Kayoko Nishi
About
In The Last Decade
Kayoko Nishi
26 papers receiving 694 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Kayoko Nishi United States | 17 | 609 | 147 | 98 | 70 | 63 | 26 | 726 | ||
| Keiichi Itakura United States | 13 | 668 1.1× | 84 0.6× | 152 1.6× | 92 1.3× | 40 0.6× | 29 | 865 | ||
| Christina Gewinner United Kingdom | 11 | 600 1.0× | 205 1.4× | 85 0.9× | 98 1.4× | 127 2.0× | 14 | 821 | ||
| Lidia C. Boffa Italy | 16 | 681 1.1× | 80 0.5× | 86 0.9× | 75 1.1× | 26 0.4× | 29 | 819 | ||
| Tetsuo Miyake Japan | 10 | 526 0.9× | 81 0.6× | 109 1.1× | 35 0.5× | 38 0.6× | 26 | 701 | ||
| Kerstin K. Leuther United States | 13 | 928 1.5× | 130 0.9× | 142 1.4× | 48 0.7× | 75 1.2× | 19 | 1.2k | ||
| Jenny L. Maki United States | 13 | 857 1.4× | 127 0.9× | 50 0.5× | 120 1.7× | 77 1.2× | 18 | 1.1k | ||
| Francis Harper France | 13 | 733 1.2× | 181 1.2× | 84 0.9× | 37 0.5× | 87 1.4× | 17 | 843 | ||
| Vivian W. McFarland United States | 15 | 488 0.8× | 208 1.4× | 192 2.0× | 45 0.6× | 72 1.1× | 20 | 772 | ||
| Mette Prætorius-Ibba United States | 17 | 714 1.2× | 156 1.1× | 88 0.9× | 65 0.9× | 46 0.7× | 22 | 865 | ||
| Thao Nheu Australia | 15 | 486 0.8× | 295 2.0× | 57 0.6× | 104 1.5× | 81 1.3× | 15 | 867 |
Countries citing papers authored by Kayoko Nishi
This map shows the geographic impact of Kayoko Nishi'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 Kayoko Nishi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kayoko Nishi more than expected).
Fields of papers citing papers by Kayoko Nishi
This network shows the impact of papers produced by Kayoko Nishi. 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 Kayoko Nishi. The network helps show where Kayoko Nishi may publish in the future.
Co-authorship network of co-authors of Kayoko Nishi
This figure shows the co-authorship network connecting the top 25 collaborators of Kayoko Nishi. A scholar is included among the top collaborators of Kayoko Nishi 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 Kayoko Nishi. Kayoko Nishi 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.