Dana Striplin
About
In The Last Decade
Dana Striplin
14 papers receiving 776 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Dana Striplin United States | 10 | 314 | 245 | 170 | 137 | 134 | 14 | 810 | ||
| Margaret E. Gatti United States | 10 | 290 0.9× | 206 0.8× | 111 0.7× | 55 0.4× | 68 0.5× | 11 | 951 | ||
| R. Yates Coley United States | 17 | 442 1.4× | 79 0.3× | 63 0.4× | 146 1.1× | 33 0.2× | 41 | 1.1k | ||
| Laurence O. Watkins United States | 15 | 140 0.4× | 180 0.7× | 334 2.0× | 68 0.5× | 30 0.2× | 29 | 1.1k | ||
| Itziar Vergara Spain | 21 | 127 0.4× | 293 1.2× | 106 0.6× | 72 0.5× | 34 0.3× | 57 | 1.2k | ||
| Claudia Zeballos‐Palacios United States | 12 | 99 0.3× | 176 0.7× | 67 0.4× | 276 2.0× | 53 0.4× | 19 | 668 | ||
| Adrian Brady United Kingdom | 14 | 205 0.7× | 110 0.4× | 278 1.6× | 100 0.7× | 14 0.1× | 46 | 1.0k | ||
| Kathleen R. Liscum United States | 18 | 452 1.4× | 107 0.4× | 67 0.4× | 86 0.6× | 28 0.2× | 25 | 1.2k | ||
| Keiko Kazuma Japan | 20 | 141 0.4× | 220 0.9× | 290 1.7× | 78 0.6× | 12 0.1× | 67 | 1.2k | ||
| Pradeep Sharma United States | 13 | 203 0.6× | 76 0.3× | 182 1.1× | 90 0.7× | 23 0.2× | 39 | 729 | ||
| Stephanie Reading United States | 13 | 189 0.6× | 79 0.3× | 187 1.1× | 156 1.1× | 17 0.1× | 26 | 645 |
Countries citing papers authored by Dana Striplin
This map shows the geographic impact of Dana Striplin'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 Dana Striplin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana Striplin more than expected).
Fields of papers citing papers by Dana Striplin
This network shows the impact of papers produced by Dana Striplin. 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 Dana Striplin. The network helps show where Dana Striplin may publish in the future.
Co-authorship network of co-authors of Dana Striplin
This figure shows the co-authorship network connecting the top 25 collaborators of Dana Striplin. A scholar is included among the top collaborators of Dana Striplin 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 Dana Striplin. Dana Striplin 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.