Nian‐Feng Wan
About
In The Last Decade
Nian‐Feng Wan
66 papers receiving 1.1k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Nian‐Feng Wan China | 18 | 445 | 379 | 322 | 268 | 107 | 69 | 1.1k | ||
| Marco Barzman France | 7 | 394 0.9× | 523 1.4× | 197 0.6× | 117 0.4× | 112 1.0× | 10 | 990 | ||
| Graham S. Begg United Kingdom | 16 | 271 0.6× | 629 1.7× | 210 0.7× | 128 0.5× | 205 1.9× | 45 | 1.1k | ||
| Randa Jabbour United States | 16 | 309 0.7× | 383 1.0× | 149 0.5× | 84 0.3× | 130 1.2× | 36 | 697 | ||
| Julie E. Doll United States | 11 | 166 0.4× | 582 1.5× | 253 0.8× | 124 0.5× | 184 1.7× | 21 | 1.1k | ||
| Peter Sutton United Kingdom | 12 | 291 0.7× | 476 1.3× | 344 1.1× | 84 0.3× | 78 0.7× | 18 | 844 | ||
| J. Franklin Egan United States | 12 | 186 0.4× | 850 2.2× | 289 0.9× | 232 0.9× | 135 1.3× | 17 | 1.2k | ||
| Sari Himanen Finland | 16 | 291 0.7× | 686 1.8× | 378 1.2× | 102 0.4× | 120 1.1× | 32 | 984 | ||
| Menelaos C. Stavrinides Cyprus | 21 | 656 1.5× | 705 1.9× | 286 0.9× | 170 0.6× | 219 2.0× | 49 | 1.3k | ||
| Ho Van Chien Philippines | 16 | 319 0.7× | 350 0.9× | 143 0.4× | 124 0.5× | 82 0.8× | 31 | 767 | ||
| Ivana Pajač Živković Croatia | 13 | 533 1.2× | 521 1.4× | 293 0.9× | 143 0.5× | 252 2.4× | 73 | 1.3k |
Countries citing papers authored by Nian‐Feng Wan
This map shows the geographic impact of Nian‐Feng 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 Nian‐Feng Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nian‐Feng Wan more than expected).
Fields of papers citing papers by Nian‐Feng Wan
This network shows the impact of papers produced by Nian‐Feng 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 Nian‐Feng Wan. The network helps show where Nian‐Feng Wan may publish in the future.
Co-authorship network of co-authors of Nian‐Feng Wan
This figure shows the co-authorship network connecting the top 25 collaborators of Nian‐Feng Wan. A scholar is included among the top collaborators of Nian‐Feng 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 Nian‐Feng Wan. Nian‐Feng 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.