Victoria Sharp
About
In The Last Decade
Victoria Sharp
63 papers receiving 1.8k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Victoria Sharp United States | 26 | 794 | 734 | 612 | 240 | 178 | 64 | 1.8k | ||
| Anne‐Déborah Bouhnik France | 25 | 726 0.9× | 504 0.7× | 536 0.9× | 325 1.4× | 102 0.6× | 113 | 1.9k | ||
| Jacqueline P. Tulsky United States | 26 | 1.1k 1.3× | 820 1.1× | 1.0k 1.7× | 256 1.1× | 166 0.9× | 58 | 2.1k | ||
| Mônica Malta Brazil | 24 | 1.1k 1.4× | 625 0.9× | 923 1.5× | 320 1.3× | 210 1.2× | 62 | 2.3k | ||
| Adebola Adedimeji United States | 25 | 986 1.2× | 774 1.1× | 712 1.2× | 164 0.7× | 174 1.0× | 120 | 1.8k | ||
| Enbal Shacham United States | 24 | 918 1.2× | 658 0.9× | 565 0.9× | 316 1.3× | 278 1.6× | 93 | 1.9k | ||
| Renslow Sherer United States | 20 | 902 1.1× | 367 0.5× | 583 1.0× | 244 1.0× | 120 0.7× | 79 | 1.6k | ||
| Marie Préau France | 26 | 1.3k 1.6× | 631 0.9× | 892 1.5× | 307 1.3× | 166 0.9× | 177 | 2.2k | ||
| Cheng‐Shiun Leu United States | 26 | 1.4k 1.8× | 1.1k 1.5× | 537 0.9× | 392 1.6× | 247 1.4× | 133 | 2.5k | ||
| Jennifer Pellowski United States | 22 | 1.2k 1.5× | 1.0k 1.4× | 681 1.1× | 260 1.1× | 195 1.1× | 64 | 2.1k | ||
| Elly Katabira Uganda | 26 | 809 1.0× | 331 0.5× | 410 0.7× | 329 1.4× | 102 0.6× | 69 | 1.8k |
Countries citing papers authored by Victoria Sharp
This map shows the geographic impact of Victoria Sharp'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 Victoria Sharp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victoria Sharp more than expected).
Fields of papers citing papers by Victoria Sharp
This network shows the impact of papers produced by Victoria Sharp. 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 Victoria Sharp. The network helps show where Victoria Sharp may publish in the future.
Co-authorship network of co-authors of Victoria Sharp
This figure shows the co-authorship network connecting the top 25 collaborators of Victoria Sharp. A scholar is included among the top collaborators of Victoria Sharp 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 Victoria Sharp. Victoria Sharp 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.