Ya-Fang Mei
About
In The Last Decade
Ya-Fang Mei
28 papers receiving 562 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Ya-Fang Mei Sweden | 15 | 466 | 327 | 233 | 173 | 105 | 28 | 573 | ||
| Alexander T. Baker United Kingdom | 11 | 277 0.6× | 209 0.6× | 178 0.8× | 106 0.6× | 39 0.4× | 19 | 431 | ||
| Jesse K. Mackey United States | 15 | 380 0.8× | 407 1.2× | 201 0.9× | 145 0.8× | 99 0.9× | 19 | 675 | ||
| Murty Chengalvala Canada | 14 | 292 0.6× | 227 0.7× | 57 0.2× | 151 0.9× | 159 1.5× | 26 | 576 | ||
| Kristina Lindman Sweden | 11 | 329 0.7× | 207 0.6× | 118 0.5× | 137 0.8× | 83 0.8× | 12 | 361 | ||
| Olivier Billet France | 7 | 181 0.4× | 286 0.9× | 131 0.6× | 82 0.5× | 266 2.5× | 10 | 532 | ||
| Xiao‐Mei Rao United States | 12 | 281 0.6× | 294 0.9× | 149 0.6× | 75 0.4× | 82 0.8× | 24 | 473 | ||
| Mathias F. Leber Germany | 9 | 338 0.7× | 140 0.4× | 171 0.7× | 82 0.5× | 112 1.1× | 13 | 416 | ||
| B Taródi Hungary | 10 | 165 0.4× | 187 0.6× | 102 0.4× | 94 0.5× | 116 1.1× | 20 | 395 | ||
| Christian Grossardt Germany | 9 | 531 1.1× | 203 0.6× | 360 1.5× | 108 0.6× | 146 1.4× | 10 | 645 | ||
| Vanessa da Silva Garcia Canada | 6 | 298 0.6× | 153 0.5× | 242 1.0× | 59 0.3× | 71 0.7× | 16 | 427 |
Countries citing papers authored by Ya-Fang Mei
This map shows the geographic impact of Ya-Fang Mei'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 Ya-Fang Mei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya-Fang Mei more than expected).
Fields of papers citing papers by Ya-Fang Mei
This network shows the impact of papers produced by Ya-Fang Mei. 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 Ya-Fang Mei. The network helps show where Ya-Fang Mei may publish in the future.
Co-authorship network of co-authors of Ya-Fang Mei
This figure shows the co-authorship network connecting the top 25 collaborators of Ya-Fang Mei. A scholar is included among the top collaborators of Ya-Fang Mei 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 Ya-Fang Mei. Ya-Fang Mei 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.