Mio Kikuchi

647 citations
50 papers · 497 · h-index 14

Impact in

Papers in

    • Genetic and phenotypic traits in livestock 14
    • Animal Genetics and Reproduction 13
    • Genetic Mapping and Diversity in Plants and Animals 9
    • Genetic diversity and population structure 5
    • CRISPR and Genetic Engineering 15
    • Molecular Biology Techniques and Applications 12
    • Viral Infectious Diseases and Gene Expression in Insects 6

Mio Kikuchi

45 papers receiving 464 citations

Peers

Mio Kikuchi
Comparison fields: 5 of 73
  • Equine 49
  • Transplantation 40
  • Genetics 260
  • Molecular Biology 253
  • Animal Science and Zoology 36
Replace Yi Vee Chew with:
Yi Vee Chew Australia
Bin Ye China
Natsuko Nagamine Japan
Louise Bundgaard Denmark
Agnieszka Kowalska Poland
Carol J. Belfiore United States
A. J. Beard United Kingdom
Amanda Davis United States
Balázs Bender Hungary
Marianne Moser Austria
Mio Kikuchi relative to Yi Vee Chew Australia Yi Vee Chew's profile →
Citations per field
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Yi Vee Chew · 1×
Citations per year

Countries citing papers authored by Mio Kikuchi

Since Specialization
Citations

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

Fields of papers citing papers by Mio Kikuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201941
2 202035
3 201433
4 201828
5 202126
6 202126
7 201423
8 201423
9 201723
10 202021
11 201918
12 201617
13 201814
14 202113
15 202013
16 202312
17 202111
18 202210
19 201810
20 19809

About Mio Kikuchi

Mio Kikuchi is a scholar working on Genetics, Molecular Biology, Equine, Cell Biology and Epidemiology, having authored 50 papers that have together received 497 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (15 papers), Genetic and phenotypic traits in livestock (14 papers), Animal Genetics and Reproduction (13 papers), Molecular Biology Techniques and Applications (12 papers), Veterinary Equine Medical Research (11 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers) and Genetic diversity and population structure (5 papers). The work is most often cited by research in Equine (49 citations), Transplantation (40 citations), Genetics (260 citations), Molecular Biology (253 citations) and Animal Science and Zoology (36 citations). Mio Kikuchi has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Hironaga Kakoi, Teruaki Tozaki, Shun-ichi NAGATA, Kei-ichi HIROTA, Kanichi Kusano, Taichiro Ishige, Masaki Takasu, Yasuhiro Fujimoto, Miwa Uesugi and Satohiro Masuda. Their work appears in journals such as Animal Genetics, Drug Testing and Analysis, Genes, Analytical Chemistry and Animal Science Journal.

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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