Saiko Nasu
About
In The Last Decade
Saiko Nasu
28 papers receiving 1.1k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Saiko Nasu Japan | 18 | 884 | 415 | 329 | 140 | 120 | 30 | 1.1k | ||
| Yumi Fujimaki Japan | 17 | 730 0.8× | 346 0.8× | 228 0.7× | 122 0.9× | 113 0.9× | 25 | 935 | ||
| Yu‐ichi Noto Japan | 22 | 1.0k 1.2× | 473 1.1× | 447 1.4× | 224 1.6× | 217 1.8× | 72 | 1.5k | ||
| Yukari Sekiguchi Japan | 27 | 1.5k 1.7× | 864 2.1× | 347 1.1× | 210 1.5× | 274 2.3× | 72 | 1.9k | ||
| Glenn Lopate United States | 21 | 787 0.9× | 466 1.1× | 218 0.7× | 326 2.3× | 96 0.8× | 35 | 1.4k | ||
| Peter Van den Bergh Belgium | 11 | 717 0.8× | 786 1.9× | 94 0.3× | 333 2.4× | 287 2.4× | 15 | 1.3k | ||
| R. Plasmati Italy | 22 | 451 0.5× | 267 0.6× | 124 0.4× | 327 2.3× | 98 0.8× | 42 | 1.5k | ||
| Kevin J. Felice United States | 23 | 686 0.8× | 350 0.8× | 501 1.5× | 643 4.6× | 77 0.6× | 65 | 1.7k | ||
| Muhammad Al‐Lozi United States | 14 | 743 0.8× | 186 0.4× | 330 1.0× | 303 2.2× | 62 0.5× | 19 | 1.1k | ||
| C.C.P. Verstappen Netherlands | 15 | 214 0.2× | 136 0.3× | 207 0.6× | 144 1.0× | 37 0.3× | 17 | 890 | ||
| Philipp J. Slotty Germany | 20 | 492 0.6× | 141 0.3× | 358 1.1× | 53 0.4× | 60 0.5× | 52 | 1.3k |
Countries citing papers authored by Saiko Nasu
This map shows the geographic impact of Saiko Nasu'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 Saiko Nasu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saiko Nasu more than expected).
Fields of papers citing papers by Saiko Nasu
This network shows the impact of papers produced by Saiko Nasu. 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 Saiko Nasu. The network helps show where Saiko Nasu may publish in the future.
Co-authorship network of co-authors of Saiko Nasu
This figure shows the co-authorship network connecting the top 25 collaborators of Saiko Nasu. A scholar is included among the top collaborators of Saiko Nasu 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 Saiko Nasu. Saiko Nasu 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.