Hirofumi Sawai
About
In The Last Decade
Hirofumi Sawai
39 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.5k
- Cell Biology 309
- Immunology 303
- Physiology 207
- Oncology 171
Countries citing papers authored by Hirofumi Sawai
This map shows the geographic impact of Hirofumi Sawai'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 Hirofumi Sawai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hirofumi Sawai more than expected).
Fields of papers citing papers by Hirofumi Sawai
This network shows the impact of papers produced by Hirofumi Sawai. 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 Hirofumi Sawai. The network helps show where Hirofumi Sawai may publish in the future.
Co-authorship network of co-authors of Hirofumi Sawai
This figure shows the co-authorship network connecting the top 25 collaborators of Hirofumi Sawai. A scholar is included among the top collaborators of Hirofumi Sawai 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 Hirofumi Sawai. Hirofumi Sawai 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 | 18 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 16 | |
| 8 | 137 | |
| 9 | 6 | |
| 10 | 6 | |
| 11 | 11 | |
| 12 | 28 | |
| 13 | 4 | |
| 14 | 137 | |
| 15 | 79 | |
| 16 | 89 | |
| 17 | 99 | |
| 18 | 166 | |
| 19 | 4 | |
| 20 | Inhibition of erythroid differentiation by stem cell factor in K562 cells expressing the c-kit gene. | 16 |
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.