Mei‐Tsz Su
About
In The Last Decade
Mei‐Tsz Su
22 papers receiving 355 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mei‐Tsz Su Taiwan | 9 | 143 | 138 | 115 | 98 | 89 | 23 | 366 | ||
| Mei-Tsz Su Taiwan | 13 | 233 1.6× | 246 1.8× | 92 0.8× | 70 0.7× | 123 1.4× | 21 | 482 | ||
| T. Toloubeydokhti United States | 6 | 214 1.5× | 142 1.0× | 121 1.1× | 36 0.4× | 65 0.7× | 9 | 383 | ||
| Danial Jahantigh Iran | 13 | 85 0.6× | 129 0.9× | 103 0.9× | 42 0.4× | 26 0.3× | 29 | 340 | ||
| Maki Kusumi Japan | 8 | 280 2.0× | 229 1.7× | 176 1.5× | 79 0.8× | 93 1.0× | 12 | 556 | ||
| Katarzyna Rainczuk Australia | 11 | 111 0.8× | 143 1.0× | 84 0.7× | 33 0.3× | 117 1.3× | 14 | 297 | ||
| Johanna Prast Austria | 7 | 224 1.6× | 149 1.1× | 91 0.8× | 21 0.2× | 70 0.8× | 7 | 328 | ||
| H. Tamura Japan | 7 | 85 0.6× | 145 1.1× | 117 1.0× | 60 0.6× | 121 1.4× | 12 | 348 | ||
| R. Popovici Germany | 5 | 176 1.2× | 301 2.2× | 76 0.7× | 71 0.7× | 280 3.1× | 13 | 476 | ||
| Minzhi Gao China | 11 | 66 0.5× | 92 0.7× | 122 1.1× | 31 0.3× | 160 1.8× | 20 | 337 | ||
| Kanako Pryor‐Koishi Japan | 7 | 236 1.7× | 105 0.8× | 104 0.9× | 44 0.4× | 16 0.2× | 9 | 377 |
Countries citing papers authored by Mei‐Tsz Su
This map shows the geographic impact of Mei‐Tsz 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 Mei‐Tsz Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei‐Tsz Su more than expected).
Fields of papers citing papers by Mei‐Tsz Su
This network shows the impact of papers produced by Mei‐Tsz 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 Mei‐Tsz Su. The network helps show where Mei‐Tsz Su may publish in the future.
Co-authorship network of co-authors of Mei‐Tsz Su
This figure shows the co-authorship network connecting the top 25 collaborators of Mei‐Tsz Su. A scholar is included among the top collaborators of Mei‐Tsz 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 Mei‐Tsz Su. Mei‐Tsz 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.