Mio Kikuchi
Impact in
- Equine top 2%
- Veterinary Equine Medical Research
- Transplantation top 5%
Papers in
- Genetics 30
- Animal Genetics and Reproduction 15
- Genetic and phenotypic traits in livestock 14
- Genetic Mapping and Diversity in Plants and Animals 10
- Genetic diversity and population structure 5
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- CRISPR and Genetic Engineering 16
- Molecular Biology Techniques and Applications 12
- Viral Infectious Diseases and Gene Expression in Insects 6
- Co-authors
- Teruaki Tozaki (37 shared papers)Hironaga Kakoi (40 shared papers)Shun-ichi NAGATA (36 shared papers)Kei-ichi HIROTA (27 shared papers)Kanichi Kusano (17 shared papers)Taichiro Ishige (27 shared papers)Masaki Takasu (8 shared papers)Yasuhiro Fujimoto (4 shared papers)
- Journals
- Animal Genetics (5 papers)Genes (4 papers)Drug Testing and Analysis (4 papers)Analytical Chemistry (3 papers)Scientific Reports (2 papers)
- Partner nations
- JapanUnited StatesNorway
In The Last Decade
Mio Kikuchi
44 papers receiving 444 citations
Peers
Comparison fields: 5 of 78
- Equine 49
- Transplantation 45
- Genetics 261
- Molecular Biology 245
- Animal Science and Zoology 36
Countries citing papers authored by Mio Kikuchi
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
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.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 40 | |
| 2 | 2020 | 35 | |
| 3 | 2014 | 32 | |
| 4 | 2018 | 28 | |
| 5 | 2021 | 24 | |
| 6 | 2014 | 23 | |
| 7 | 2017 | 23 | |
| 8 | 2014 | 22 | |
| 9 | 2021 | 21 | |
| 10 | 2020 | 20 | |
| 11 | 2019 | 17 | |
| 12 | 2016 | 17 | |
| 13 | 2018 | 14 | |
| 14 | 2020 | 12 | |
| 15 | 2021 | 12 | |
| 16 | 2023 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2018 | 10 | |
| 19 | 2022 | 10 | |
| 20 | 1980 | 9 |
About Mio Kikuchi
Mio Kikuchi is a scholar working on Genetics, Molecular Biology, Equine, Cell Biology and Surgery, having authored 49 papers that have together received 476 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (16 papers), Animal Genetics and Reproduction (15 papers), Genetic and phenotypic traits in livestock (14 papers), Molecular Biology Techniques and Applications (12 papers), Veterinary Equine Medical Research (11 papers), Genetic Mapping and Diversity in Plants and Animals (10 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 (45 citations), Genetics (261 citations), Molecular Biology (245 citations) and Animal Science and Zoology (36 citations). Mio Kikuchi has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Teruaki Tozaki, Hironaga Kakoi, 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, Genes, Drug Testing and Analysis, Analytical Chemistry and Scientific Reports.
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.