Salina Yuan
About
In The Last Decade
Salina Yuan
11 papers receiving 1.3k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Salina Yuan United States | 10 | 851 | 669 | 450 | 171 | 131 | 11 | 1.3k | ||
| Victoria da Silva-Diz United States | 9 | 691 0.8× | 616 0.9× | 345 0.8× | 104 0.6× | 87 0.7× | 16 | 1.1k | ||
| Katrin E. Tagscherer Germany | 22 | 897 1.1× | 564 0.8× | 368 0.8× | 181 1.1× | 106 0.8× | 46 | 1.5k | ||
| Ariel Ka-Man Chow Hong Kong | 16 | 672 0.8× | 624 0.9× | 440 1.0× | 97 0.6× | 74 0.6× | 27 | 1.2k | ||
| Jeff C. Liu Canada | 19 | 897 1.1× | 660 1.0× | 434 1.0× | 142 0.8× | 73 0.6× | 25 | 1.4k | ||
| Marcus Bosenberg United States | 13 | 801 0.9× | 384 0.6× | 322 0.7× | 188 1.1× | 142 1.1× | 20 | 1.2k | ||
| Andreas Wernitznig Austria | 13 | 782 0.9× | 540 0.8× | 274 0.6× | 113 0.7× | 167 1.3× | 26 | 1.2k | ||
| Puay Leng Lee Singapore | 17 | 1.6k 1.9× | 512 0.8× | 525 1.2× | 248 1.5× | 115 0.9× | 18 | 2.1k | ||
| Rama Krishna Nimmakayala United States | 18 | 740 0.9× | 547 0.8× | 341 0.8× | 247 1.4× | 100 0.8× | 28 | 1.2k | ||
| Kideok Jin United States | 20 | 864 1.0× | 580 0.9× | 310 0.7× | 176 1.0× | 77 0.6× | 28 | 1.3k | ||
| Miriam Gaggianesi Italy | 13 | 729 0.9× | 598 0.9× | 327 0.7× | 142 0.8× | 150 1.1× | 25 | 1.1k |
Countries citing papers authored by Salina Yuan
This map shows the geographic impact of Salina Yuan'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 Salina Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salina Yuan more than expected).
Fields of papers citing papers by Salina Yuan
This network shows the impact of papers produced by Salina Yuan. 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 Salina Yuan. The network helps show where Salina Yuan may publish in the future.
Co-authorship network of co-authors of Salina Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Salina Yuan. A scholar is included among the top collaborators of Salina Yuan 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 Salina Yuan. Salina Yuan 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.