Kaoru Miyamoto

7.1k citations
172 papers · 6.0k indexed · h-index 44

Impact in

Papers in

Kaoru Miyamoto

171 papers receiving 5.9k citations

Peers

Kaoru Miyamoto
Comparison fields: 5 of 125
  • Reproductive Medicine 1.5k
  • Physiology 301
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Genetics 1.4k
  • Agronomy and Crop Science 512
Replace Deborah L. Segaloff with:
Deborah L. Segaloff United States
Anthony J. Mason United States
Jennie P. Mather United States
John H. Nilson United States
Takashi Minegishi Japan
John J. Peluso United States
Florian Guillou France
T. Rajendra Kumar United States
Fred Sinowatz Germany
David de Kretser Australia
Kaoru Miyamoto relative to Deborah L. Segaloff United States Deborah L. Segaloff's profile →
Citations per field
00.5×1.5×1.9×
Deborah L. Segaloff · 1×
Citations per year

Countries citing papers authored by Kaoru Miyamoto

Since Specialization
Citations

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

Fields of papers citing papers by Kaoru Miyamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201719
2 201675
3 201313
4 201331
5 201017
6 200658
7 20063
8 200357
9 200317
10 200317
11
EARLY GROWTH RESPONSE GENE-1 (EGR-1) REGULATES THE EXPRESSION OF THE RAT LUTEINIZING HORMONE RECEPTOR GENE
20012
12 199910
13 199541
14 199511
15 19954
16 199310
17 19919
18 199065
19 198922
20 1988113

About Kaoru Miyamoto

Kaoru Miyamoto is a scholar working on Reproductive Medicine, Filtration and Separation, Endocrinology, Diabetes and Metabolism, Genetics and Agronomy and Crop Science, having authored 172 papers that have together received 6.0k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (32 papers), Estrogen and related hormone effects (30 papers), Growth Hormone and Insulin-like Growth Factors (22 papers), TGF-β signaling in diseases (21 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (16 papers), Ovarian function and disorders (13 papers), Reproductive Physiology in Livestock (13 papers) and Hypothalamic control of reproductive hormones (12 papers). The work is most often cited by research in Reproductive Medicine (1.5k citations), Physiology (301 citations), Endocrinology, Diabetes and Metabolism (1.0k citations), Genetics (1.4k citations) and Agronomy and Crop Science (512 citations). Kaoru Miyamoto has collaborated with scholars based in Japan, United States and Bangladesh. Frequent co-authors include Yoshihisa Hasegawa, Tetsuya Mizutani, Masao Igarashi, Takashi Minegishi, Takashi Yazawa, Kenji Kangawa, Hisayuki Matsuo, Yoshito Ibuki, Naoto Minamino and Kazuto Nakamura. Their work appears in journals such as Endocrinology, Biochemical and Biophysical Research Communications, Molecular and Cellular Endocrinology, Thermochimica Acta and Life Sciences.

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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