Mae Squires
About
In The Last Decade
Mae Squires
12 papers receiving 411 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mae Squires Canada | 9 | 242 | 130 | 107 | 95 | 63 | 12 | 464 | ||
| Mary Val Palumbo United States | 12 | 301 1.2× | 112 0.9× | 101 0.9× | 75 0.8× | 57 0.9× | 37 | 533 | ||
| Alexandre Pazetto Balsanelli Brazil | 15 | 338 1.4× | 99 0.8× | 101 0.9× | 78 0.8× | 44 0.7× | 84 | 642 | ||
| Gülseren Kocaman Türkiye | 11 | 244 1.0× | 97 0.7× | 79 0.7× | 102 1.1× | 55 0.9× | 28 | 494 | ||
| Caroline Marchionni Canada | 12 | 406 1.7× | 161 1.2× | 74 0.7× | 116 1.2× | 46 0.7× | 20 | 653 | ||
| Mary G. Nash United States | 6 | 313 1.3× | 129 1.0× | 60 0.6× | 123 1.3× | 38 0.6× | 11 | 445 | ||
| Farida Fatehi United States | 11 | 389 1.6× | 213 1.6× | 134 1.3× | 62 0.7× | 48 0.8× | 14 | 615 | ||
| Michelle Janney United States | 6 | 433 1.8× | 214 1.6× | 72 0.7× | 181 1.9× | 45 0.7× | 7 | 591 | ||
| Betty Rambur United States | 14 | 379 1.6× | 142 1.1× | 122 1.1× | 69 0.7× | 69 1.1× | 60 | 683 | ||
| Karen Drenkard United States | 15 | 401 1.7× | 232 1.8× | 160 1.5× | 70 0.7× | 57 0.9× | 50 | 726 | ||
| Anneli Ensio Finland | 8 | 497 2.1× | 193 1.5× | 101 0.9× | 122 1.3× | 50 0.8× | 16 | 740 |
Countries citing papers authored by Mae Squires
This map shows the geographic impact of Mae Squires'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 Mae Squires with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mae Squires more than expected).
Fields of papers citing papers by Mae Squires
This network shows the impact of papers produced by Mae Squires. 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 Mae Squires. The network helps show where Mae Squires may publish in the future.
Co-authorship network of co-authors of Mae Squires
This figure shows the co-authorship network connecting the top 25 collaborators of Mae Squires. A scholar is included among the top collaborators of Mae Squires 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 Mae Squires. Mae Squires 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.