Akika Ejima
Impact in
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- Mesenchymal stem cell research
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- Pluripotent Stem Cells Research
- Protein Hydrolysis and Bioactive Peptides
- CRISPR and Genetic Engineering
- Muscle Physiology and Disorders
Papers in
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- Protein Hydrolysis and Bioactive Peptides 4
- Bone Metabolism and Diseases 2
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- Muscle metabolism and nutrition 2
- Co-authors
- Osam Mazda (8 shared papers)Tsunao Kishida (7 shared papers)Kenji Sato (6 shared papers)Toshiro Yamamoto (4 shared papers)Kenta Yamamoto (4 shared papers)Hiroyoshi Fujiwara (3 shared papers)Narisato Kanamura (1 shared paper)Toshikazu Kubo (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (3 papers)BioMetals (1 paper)Nature Cell Biology (1 paper)Arthritis & Rheumatology (1 paper)Journal of the Science of Food and Agriculture (1 paper)
- Partner nations
- JapanUnited StatesBelgium
In The Last Decade
Akika Ejima
15 papers receiving 389 citations
Peers
Comparison fields: 5 of 76
- Genetics 39
- Molecular Biology 211
- Physiology 72
- Urology 13
- Rehabilitation 14
Countries citing papers authored by Akika Ejima
This map shows the geographic impact of Akika Ejima'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 Akika Ejima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akika Ejima more than expected).
Fields of papers citing papers by Akika Ejima
This network shows the impact of papers produced by Akika Ejima. 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 Akika Ejima. The network helps show where Akika Ejima may publish in the future.
Co-authors
The 25 scholars most cited alongside Akika Ejima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 103 | |
| 2 | 2015 | 52 | |
| 3 | 2015 | 48 | |
| 4 | 2018 | 37 | |
| 5 | 2013 | 27 | |
| 6 | 2019 | 18 | |
| 7 | 2015 | 17 | |
| 8 | 2022 | 17 | |
| 9 | 2018 | 15 | |
| 10 | 2014 | 15 | |
| 11 | 2020 | 15 | |
| 12 | 2018 | 12 | |
| 13 | 2024 | 7 | |
| 14 | 2019 | 7 | |
| 15 | 2016 | 4 | |
| 16 | 2021 | 0 |
About Akika Ejima
Akika Ejima is a scholar working on Molecular Biology, Cell Biology, Physiology, Surgery and Oncology, having authored 16 papers that have together received 394 indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (4 papers), Adipose Tissue and Metabolism (3 papers), Muscle metabolism and nutrition (2 papers), Biochemical effects in animals (2 papers), Bone Metabolism and Diseases (2 papers), Phytochemicals and Antioxidant Activities (1 paper), Biomarkers in Disease Mechanisms (1 paper) and Fermentation and Sensory Analysis (1 paper). The work is most often cited by research in Genetics (39 citations), Molecular Biology (211 citations), Physiology (72 citations), Urology (13 citations) and Rehabilitation (14 citations). Akika Ejima has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Osam Mazda, Tsunao Kishida, Kenji Sato, Toshiro Yamamoto, Kenta Yamamoto, Hiroyoshi Fujiwara, Narisato Kanamura, Toshikazu Kubo, Keisuke Nishioka and Yoshiki Sato. Their work appears in journals such as Biochemical and Biophysical Research Communications, BioMetals, Nature Cell Biology, Arthritis & Rheumatology and Journal of the Science of Food and Agriculture.
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.