Haruo Katayose

1.2k citations
30 papers · 917 · h-index 14

Impact in

Papers in

Haruo Katayose

28 papers receiving 865 citations

Peers

Haruo Katayose
Comparison fields: 5 of 61
  • Reproductive Medicine 634
  • Public Health, Environmental and Occupational Health 634
  • Genetics 193
  • Pediatrics, Perinatology and Child Health 97
  • Physiology 23
Replace K. Yanagida with:
K. Yanagida Japan
G.A. Palma Germany
Jim Meriano Canada
Alexander Krivokharchenko Germany
William Garside United States
Szabolcs Tóth Hungary
Yuki-hisa Hirao United States
T. Ishibashi Japan
Alexander Lagunov Canada
K. Konishi Japan
Haruo Katayose relative to K. Yanagida Japan K. Yanagida's profile →
Citations per field
00.5×3.0×
K. Yanagida · 1×
Citations per year

Countries citing papers authored by Haruo Katayose

Since Specialization
Citations

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

Fields of papers citing papers by Haruo Katayose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999131
2 1992130
3 1996107
4 200669
5 200165
6 199556
7 199853
8 199252
9 200052
10 199950
11 200835
12 200322
13 199420
14 199417
15 200013
16 20047
17 20017
18 20046
19 19975
20 19944

About Haruo Katayose

Haruo Katayose is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Genetics, Pediatrics, Perinatology and Child Health and Molecular Biology, having authored 30 papers that have together received 917 indexed citations. Recurring topics across this work include Sperm and Testicular Function (24 papers), Reproductive Biology and Fertility (20 papers), Ovarian function and disorders (9 papers), Animal Genetics and Reproduction (4 papers), Assisted Reproductive Technology and Twin Pregnancy (4 papers), Reproductive Health and Technologies (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Reproductive Medicine (634 citations), Public Health, Environmental and Occupational Health (634 citations), Genetics (193 citations), Pediatrics, Perinatology and Child Health (97 citations) and Physiology (23 citations). Haruo Katayose has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Akira Sato, Kaoru Yanagida, Hiroyuki Yazawa, K. Yanagida, Ryuzo Yanagimachi, Yasuyuki Kimura, Nechama S. Kosower, Kazuhiko Hoshi, Akira Sato and Junichiro Matsuda. Their work appears in journals such as Human Reproduction, Fertility and Sterility, Journal of Assisted Reproduction and Genetics, Reproductive Medicine and Biology and Theriogenology.

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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