005195
20 20000

About Yukiko Miyamoto

Yukiko Miyamoto is a scholar working on Parasitology, Endocrinology and Microbiology, having authored 84 papers that have together received 2.9k indexed citations. Recurring topics across this work include Parasitic Infections and Diagnostics (15 papers), Gut microbiota and health (12 papers), Clostridium difficile and Clostridium perfringens research (11 papers), Reproductive tract infections research (8 papers), Probiotics and Fermented Foods (7 papers), Allergic Rhinitis and Sensitization (6 papers), Amoebic Infections and Treatments (6 papers) and Vitamin D Research Studies (5 papers). The work is most often cited by research in Parasitology (353 citations), Endocrinology (225 citations) and Microbiology (230 citations). Yukiko Miyamoto has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Lars Eckmann, Martin F. Kagnoff, Koichi Watanabe, Ryuichiro Tanaka, Toshihiko Takada, Takahiro Matsuki, Hiroshi Oyaizu, Junji Fujimoto, Kazumasa Matsumoto and Mitsutoshi Iimura. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences 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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