Ryuichiro Sakata
About
In The Last Decade
Ryuichiro Sakata
22 papers receiving 906 citations
Peers
Comparison fields: 5 of 86
- Hepatology 494
- Epidemiology 321
- Molecular Biology 251
- Surgery 222
- Pathology and Forensic Medicine 102
Countries citing papers authored by Ryuichiro Sakata
This map shows the geographic impact of Ryuichiro Sakata'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 Ryuichiro Sakata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryuichiro Sakata more than expected).
Fields of papers citing papers by Ryuichiro Sakata
This network shows the impact of papers produced by Ryuichiro Sakata. 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 Ryuichiro Sakata. The network helps show where Ryuichiro Sakata may publish in the future.
Co-authorship network of co-authors of Ryuichiro Sakata
This figure shows the co-authorship network connecting the top 25 collaborators of Ryuichiro Sakata. A scholar is included among the top collaborators of Ryuichiro Sakata 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 Ryuichiro Sakata. Ryuichiro Sakata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 97 | |
| 2 | 119 | |
| 3 | 10 | |
| 4 | 16 | |
| 5 | 30 | |
| 6 | 86 | |
| 7 | 51 | |
| 8 | 15 | |
| 9 | 84 | |
| 10 | 24 | |
| 11 | 215 | |
| 12 | 3 | |
| 13 | 43 | |
| 14 | 6 | |
| 15 | Serum hyaluronate predicts response to interferon-alpha therapy in patients with chronic hepatitis C. | 10 |
| 16 | 5 | |
| 17 | 2 | |
| 18 | 36 | |
| 19 | 4 | |
| 20 | 8 |
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.