Masaomi Kato
About
In The Last Decade
Masaomi Kato
14 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 998
- Cancer Research 595
- Plant Science 440
- Aging 299
- Physiology 95
Countries citing papers authored by Masaomi Kato
This map shows the geographic impact of Masaomi Kato'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 Masaomi Kato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaomi Kato more than expected).
Fields of papers citing papers by Masaomi Kato
This network shows the impact of papers produced by Masaomi Kato. 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 Masaomi Kato. The network helps show where Masaomi Kato may publish in the future.
Co-authorship network of co-authors of Masaomi Kato
This figure shows the co-authorship network connecting the top 25 collaborators of Masaomi Kato. A scholar is included among the top collaborators of Masaomi Kato 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 Masaomi Kato. Masaomi Kato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 46 | |
| 3 | 121 | |
| 4 | 73 | |
| 5 | 51 | |
| 6 | 222 | |
| 7 | 121 | |
| 8 | 188 | |
| 9 | 164 | |
| 10 | 80 | |
| 11 | 25 | |
| 12 | 59 | |
| 13 | 247 | |
| 14 | 36 |
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.