Miyuki Yano
About
In The Last Decade
Miyuki Yano
12 papers receiving 1.3k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Miyuki Yano Japan | 12 | 772 | 279 | 266 | 237 | 198 | 12 | 1.3k | ||
| Hyoung Chul Choi South Korea | 21 | 799 1.0× | 260 0.9× | 349 1.3× | 252 1.1× | 207 1.0× | 56 | 1.5k | ||
| Hiroyuki Unoki‐Kubota Japan | 19 | 697 0.9× | 265 0.9× | 307 1.2× | 220 0.9× | 242 1.2× | 37 | 1.6k | ||
| Kazuhiro Sonoda Japan | 14 | 784 1.0× | 263 0.9× | 416 1.6× | 252 1.1× | 194 1.0× | 17 | 1.7k | ||
| Mounib Elchebly Canada | 17 | 643 0.8× | 311 1.1× | 251 0.9× | 164 0.7× | 164 0.8× | 24 | 1.2k | ||
| Yanxing Chen United States | 18 | 679 0.9× | 256 0.9× | 302 1.1× | 143 0.6× | 154 0.8× | 36 | 1.4k | ||
| Karin Toet Netherlands | 20 | 451 0.6× | 235 0.8× | 218 0.8× | 266 1.1× | 107 0.5× | 30 | 1.1k | ||
| Guojun Zhao China | 20 | 748 1.0× | 254 0.9× | 465 1.7× | 410 1.7× | 190 1.0× | 33 | 1.8k | ||
| Banumathi K. Cole United States | 20 | 580 0.8× | 273 1.0× | 283 1.1× | 522 2.2× | 160 0.8× | 26 | 1.7k | ||
| Sung‐E Choi South Korea | 22 | 694 0.9× | 322 1.2× | 352 1.3× | 450 1.9× | 117 0.6× | 53 | 1.6k | ||
| Joshua E. Basford United States | 19 | 479 0.6× | 260 0.9× | 314 1.2× | 344 1.5× | 175 0.9× | 22 | 1.2k |
Countries citing papers authored by Miyuki Yano
This map shows the geographic impact of Miyuki Yano'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 Miyuki Yano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miyuki Yano more than expected).
Fields of papers citing papers by Miyuki Yano
This network shows the impact of papers produced by Miyuki Yano. 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 Miyuki Yano. The network helps show where Miyuki Yano may publish in the future.
Co-authorship network of co-authors of Miyuki Yano
This figure shows the co-authorship network connecting the top 25 collaborators of Miyuki Yano. A scholar is included among the top collaborators of Miyuki Yano 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 Miyuki Yano. Miyuki Yano 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.