Pengxia Wan
About
In The Last Decade
Pengxia Wan
46 papers receiving 830 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Pengxia Wan China | 19 | 403 | 271 | 165 | 149 | 148 | 54 | 846 | ||
| Xiaoran Wang China | 19 | 324 0.8× | 290 1.1× | 196 1.2× | 103 0.7× | 309 2.1× | 58 | 915 | ||
| Szu‐Yu Chen United States | 24 | 1.1k 2.7× | 604 2.2× | 111 0.7× | 244 1.6× | 359 2.4× | 45 | 1.7k | ||
| Céline Auxenfans France | 19 | 227 0.6× | 113 0.4× | 60 0.4× | 206 1.4× | 168 1.1× | 50 | 963 | ||
| Ashkan Pirouzmanesh United States | 11 | 256 0.6× | 131 0.5× | 193 1.2× | 111 0.7× | 101 0.7× | 12 | 606 | ||
| Eliška Javorková Czechia | 15 | 265 0.7× | 105 0.4× | 37 0.2× | 87 0.6× | 164 1.1× | 35 | 646 | ||
| Peifang Xu China | 12 | 127 0.3× | 48 0.2× | 106 0.6× | 81 0.5× | 143 1.0× | 39 | 650 | ||
| A. Berta Hungary | 14 | 111 0.3× | 90 0.3× | 175 1.1× | 118 0.8× | 121 0.8× | 58 | 556 | ||
| JaeSang Ko South Korea | 15 | 131 0.3× | 42 0.2× | 208 1.3× | 79 0.5× | 126 0.9× | 51 | 601 | ||
| Keiko Kudoh Japan | 12 | 179 0.4× | 133 0.5× | 16 0.1× | 109 0.7× | 136 0.9× | 36 | 732 | ||
| Yu-Hui Huang United States | 11 | 125 0.3× | 64 0.2× | 45 0.3× | 79 0.5× | 140 0.9× | 26 | 514 |
Countries citing papers authored by Pengxia Wan
This map shows the geographic impact of Pengxia Wan'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 Pengxia Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengxia Wan more than expected).
Fields of papers citing papers by Pengxia Wan
This network shows the impact of papers produced by Pengxia Wan. 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 Pengxia Wan. The network helps show where Pengxia Wan may publish in the future.
Co-authorship network of co-authors of Pengxia Wan
This figure shows the co-authorship network connecting the top 25 collaborators of Pengxia Wan. A scholar is included among the top collaborators of Pengxia Wan 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 Pengxia Wan. Pengxia Wan 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.