Rachel Wang
About
In The Last Decade
Rachel Wang
56 papers receiving 3.1k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Rachel Wang United States | 26 | 1.4k | 989 | 829 | 434 | 430 | 61 | 3.2k | ||
| Florian Mueller France | 40 | 3.7k 2.7× | 227 0.2× | 663 0.8× | 108 0.2× | 232 0.5× | 74 | 4.7k | ||
| Sua Myong United States | 41 | 5.6k 4.1× | 209 0.2× | 430 0.5× | 190 0.4× | 278 0.6× | 111 | 6.6k | ||
| David M. Belnap United States | 30 | 1.8k 1.3× | 303 0.3× | 69 0.1× | 694 1.6× | 346 0.8× | 49 | 3.6k | ||
| Nathalie Daigle Germany | 25 | 3.5k 2.6× | 303 0.3× | 620 0.7× | 250 0.6× | 149 0.3× | 31 | 4.4k | ||
| Alessandra Cambi Netherlands | 43 | 2.2k 1.6× | 162 0.2× | 455 0.5× | 470 1.1× | 659 1.5× | 113 | 5.7k | ||
| Mark Yeager United States | 48 | 4.2k 3.1× | 716 0.7× | 55 0.1× | 850 2.0× | 225 0.5× | 115 | 7.8k | ||
| Melike Lakadamyali United States | 38 | 3.7k 2.7× | 275 0.3× | 1.5k 1.8× | 758 1.7× | 1.4k 3.3× | 85 | 7.1k | ||
| Masahiro Ueda Japan | 33 | 2.0k 1.5× | 101 0.1× | 396 0.5× | 1.1k 2.6× | 486 1.1× | 133 | 3.9k | ||
| Ethan C. Garner United States | 33 | 6.3k 4.6× | 533 0.5× | 209 0.3× | 391 0.9× | 171 0.4× | 61 | 8.2k | ||
| Christian Sieben Germany | 24 | 1.1k 0.8× | 221 0.2× | 308 0.4× | 483 1.1× | 251 0.6× | 51 | 2.1k |
Countries citing papers authored by Rachel Wang
This map shows the geographic impact of Rachel Wang'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 Rachel Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel Wang more than expected).
Fields of papers citing papers by Rachel Wang
This network shows the impact of papers produced by Rachel Wang. 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 Rachel Wang. The network helps show where Rachel Wang may publish in the future.
Co-authorship network of co-authors of Rachel Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Wang. A scholar is included among the top collaborators of Rachel Wang 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 Rachel Wang. Rachel Wang 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.