Xiao‐Tong Su
About
In The Last Decade
Xiao‐Tong Su
44 papers receiving 1.2k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Xiao‐Tong Su United States | 21 | 973 | 399 | 354 | 190 | 151 | 46 | 1.2k | ||
| Francesca Di Sole United States | 18 | 511 0.5× | 168 0.4× | 64 0.2× | 82 0.4× | 92 0.6× | 32 | 799 | ||
| Otor Al‐Khalili United States | 18 | 737 0.8× | 214 0.5× | 131 0.4× | 136 0.7× | 51 0.3× | 28 | 904 | ||
| José Ponce‐Coria Mexico | 11 | 463 0.5× | 131 0.3× | 126 0.4× | 79 0.4× | 72 0.5× | 11 | 570 | ||
| Bela Malik United States | 13 | 687 0.7× | 226 0.6× | 108 0.3× | 99 0.5× | 26 0.2× | 19 | 830 | ||
| Yasuyoshi Yamaji Japan | 18 | 622 0.6× | 100 0.3× | 63 0.2× | 119 0.6× | 169 1.1× | 29 | 864 | ||
| Linda Richardson United States | 9 | 681 0.7× | 164 0.4× | 89 0.3× | 49 0.3× | 28 0.2× | 10 | 882 | ||
| H. J. L. Speirs Australia | 10 | 410 0.4× | 69 0.2× | 91 0.3× | 140 0.7× | 27 0.2× | 11 | 571 | ||
| Luciene R. Carraro‐Lacroix Brazil | 14 | 412 0.4× | 84 0.2× | 35 0.1× | 311 1.6× | 78 0.5× | 20 | 827 | ||
| Paola Capuano Switzerland | 15 | 435 0.4× | 154 0.4× | 308 0.9× | 38 0.2× | 595 3.9× | 20 | 899 | ||
| Solveig Großmann Germany | 7 | 452 0.5× | 165 0.4× | 148 0.4× | 111 0.6× | 79 0.5× | 8 | 561 |
Countries citing papers authored by Xiao‐Tong Su
This map shows the geographic impact of Xiao‐Tong Su'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 Xiao‐Tong Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao‐Tong Su more than expected).
Fields of papers citing papers by Xiao‐Tong Su
This network shows the impact of papers produced by Xiao‐Tong Su. 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 Xiao‐Tong Su. The network helps show where Xiao‐Tong Su may publish in the future.
Co-authorship network of co-authors of Xiao‐Tong Su
This figure shows the co-authorship network connecting the top 25 collaborators of Xiao‐Tong Su. A scholar is included among the top collaborators of Xiao‐Tong Su 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 Xiao‐Tong Su. Xiao‐Tong Su 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.