Nair Hideko Muto
About
In The Last Decade
Nair Hideko Muto
16 papers receiving 409 citations
Peers
Comparison fields: 5 of 60
- Plant Science 194
- Molecular Biology 135
- Epidemiology 98
- Horticulture 78
- Insect Science 62
Countries citing papers authored by Nair Hideko Muto
This map shows the geographic impact of Nair Hideko Muto'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 Nair Hideko Muto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nair Hideko Muto more than expected).
Fields of papers citing papers by Nair Hideko Muto
This network shows the impact of papers produced by Nair Hideko Muto. 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 Nair Hideko Muto. The network helps show where Nair Hideko Muto may publish in the future.
Co-authorship network of co-authors of Nair Hideko Muto
This figure shows the co-authorship network connecting the top 25 collaborators of Nair Hideko Muto. A scholar is included among the top collaborators of Nair Hideko Muto 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 Nair Hideko Muto. Nair Hideko Muto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | 12 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 12 | |
| 9 | 43 | |
| 10 | 21 | |
| 11 | 70 | |
| 12 | 16 | |
| 13 | 67 | |
| 14 | 65 | |
| 15 | 60 | |
| 16 | 18 |
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.