Keigo Tsuruno
About
In The Last Decade
Keigo Tsuruno
11 papers receiving 518 citations
Peers
Comparison fields: 5 of 70
- Molecular Biology 448
- Biomedical Engineering 145
- Renewable Energy, Sustainability and the Environment 89
- Genetics 58
- Food Science 43
Countries citing papers authored by Keigo Tsuruno
This map shows the geographic impact of Keigo Tsuruno'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 Keigo Tsuruno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keigo Tsuruno more than expected).
Fields of papers citing papers by Keigo Tsuruno
This network shows the impact of papers produced by Keigo Tsuruno. 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 Keigo Tsuruno. The network helps show where Keigo Tsuruno may publish in the future.
Co-authorship network of co-authors of Keigo Tsuruno
This figure shows the co-authorship network connecting the top 25 collaborators of Keigo Tsuruno. A scholar is included among the top collaborators of Keigo Tsuruno 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 Keigo Tsuruno. Keigo Tsuruno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 53 | |
| 3 | 2 | |
| 4 | 73 | |
| 5 | 35 | |
| 6 | 25 | |
| 7 | 160 | |
| 8 | 115 | |
| 9 | 29 | |
| 10 | 13 | |
| 11 | 17 |
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.