Marsha Pryor
About
In The Last Decade
Marsha Pryor
13 papers receiving 661 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Marsha Pryor United States | 10 | 335 | 261 | 227 | 93 | 78 | 13 | 681 | ||
| Kimberly A. Ross United States | 6 | 128 0.4× | 109 0.4× | 69 0.3× | 28 0.3× | 41 0.5× | 6 | 352 | ||
| Jingyuan Zhu China | 16 | 145 0.4× | 111 0.4× | 51 0.2× | 194 2.1× | 196 2.5× | 31 | 631 | ||
| Ellen J. Mangione United States | 8 | 222 0.7× | 59 0.2× | 74 0.3× | 44 0.5× | 40 0.5× | 10 | 507 | ||
| Joseph Gauthier United States | 10 | 50 0.1× | 129 0.5× | 25 0.1× | 106 1.1× | 56 0.7× | 17 | 632 | ||
| Tomoaki Ishikawa Japan | 15 | 173 0.5× | 78 0.3× | 29 0.1× | 127 1.4× | 23 0.3× | 37 | 685 | ||
| Aleksandra Wilk Poland | 10 | 87 0.3× | 68 0.3× | 31 0.1× | 42 0.5× | 28 0.4× | 38 | 392 | ||
| Laila N. Islam Bangladesh | 13 | 124 0.4× | 87 0.3× | 21 0.1× | 28 0.3× | 16 0.2× | 43 | 468 | ||
| Mohammad Bakhtiar Hossain Sweden | 17 | 453 1.4× | 345 1.3× | 10 0.0× | 61 0.7× | 33 0.4× | 21 | 1.0k | ||
| Antonella Mansi Italy | 13 | 154 0.5× | 157 0.6× | 121 0.5× | 19 0.2× | 12 0.2× | 36 | 467 | ||
| Bilquis Banu India | 16 | 443 1.3× | 102 0.4× | 15 0.1× | 147 1.6× | 15 0.2× | 25 | 1.1k |
Countries citing papers authored by Marsha Pryor
This map shows the geographic impact of Marsha Pryor'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 Marsha Pryor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marsha Pryor more than expected).
Fields of papers citing papers by Marsha Pryor
This network shows the impact of papers produced by Marsha Pryor. 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 Marsha Pryor. The network helps show where Marsha Pryor may publish in the future.
Co-authorship network of co-authors of Marsha Pryor
This figure shows the co-authorship network connecting the top 25 collaborators of Marsha Pryor. A scholar is included among the top collaborators of Marsha Pryor 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 Marsha Pryor. Marsha Pryor 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.