Yumi Abiko
About
In The Last Decade
Yumi Abiko
35 papers receiving 891 citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 521
- Biochemistry 276
- Health, Toxicology and Mutagenesis 188
- Nutrition and Dietetics 82
- Organic Chemistry 80
Countries citing papers authored by Yumi Abiko
This map shows the geographic impact of Yumi Abiko'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 Yumi Abiko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yumi Abiko more than expected).
Fields of papers citing papers by Yumi Abiko
This network shows the impact of papers produced by Yumi Abiko. 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 Yumi Abiko. The network helps show where Yumi Abiko may publish in the future.
Co-authorship network of co-authors of Yumi Abiko
This figure shows the co-authorship network connecting the top 25 collaborators of Yumi Abiko. A scholar is included among the top collaborators of Yumi Abiko 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 Yumi Abiko. Yumi Abiko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 8 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 153 | |
| 13 | 137 | |
| 14 | 4 | |
| 15 | 12 | |
| 16 | 29 | |
| 17 | 51 | |
| 18 | 23 | |
| 19 | 26 | |
| 20 | 84 |
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.