S. Kiuchi

23 papers receiving 345 citations

Peers

S. Kiuchi
Comparison fields: 5 of 61
  • Reproductive Medicine 53
  • Sensory Systems 26
  • Physiology 24
  • Physiology 96
  • Nutrition and Dietetics 46
Replace Raffaella Cinquetti with:
Raffaella Cinquetti Italy
Laura L. Weakland United States
Yanli Nie China
Parvaiz Farshori United States
Masahiko Ito Japan
Liu Z China
Mireille Marsolais Canada
Piyali Saha India
Masahiko Hattori Japan
S. Kiuchi relative to Raffaella Cinquetti Italy Raffaella Cinquetti's profile →
Citations per field
00.5×2×2.6×
Raffaella Cinquetti · 1×
Citations per year

Countries citing papers authored by S. Kiuchi

Since Specialization
Citations

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

Fields of papers citing papers by S. Kiuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999184
2 200646
3 200118
4 199713
5 200112
6 200312
7 200311
8 20029
9 20018
10 20187
11 20065
12 20045
13 20214
14 20194
15 20053
16 20033
17 20023
18 20053
19 20022
20
Chemical composition of eggs from Deania hystricosa
20172

About S. Kiuchi

S. Kiuchi is a scholar working on Genetics, Molecular Biology, Plant Science, Animal Science and Zoology and Pediatrics, Perinatology and Child Health, having authored 24 papers that have together received 358 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (12 papers), Genetic and phenotypic traits in livestock (7 papers), Animal Genetics and Reproduction (6 papers), Chromosomal and Genetic Variations (4 papers), Metabolism and Genetic Disorders (2 papers), Sperm and Testicular Function (2 papers), Neonatal Health and Biochemistry (2 papers) and T-cell and Retrovirus Studies (2 papers). The work is most often cited by research in Reproductive Medicine (53 citations), Sensory Systems (26 citations), Physiology (24 citations), Physiology (96 citations) and Nutrition and Dietetics (46 citations). S. Kiuchi has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Naomichi Okamura, Jean‐Louis Dacheux, Françoise Dacheux, Yoshiki Sugita, Yin‐Zhe Jin, Michiko Tamba, Tadashi Baba, Hirofumi Yasue, Hirohide Uenishi and Hideki Hiraiwa. Their work appears in journals such as Cytogenetic and Genome Research, Mammalian Genome, Animal Genetics, Annals of Clinical Biochemistry International Journal of Laboratory Medicine and Biochemical and Biophysical Research Communications.

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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