Toru Tokuoka
About
In The Last Decade
Toru Tokuoka
16 papers receiving 385 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Toru Tokuoka Japan | 11 | 328 | 269 | 149 | 21 | 19 | 17 | 405 | ||
| Lisa M. Campbell United States | 8 | 296 0.9× | 258 1.0× | 137 0.9× | 23 1.1× | 32 1.7× | 25 | 406 | ||
| Jesper Kårehed Sweden | 8 | 380 1.2× | 306 1.1× | 138 0.9× | 10 0.5× | 26 1.4× | 12 | 448 | ||
| Henry Loconte United States | 5 | 314 1.0× | 234 0.9× | 94 0.6× | 25 1.2× | 15 0.8× | 6 | 361 | ||
| Inge Groeninckx Belgium | 12 | 344 1.0× | 260 1.0× | 92 0.6× | 13 0.6× | 23 1.2× | 16 | 389 | ||
| Louis Ronse De Craene United Kingdom | 12 | 322 1.0× | 260 1.0× | 179 1.2× | 12 0.6× | 24 1.3× | 25 | 411 | ||
| Sue Zmarzty United Kingdom | 4 | 195 0.6× | 146 0.5× | 96 0.6× | 24 1.1× | 37 1.9× | 8 | 265 | ||
| Hye‐Kyoung Moon South Korea | 13 | 397 1.2× | 223 0.8× | 291 2.0× | 12 0.6× | 85 4.5× | 24 | 491 | ||
| H. Maas-van de Kamer Netherlands | 9 | 172 0.5× | 141 0.5× | 86 0.6× | 8 0.4× | 14 0.7× | 16 | 236 | ||
| María Mercedes Arbo Argentina | 14 | 343 1.0× | 243 0.9× | 222 1.5× | 25 1.2× | 15 0.8× | 48 | 438 | ||
| Hashendra Kathriarachchi United States | 6 | 240 0.7× | 204 0.8× | 160 1.1× | 17 0.8× | 13 0.7× | 8 | 332 |
Countries citing papers authored by Toru Tokuoka
This map shows the geographic impact of Toru Tokuoka'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 Toru Tokuoka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toru Tokuoka more than expected).
Fields of papers citing papers by Toru Tokuoka
This network shows the impact of papers produced by Toru Tokuoka. 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 Toru Tokuoka. The network helps show where Toru Tokuoka may publish in the future.
Co-authorship network of co-authors of Toru Tokuoka
This figure shows the co-authorship network connecting the top 25 collaborators of Toru Tokuoka. A scholar is included among the top collaborators of Toru Tokuoka 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 Toru Tokuoka. Toru Tokuoka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
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.