Akio Miyamoto

10.0k citations
317 papers · 8.4k · h-index 51

Impact in

Papers in

Akio Miyamoto

313 papers receiving 8.1k citations

Peers

Akio Miyamoto
Comparison fields: 5 of 145
  • Agronomy and Crop Science 5.2k
  • Equine 406
  • Reproductive Medicine 1.6k
  • Immunology 2.1k
  • Public Health, Environmental and Occupational Health 2.4k
Replace Alan James Conley with:
Alan James Conley United States
William Hansel United States
Ann Van Soom Belgium
R. Brian Heap Slovakia
Heriberto Rodríguez‐Martínez Sweden
Ben Colenbrander Netherlands
R. H. F. Hunter United Kingdom
N. L. First United States
Jordi Roca Spain
Yoshihisa Hasegawa Japan
Akio Miyamoto relative to Alan James Conley United States Alan James Conley's profile →
Citations per field
00.5×2×3.1×
Alan James Conley · 1×
Citations per year

Countries citing papers authored by Akio Miyamoto

Since Specialization
Citations

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

Fields of papers citing papers by Akio Miyamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 317 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002206
2 1992188
3 2003186
4 2000165
5 1998140
6 2004138
7 2014132
8 2005121
9 199198
10 199795
11 199894
12 200790
13 199285
14 201385
15 200881
16 200781
17 199880
18 200879
19 200679
20 201178

About Akio Miyamoto

Akio Miyamoto is a scholar working on Agronomy and Crop Science, Immunology, Reproductive Medicine, Public Health, Environmental and Occupational Health and Small Animals, having authored 317 papers that have together received 8.4k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (219 papers), Reproductive Biology and Fertility (87 papers), Reproductive System and Pregnancy (82 papers), Genetic and phenotypic traits in livestock (41 papers), Sperm and Testicular Function (32 papers), Ruminant Nutrition and Digestive Physiology (18 papers), Animal health and immunology (17 papers) and Angiogenesis and VEGF in Cancer (17 papers). The work is most often cited by research in Agronomy and Crop Science (5.2k citations), Equine (406 citations), Reproductive Medicine (1.6k citations), Immunology (2.1k citations) and Public Health, Environmental and Occupational Health (2.4k citations). Akio Miyamoto has collaborated with scholars based in Japan, Germany and Egypt. Frequent co-authors include Takashi Shimizu, Motozumi Matsui, Koumei Shirasuna, Masayuki Ohtani, Dieter Schams, Tomás J. Acosta, Missaka P.B. Wijayagunawardane, T.J. Acosta, Dieter Schams and Chiho KAWASHIMA. Their work appears in journals such as Journal of Reproduction and Development, Reproduction, Biology of Reproduction, Theriogenology and Animal Reproduction Science.

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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