Tomohiro Hikata
About
In The Last Decade
Tomohiro Hikata
30 papers receiving 884 citations
Peers
Comparison fields: 5 of 65
- Surgery 507
- Pathology and Forensic Medicine 357
- Rheumatology 219
- Molecular Biology 203
- Pharmacology 120
Countries citing papers authored by Tomohiro Hikata
This map shows the geographic impact of Tomohiro Hikata'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 Tomohiro Hikata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomohiro Hikata more than expected).
Fields of papers citing papers by Tomohiro Hikata
This network shows the impact of papers produced by Tomohiro Hikata. 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 Tomohiro Hikata. The network helps show where Tomohiro Hikata may publish in the future.
Co-authorship network of co-authors of Tomohiro Hikata
This figure shows the co-authorship network connecting the top 25 collaborators of Tomohiro Hikata. A scholar is included among the top collaborators of Tomohiro Hikata 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 Tomohiro Hikata. Tomohiro Hikata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 8 | |
| 5 | 43 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | 18 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 5 | |
| 13 | 85 | |
| 14 | 22 | |
| 15 | 2 | |
| 16 | 125 | |
| 17 | 8 | |
| 18 | 72 | |
| 19 | 60 | |
| 20 | 93 |
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.