Mi Ou
Impact in
- Physiology top 2%
- Reproductive biology and impacts on aquatic species
- Aquatic Science top 5%
- Aquaculture Nutrition and Growth
- Fish Biology and Ecology Studies
Papers in
- Genetics 31
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 23
- Animal Genetics and Reproduction 7
- Genetic and phenotypic traits in livestock 6
- Genetic diversity and population structure 5
- Physiology 16
- Reproductive biology and impacts on aquatic species 16
- Co-authors
- Kunci Chen (36 shared papers)Qing Luo (19 shared papers)Jian Zhao (27 shared papers)Yaping Wang (9 shared papers)Haiyang Liu (20 shared papers)Rong Huang (7 shared papers)Lanjie Liao (5 shared papers)Yongming Li (5 shared papers)
- Journals
- Aquaculture (11 papers)Aquaculture Reports (5 papers)Fish & Shellfish Immunology (4 papers)Scientific Data (2 papers)GigaScience (2 papers)
- Partner nations
- ChinaUnited KingdomDenmark
In The Last Decade
Mi Ou
41 papers receiving 393 citations
Peers
Comparison fields: 5 of 49
- Physiology 138
- Aquatic Science 122
- Genetics 243
- Immunology 78
- Nature and Landscape Conservation 38
Countries citing papers authored by Mi Ou
This map shows the geographic impact of Mi Ou'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 Mi Ou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi Ou more than expected).
Fields of papers citing papers by Mi Ou
This network shows the impact of papers produced by Mi Ou. 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 Mi Ou. The network helps show where Mi Ou may publish in the future.
Co-authors
The 25 scholars most cited alongside Mi Ou, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 55 | |
| 2 | 2021 | 32 | |
| 3 | 2019 | 28 | |
| 4 | 2018 | 27 | |
| 5 | 2020 | 25 | |
| 6 | 2021 | 22 | |
| 7 | 2019 | 20 | |
| 8 | 2019 | 19 | |
| 9 | 2020 | 16 | |
| 10 | 2022 | 15 | |
| 11 | 2017 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2017 | 10 | |
| 14 | 2021 | 10 | |
| 15 | 2021 | 10 | |
| 16 | 2023 | 8 | |
| 17 | 2024 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2024 | 6 | |
| 20 | 2023 | 5 |
About Mi Ou
Mi Ou is a scholar working on Genetics, Physiology, Aquatic Science, Molecular Biology and Immunology, having authored 45 papers that have together received 398 indexed citations. Recurring topics across this work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (23 papers), Reproductive biology and impacts on aquatic species (16 papers), Aquaculture Nutrition and Growth (11 papers), Aquaculture disease management and microbiota (8 papers), Animal Genetics and Reproduction (7 papers), Genetic and phenotypic traits in livestock (6 papers), Genetic diversity and population structure (5 papers) and Fish Ecology and Management Studies (4 papers). The work is most often cited by research in Physiology (138 citations), Aquatic Science (122 citations), Genetics (243 citations), Immunology (78 citations) and Nature and Landscape Conservation (38 citations). Mi Ou has collaborated with scholars based in China, United Kingdom and Denmark. Frequent co-authors include Kunci Chen, Qing Luo, Jian Zhao, Yaping Wang, Haiyang Liu, Rong Huang, Lanjie Liao, Yongming Li, Cheng Yang and Haiyang Liu. Their work appears in journals such as Aquaculture, Aquaculture Reports, Fish & Shellfish Immunology, Scientific Data and GigaScience.
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.