Kengo Kuroda
About
In The Last Decade
Kengo Kuroda
21 papers receiving 502 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 319
- Microbiology 225
- Immunology 105
- Genetics 66
- Oncology 60
Countries citing papers authored by Kengo Kuroda
This map shows the geographic impact of Kengo Kuroda'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 Kengo Kuroda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kengo Kuroda more than expected).
Fields of papers citing papers by Kengo Kuroda
This network shows the impact of papers produced by Kengo Kuroda. 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 Kengo Kuroda. The network helps show where Kengo Kuroda may publish in the future.
Co-authorship network of co-authors of Kengo Kuroda
This figure shows the co-authorship network connecting the top 25 collaborators of Kengo Kuroda. A scholar is included among the top collaborators of Kengo Kuroda 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 Kengo Kuroda. Kengo Kuroda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 4 | |
| 3 | 16 | |
| 4 | 39 | |
| 5 | 24 | |
| 6 | 22 | |
| 7 | 45 | |
| 8 | 129 | |
| 9 | 14 | |
| 10 | 11 | |
| 11 | 6 | |
| 12 | 38 | |
| 13 | 10 | |
| 14 | 23 | |
| 15 | 28 | |
| 16 | 18 | |
| 17 | 7 | |
| 18 | 15 | |
| 19 | 3 | |
| 20 | 34 |
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.