Yasuo Hamada

436 citations
12 papers · 376 indexed · h-index 10

Impact in

Papers in

Yasuo Hamada

11 papers receiving 364 citations

Peers

Yasuo Hamada
Comparison fields: 5 of 58
  • Reproductive Medicine 192
  • Agronomy and Crop Science 130
  • Public Health, Environmental and Occupational Health 174
  • Animal Science and Zoology 41
  • Genetics 82
Replace D. W. Gregg with:
D. W. Gregg United States
Paul A. Rondell United States
Sharon A. Tonetta United States
JK Findlay Australia
P. Neal United Kingdom
T.A. Yarney Canada
Kevin Nakamura United States
D. V. Illingworth United Kingdom
Masa Tetsuka Japan
Bo Dennefors Sweden
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Citations per field
00.5×3.3×
D. W. Gregg · 1×
Citations per year

Countries citing papers authored by Yasuo Hamada

Since Specialization
Citations

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

Fields of papers citing papers by Yasuo Hamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Yasuo Hamada, 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 Yasuo Hamada Line = papers co-authored together Yasuo Hamada links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201020
2
Effects of nipradilol (K-351) on alpha-adrenoceptor mediated responses in various isolated tissues.
198530
3 198037
4 197918
5
The effects of progesterone and human chorionic gonadotropin on ovulation in the in vitro perfused rabbit ovary.
197920
6 197825
7 19783
8 197870
9 197722
10 197769
11 197562
12 19740

About Yasuo Hamada

Yasuo Hamada is a scholar working on Reproductive Medicine, Animal Science and Zoology, Public Health, Environmental and Occupational Health, Physiology and Pharmacology, having authored 12 papers that have together received 376 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (6 papers), Ovarian function and disorders (5 papers), Rabbits: Nutrition, Reproduction, Health (3 papers), Inflammatory mediators and NSAID effects (3 papers), Reproductive System and Pregnancy (2 papers), Endometriosis Research and Treatment (2 papers), Veterinary Medicine and Surgery (1 paper) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Reproductive Medicine (192 citations), Agronomy and Crop Science (130 citations), Public Health, Environmental and Occupational Health (174 citations), Animal Science and Zoology (41 citations) and Genetics (82 citations). Yasuo Hamada has collaborated with scholars based in United States and Japan. Frequent co-authors include Karen H. Wright, Edward E. Wallach, Richard Bronson, Vernon C. Stevens, Sheldon Schlaff, R. Yoshimura, Yasuhisa Endo, Yoshitoshi Kasuya, Koki Shigenobu and Yukio Wada. Their work appears in journals such as Fertility and Sterility, Biology of Reproduction, American Journal of Obstetrics and Gynecology, The Keio Journal of Medicine and Nature.

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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