Mai Okada
About
In The Last Decade
Mai Okada
7 papers receiving 304 citations
Peers
Comparison fields: 5 of 64
- Biochemistry 146
- Nutrition and Dietetics 145
- Plant Science 115
- Food Science 54
- Molecular Biology 49
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-authorship network of co-authors of Mai Okada
This figure shows the co-authorship network connecting the top 25 collaborators of Mai Okada. A scholar is included among the top collaborators of Mai Okada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mai Okada. Mai Okada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 17 | |
| 3 | 15 | |
| 4 | Simultaneous Determination of 11 Phthalates and Di(2-ethylhexyl) Adipate in Foods by GC/MS (SIM) | 12 |
| 5 | 112 | |
| 6 | 165 | |
| 7 | 4 |
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.