Takefumi Kato
About
In The Last Decade
Takefumi Kato
11 papers receiving 141 citations
Peers
Comparison fields: 5 of 48
- Rheumatology 86
- Immunology 32
- Hematology 27
- Genetics 19
- Oncology 17
Countries citing papers authored by Takefumi Kato
This map shows the geographic impact of Takefumi 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 Takefumi Kato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takefumi Kato more than expected).
Fields of papers citing papers by Takefumi Kato
This network shows the impact of papers produced by Takefumi 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 Takefumi Kato. The network helps show where Takefumi Kato may publish in the future.
Co-authorship network of co-authors of Takefumi Kato
This figure shows the co-authorship network connecting the top 25 collaborators of Takefumi Kato. A scholar is included among the top collaborators of Takefumi 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 Takefumi Kato. Takefumi 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 | 1 | |
| 2 | 7 | |
| 3 | 20 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 10 | |
| 7 | 3 | |
| 8 | 13 | |
| 9 | 13 | |
| 10 | 18 | |
| 11 | 47 |
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.