Mai Okada
Impact in
-
- Crystallography and molecular interactions
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
-
- Glycosylation and Glycoproteins Research 3
- Pluripotent Stem Cells Research 3
- Protein Structure and Dynamics 3
- Protein purification and stability 2
- Viral Infectious Diseases and Gene Expression in Insects 2
- Genetics 4
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 2
- Co-authors
- Michio Iwaoka (3 shared papers)Shuji Tomoda (3 shared papers)Kei Motomura (2 shared papers)Takeshi Ikeda (2 shared papers)Akio Kuroda (2 shared papers)Ryuichi Hirota (2 shared papers)Ryuji Kato (7 shared papers)Hiroyuki Honda (5 shared papers)
- Journals
- Theriogenology (2 papers)Scientific Reports (2 papers)Biochemical and Biophysical Research Communications (1 paper)PLoS ONE (1 paper)Journal of Materials Science (1 paper)
- Partner nations
- JapanUnited StatesMalaysia
In The Last Decade
Mai Okada
22 papers receiving 644 citations
Peers
Comparison fields: 5 of 97
- Physical and Theoretical Chemistry 99
- Biophysics 56
- Genetics 68
- Toxicology 20
- Molecular Biology 316
Countries citing papers authored by Mai Okada
This map shows the geographic impact of Mai Okada'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 Mai Okada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mai Okada more than expected).
Fields of papers citing papers by Mai Okada
This network shows the impact of papers produced by Mai Okada. 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 Mai Okada. The network helps show where Mai Okada may publish in the future.
Co-authors
The 25 scholars most cited alongside Mai Okada, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 113 | |
| 2 | 2014 | 103 | |
| 3 | 2001 | 64 | |
| 4 | 2016 | 56 | |
| 5 | 2014 | 46 | |
| 6 | 2017 | 37 | |
| 7 | 2011 | 36 | |
| 8 | 2013 | 35 | |
| 9 | 2002 | 30 | |
| 10 | 2011 | 27 | |
| 11 | 2014 | 22 | |
| 12 | 2018 | 15 | |
| 13 | 2009 | 14 | |
| 14 | 2021 | 12 | |
| 15 | 2023 | 8 | |
| 16 | 2021 | 7 | |
| 17 | 2019 | 6 | |
| 18 | 2020 | 5 | |
| 19 | 2014 | 5 | |
| 20 | Cell therapy for facial anti-aging. | 2008 | 5 |
About Mai Okada
Mai Okada is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Atomic and Molecular Physics, and Optics, having authored 22 papers that have together received 648 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (4 papers), Glycosylation and Glycoproteins Research (3 papers), Pluripotent Stem Cells Research (3 papers), Protein Structure and Dynamics (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Protein purification and stability (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Physical and Theoretical Chemistry (99 citations), Biophysics (56 citations), Genetics (68 citations), Toxicology (20 citations) and Molecular Biology (316 citations). Mai Okada has collaborated with scholars based in Japan, United States and Malaysia. Frequent co-authors include Michio Iwaoka, Shuji Tomoda, Kei Motomura, Takeshi Ikeda, Akio Kuroda, Ryuichi Hirota, Ryuji Kato, Hiroyuki Honda, Takenori Ishida and Kei Kanie. Their work appears in journals such as Theriogenology, Scientific Reports, Biochemical and Biophysical Research Communications, PLoS ONE and Journal of Materials Science.
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.