Dax Fu
About
In The Last Decade
Dax Fu
39 papers receiving 2.8k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Dax Fu United States | 24 | 1.4k | 1.2k | 554 | 520 | 320 | 39 | 2.8k | ||
| Julian C. Rutherford United Kingdom | 21 | 1.6k 1.1× | 871 0.7× | 685 1.2× | 264 0.5× | 209 0.7× | 25 | 3.2k | ||
| Daniel Yuan United States | 24 | 2.5k 1.8× | 1.9k 1.7× | 1.1k 2.1× | 744 1.4× | 142 0.4× | 47 | 4.5k | ||
| Martina Ralle United States | 35 | 971 0.7× | 1.5k 1.3× | 232 0.4× | 658 1.3× | 79 0.2× | 81 | 3.2k | ||
| Simone Ciofi‐Baffoni Italy | 43 | 2.6k 1.8× | 2.3k 2.0× | 571 1.0× | 610 1.2× | 186 0.6× | 95 | 5.1k | ||
| Sharon La Fontaine Australia | 30 | 983 0.7× | 2.2k 1.9× | 388 0.7× | 1.1k 2.0× | 112 0.3× | 52 | 3.7k | ||
| Ulrich Mühlenhoff Germany | 53 | 6.1k 4.2× | 2.1k 1.8× | 659 1.2× | 151 0.3× | 248 0.8× | 96 | 8.8k | ||
| Harry A. Dailey United States | 48 | 5.1k 3.5× | 308 0.3× | 389 0.7× | 168 0.3× | 250 0.8× | 142 | 6.5k | ||
| Stephen G. Aller United States | 17 | 1.3k 0.9× | 702 0.6× | 225 0.4× | 203 0.4× | 71 0.2× | 40 | 3.1k | ||
| Debkumar Pain United States | 37 | 3.5k 2.4× | 457 0.4× | 244 0.4× | 77 0.1× | 181 0.6× | 75 | 5.1k | ||
| George W. Bates United States | 28 | 1.0k 0.7× | 652 0.6× | 776 1.4× | 112 0.2× | 109 0.3× | 67 | 2.8k |
Countries citing papers authored by Dax Fu
This map shows the geographic impact of Dax Fu'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 Dax Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dax Fu more than expected).
Fields of papers citing papers by Dax Fu
This network shows the impact of papers produced by Dax Fu. 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 Dax Fu. The network helps show where Dax Fu may publish in the future.
Co-authorship network of co-authors of Dax Fu
This figure shows the co-authorship network connecting the top 25 collaborators of Dax Fu. A scholar is included among the top collaborators of Dax Fu 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 Dax Fu. Dax Fu 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.