Saeko Tada‐Oikawa
About
In The Last Decade
Saeko Tada‐Oikawa
40 papers receiving 2.0k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Saeko Tada‐Oikawa Japan | 22 | 982 | 301 | 228 | 219 | 193 | 40 | 2.1k | ||
| Christian Riebeling Germany | 23 | 1.4k 1.4× | 511 1.7× | 181 0.8× | 294 1.3× | 112 0.6× | 39 | 2.3k | ||
| Qian Guo China | 28 | 1.1k 1.2× | 361 1.2× | 146 0.6× | 286 1.3× | 288 1.5× | 142 | 2.4k | ||
| Morana Jaganjac Croatia | 28 | 893 0.9× | 368 1.2× | 109 0.5× | 112 0.5× | 206 1.1× | 83 | 2.5k | ||
| Carlo Irace Italy | 34 | 1.3k 1.4× | 245 0.8× | 536 2.4× | 170 0.8× | 284 1.5× | 97 | 3.2k | ||
| Xinhua Lin China | 28 | 1.3k 1.4× | 209 0.7× | 223 1.0× | 97 0.4× | 210 1.1× | 89 | 2.4k | ||
| Katsuhiko Ono Japan | 30 | 1.4k 1.4× | 287 1.0× | 342 1.5× | 104 0.5× | 229 1.2× | 103 | 3.4k | ||
| Byeong Mo Kim South Korea | 26 | 880 0.9× | 114 0.4× | 218 1.0× | 347 1.6× | 276 1.4× | 47 | 1.9k | ||
| Jing Xue China | 30 | 1.5k 1.5× | 318 1.1× | 157 0.7× | 222 1.0× | 379 2.0× | 103 | 2.9k | ||
| Neelam Azad United States | 26 | 1.3k 1.3× | 298 1.0× | 316 1.4× | 111 0.5× | 392 2.0× | 54 | 2.4k | ||
| Xianyin Lai United States | 24 | 815 0.8× | 230 0.8× | 112 0.5× | 307 1.4× | 289 1.5× | 66 | 2.1k |
Countries citing papers authored by Saeko Tada‐Oikawa
This map shows the geographic impact of Saeko Tada‐Oikawa'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 Saeko Tada‐Oikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saeko Tada‐Oikawa more than expected).
Fields of papers citing papers by Saeko Tada‐Oikawa
This network shows the impact of papers produced by Saeko Tada‐Oikawa. 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 Saeko Tada‐Oikawa. The network helps show where Saeko Tada‐Oikawa may publish in the future.
Co-authorship network of co-authors of Saeko Tada‐Oikawa
This figure shows the co-authorship network connecting the top 25 collaborators of Saeko Tada‐Oikawa. A scholar is included among the top collaborators of Saeko Tada‐Oikawa 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 Saeko Tada‐Oikawa. Saeko Tada‐Oikawa 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.