Na Pi
About
In The Last Decade
Na Pi
16 papers receiving 723 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Na Pi Hong Kong | 11 | 334 | 269 | 239 | 191 | 133 | 16 | 731 | ||
| Yong-Feng Wang China | 17 | 392 1.2× | 366 1.4× | 223 0.9× | 106 0.6× | 98 0.7× | 49 | 841 | ||
| Kathrin Deiglmayr Germany | 4 | 384 1.1× | 324 1.2× | 109 0.5× | 49 0.3× | 127 1.0× | 7 | 663 | ||
| Lilit Vardanyan United States | 10 | 135 0.4× | 271 1.0× | 77 0.3× | 200 1.0× | 93 0.7× | 20 | 591 | ||
| Dongyao Sun China | 13 | 349 1.0× | 356 1.3× | 54 0.2× | 93 0.5× | 88 0.7× | 41 | 695 | ||
| Andrew T. Giguere United States | 13 | 368 1.1× | 414 1.5× | 89 0.4× | 63 0.3× | 118 0.9× | 15 | 649 | ||
| Cong Shi China | 14 | 139 0.4× | 232 0.9× | 178 0.7× | 441 2.3× | 58 0.4× | 40 | 781 | ||
| Jorge Paolini Venezuela | 10 | 103 0.3× | 235 0.9× | 111 0.5× | 107 0.6× | 79 0.6× | 43 | 571 | ||
| Melanie Shaw Australia | 11 | 172 0.5× | 356 1.3× | 101 0.4× | 361 1.9× | 77 0.6× | 18 | 745 | ||
| Pinhua Xia China | 12 | 272 0.8× | 238 0.9× | 46 0.2× | 120 0.6× | 114 0.9× | 43 | 630 | ||
| Nguyễn Thành-Nho Vietnam | 15 | 287 0.9× | 228 0.8× | 59 0.2× | 96 0.5× | 84 0.6× | 35 | 642 |
Countries citing papers authored by Na Pi
This map shows the geographic impact of Na Pi'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 Na Pi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Pi more than expected).
Fields of papers citing papers by Na Pi
This network shows the impact of papers produced by Na Pi. 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 Na Pi. The network helps show where Na Pi may publish in the future.
Co-authorship network of co-authors of Na Pi
This figure shows the co-authorship network connecting the top 25 collaborators of Na Pi. A scholar is included among the top collaborators of Na Pi 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 Na Pi. Na Pi 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.