Tomoharu Yasuda
About
In The Last Decade
Tomoharu Yasuda
48 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 1.6k
- Cancer Research 1.1k
- Immunology 899
- Oncology 472
- Pathology and Forensic Medicine 209
Countries citing papers authored by Tomoharu Yasuda
This map shows the geographic impact of Tomoharu Yasuda'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 Tomoharu Yasuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoharu Yasuda more than expected).
Fields of papers citing papers by Tomoharu Yasuda
This network shows the impact of papers produced by Tomoharu Yasuda. 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 Tomoharu Yasuda. The network helps show where Tomoharu Yasuda may publish in the future.
Co-authorship network of co-authors of Tomoharu Yasuda
This figure shows the co-authorship network connecting the top 25 collaborators of Tomoharu Yasuda. A scholar is included among the top collaborators of Tomoharu Yasuda 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 Tomoharu Yasuda. Tomoharu Yasuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 30 | |
| 9 | 18 | |
| 10 | 21 | |
| 11 | 27 | |
| 12 | 16 | |
| 13 | 23 | |
| 14 | 40 | |
| 15 | 91 | |
| 16 | 7 | |
| 17 | 33 | |
| 18 | 136 | |
| 19 | Comprehensive analysis of microRNA expression patterns in hepatocellular carcinoma and non-tumorous tissues breakdown → | 946 |
| 20 | 77 |
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.