Xiaohu Tang
About
In The Last Decade
Xiaohu Tang
40 papers receiving 2.4k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Xiaohu Tang United States | 28 | 1.8k | 1.1k | 516 | 281 | 212 | 40 | 2.4k | ||
| Rafael Malagoli Rocha Brazil | 18 | 1.5k 0.9× | 1.0k 1.0× | 639 1.2× | 244 0.9× | 152 0.7× | 49 | 2.2k | ||
| Anna M. Puzio‐Kuter United States | 14 | 1.7k 1.0× | 920 0.9× | 606 1.2× | 240 0.9× | 121 0.6× | 23 | 2.3k | ||
| Paolo Gandellini Italy | 31 | 2.2k 1.3× | 1.7k 1.6× | 527 1.0× | 358 1.3× | 205 1.0× | 62 | 2.9k | ||
| Xiaoli Wu China | 30 | 1.8k 1.0× | 741 0.7× | 438 0.8× | 206 0.7× | 320 1.5× | 82 | 2.8k | ||
| Sumin Kang United States | 26 | 2.3k 1.3× | 1.4k 1.3× | 487 0.9× | 245 0.9× | 133 0.6× | 51 | 3.1k | ||
| Brian F. Clem United States | 25 | 2.0k 1.2× | 1.6k 1.5× | 594 1.2× | 178 0.6× | 136 0.6× | 52 | 2.8k | ||
| Nina V. Chaika United States | 22 | 1.1k 0.6× | 662 0.6× | 661 1.3× | 180 0.6× | 227 1.1× | 32 | 1.8k | ||
| Xingwu Wang China | 19 | 1.6k 0.9× | 1.4k 1.3× | 459 0.9× | 210 0.7× | 78 0.4× | 35 | 2.4k | ||
| Lindsey K. Boroughs United States | 7 | 1.5k 0.9× | 1.2k 1.1× | 271 0.5× | 304 1.1× | 141 0.7× | 8 | 2.1k | ||
| Naoharu Takano Japan | 23 | 1.3k 0.8× | 978 0.9× | 595 1.2× | 159 0.6× | 129 0.6× | 45 | 2.5k |
Countries citing papers authored by Xiaohu Tang
This map shows the geographic impact of Xiaohu Tang'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 Xiaohu Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohu Tang more than expected).
Fields of papers citing papers by Xiaohu Tang
This network shows the impact of papers produced by Xiaohu Tang. 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 Xiaohu Tang. The network helps show where Xiaohu Tang may publish in the future.
Co-authorship network of co-authors of Xiaohu Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohu Tang. A scholar is included among the top collaborators of Xiaohu Tang 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 Xiaohu Tang. Xiaohu Tang 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.