Natalie Yip
About
In The Last Decade
Natalie Yip
20 papers receiving 1.7k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Natalie Yip United States | 13 | 954 | 632 | 390 | 355 | 251 | 20 | 1.7k | ||
| Anthony Gerbino United States | 8 | 1.1k 1.2× | 696 1.1× | 549 1.4× | 341 1.0× | 271 1.1× | 24 | 2.2k | ||
| Lindy S. Klaff United States | 5 | 1.1k 1.2× | 676 1.1× | 295 0.8× | 306 0.9× | 194 0.8× | 6 | 1.6k | ||
| Shane O’Mahony Ireland | 4 | 1.1k 1.2× | 691 1.1× | 398 1.0× | 332 0.9× | 264 1.1× | 4 | 1.8k | ||
| Benjamin J. Meyer United States | 7 | 941 1.0× | 626 1.0× | 292 0.7× | 306 0.9× | 216 0.9× | 9 | 1.5k | ||
| Jonathan Hastie United States | 8 | 949 1.0× | 622 1.0× | 294 0.8× | 317 0.9× | 208 0.8× | 19 | 1.6k | ||
| Sharukh Lokhandwala United States | 7 | 1.1k 1.2× | 686 1.1× | 282 0.7× | 303 0.9× | 204 0.8× | 12 | 1.7k | ||
| John Salazar‐Schicchi United States | 10 | 987 1.0× | 617 1.0× | 377 1.0× | 437 1.2× | 206 0.8× | 17 | 1.8k | ||
| Beth Hochman United States | 5 | 937 1.0× | 618 1.0× | 290 0.7× | 310 0.9× | 205 0.8× | 13 | 1.5k | ||
| María Gabriela Acuña Chong Ecuador | 3 | 1.1k 1.2× | 685 1.1× | 263 0.7× | 300 0.8× | 185 0.7× | 5 | 1.6k | ||
| Ling Sang China | 16 | 737 0.8× | 320 0.5× | 306 0.8× | 274 0.8× | 161 0.6× | 50 | 1.4k |
Countries citing papers authored by Natalie Yip
This map shows the geographic impact of Natalie Yip'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 Natalie Yip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie Yip more than expected).
Fields of papers citing papers by Natalie Yip
This network shows the impact of papers produced by Natalie Yip. 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 Natalie Yip. The network helps show where Natalie Yip may publish in the future.
Co-authorship network of co-authors of Natalie Yip
This figure shows the co-authorship network connecting the top 25 collaborators of Natalie Yip. A scholar is included among the top collaborators of Natalie Yip 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 Natalie Yip. Natalie Yip 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.