Suo Tu
About
In The Last Decade
Suo Tu
19 papers receiving 412 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Suo Tu Germany | 11 | 229 | 221 | 173 | 115 | 58 | 21 | 423 | ||
| Changbong Yeon South Korea | 9 | 238 1.0× | 221 1.0× | 219 1.3× | 139 1.2× | 62 1.1× | 13 | 423 | ||
| Evgenia P. Gilshteyn Finland | 12 | 215 0.9× | 178 0.8× | 281 1.6× | 170 1.5× | 130 2.2× | 14 | 467 | ||
| Xiaonan Yang China | 10 | 110 0.5× | 84 0.4× | 173 1.0× | 126 1.1× | 43 0.7× | 25 | 352 | ||
| Zhiwei Yang China | 6 | 290 1.3× | 100 0.5× | 237 1.4× | 138 1.2× | 55 0.9× | 16 | 417 | ||
| Ishac Kandas Egypt | 14 | 247 1.1× | 138 0.6× | 237 1.4× | 156 1.4× | 48 0.8× | 52 | 534 | ||
| Ghulam Abbas China | 7 | 241 1.1× | 151 0.7× | 211 1.2× | 145 1.3× | 90 1.6× | 10 | 448 | ||
| Yu Long China | 9 | 243 1.1× | 107 0.5× | 307 1.8× | 116 1.0× | 35 0.6× | 15 | 449 | ||
| Mélanie Lagrange France | 4 | 478 2.1× | 148 0.7× | 438 2.5× | 170 1.5× | 87 1.5× | 5 | 614 | ||
| Min‐Gi Kwak South Korea | 10 | 373 1.6× | 146 0.7× | 274 1.6× | 242 2.1× | 55 0.9× | 28 | 570 | ||
| Kwonwoo Shin South Korea | 14 | 213 0.9× | 188 0.9× | 285 1.6× | 278 2.4× | 63 1.1× | 24 | 546 |
Countries citing papers authored by Suo Tu
This map shows the geographic impact of Suo Tu'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 Suo Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suo Tu more than expected).
Fields of papers citing papers by Suo Tu
This network shows the impact of papers produced by Suo Tu. 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 Suo Tu. The network helps show where Suo Tu may publish in the future.
Co-authorship network of co-authors of Suo Tu
This figure shows the co-authorship network connecting the top 25 collaborators of Suo Tu. A scholar is included among the top collaborators of Suo Tu 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 Suo Tu. Suo Tu 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.