Mika Oe
Impact in
- Animal Science and Zoology top 1%
- Meat and Animal Product Quality
- Animal Nutrition and Physiology
- Cell Biology top 10%
- Muscle metabolism and nutrition
Papers in
-
- Muscle Physiology and Disorders 12
- Circular RNAs in diseases 3
-
- Meat and Animal Product Quality 12
- Co-authors
- Susumu Muroya (37 shared papers)Ikuyo Nakajima (28 shared papers)Koichi Ojima (28 shared papers)Koichi CHIKUNI (26 shared papers)Masahiro Shibata (13 shared papers)Mayumi Ohnishi‐Kameyama (6 shared papers)Takanori Nishimura (7 shared papers)Keisuke Sasaki (6 shared papers)
In The Last Decade
Mika Oe
44 papers receiving 795 citations
Peers
Comparison fields: 5 of 76
- Animal Science and Zoology 374
- Cell Biology 126
- Cancer Research 94
- Molecular Biology 401
- Physiology 123
Countries citing papers authored by Mika Oe
This map shows the geographic impact of Mika Oe'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 Mika Oe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mika Oe more than expected).
Fields of papers citing papers by Mika Oe
This network shows the impact of papers produced by Mika Oe. 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 Mika Oe. The network helps show where Mika Oe may publish in the future.
Co-authors
The 25 scholars most cited alongside Mika Oe, 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 | 2014 | 55 | |
| 2 | 2009 | 51 | |
| 3 | 2012 | 47 | |
| 4 | 2019 | 43 | |
| 5 | 2016 | 39 | |
| 6 | 2007 | 36 | |
| 7 | 2013 | 31 | |
| 8 | 2006 | 29 | |
| 9 | 2005 | 28 | |
| 10 | 2010 | 27 | |
| 11 | 2016 | 27 | |
| 12 | 2006 | 26 | |
| 13 | 2014 | 24 | |
| 14 | 2010 | 23 | |
| 15 | 2010 | 22 | |
| 16 | 2009 | 20 | |
| 17 | 2017 | 20 | |
| 18 | 2021 | 19 | |
| 19 | 2016 | 19 | |
| 20 | 2011 | 18 |
About Mika Oe
Mika Oe is a scholar working on Molecular Biology, Animal Science and Zoology, Cell Biology, Physiology and Genetics, having authored 45 papers that have together received 807 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (12 papers), Muscle Physiology and Disorders (12 papers), Adipose Tissue and Metabolism (8 papers), Muscle metabolism and nutrition (6 papers), Cardiomyopathy and Myosin Studies (5 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Circular RNAs in diseases (3 papers) and Genetic and phenotypic traits in livestock (3 papers). The work is most often cited by research in Animal Science and Zoology (374 citations), Cell Biology (126 citations), Cancer Research (94 citations), Molecular Biology (401 citations) and Physiology (123 citations). Mika Oe has collaborated with scholars based in Japan, Denmark and Australia. Frequent co-authors include Susumu Muroya, Ikuyo Nakajima, Koichi Ojima, Koichi CHIKUNI, Masahiro Shibata, Mayumi Ohnishi‐Kameyama, Takanori Nishimura, Keisuke Sasaki, Akira Watanabe and Masaaki Taniguchi. Their work appears in journals such as Animal Science Journal, Meat Science, Asian-Australasian Journal of Animal Sciences, Journal of Animal Science and FEBS Open Bio.
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.