Mei‐Lin Wu
About
In The Last Decade
Mei‐Lin Wu
107 papers receiving 2.6k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mei‐Lin Wu China | 31 | 675 | 649 | 577 | 416 | 395 | 110 | 2.7k | ||
| Jingping Zhang China | 30 | 615 0.9× | 517 0.8× | 721 1.2× | 202 0.5× | 133 0.3× | 113 | 2.3k | ||
| Hao Jiang China | 33 | 354 0.5× | 646 1.0× | 199 0.3× | 396 1.0× | 337 0.9× | 154 | 3.8k | ||
| Tae‐Wan Kim South Korea | 36 | 374 0.6× | 1.6k 2.4× | 599 1.0× | 629 1.5× | 113 0.3× | 175 | 5.5k | ||
| Andrew R. Juhl United States | 27 | 370 0.5× | 484 0.7× | 532 0.9× | 542 1.3× | 144 0.4× | 55 | 1.9k | ||
| José María Monserrat Brazil | 44 | 1.1k 1.7× | 839 1.3× | 553 1.0× | 259 0.6× | 151 0.4× | 256 | 6.9k | ||
| Theis Kragh Denmark | 24 | 525 0.8× | 172 0.3× | 886 1.5× | 267 0.6× | 122 0.3× | 71 | 1.7k | ||
| Miguel M. Santos Portugal | 43 | 346 0.5× | 1.1k 1.7× | 217 0.4× | 431 1.0× | 188 0.5× | 199 | 6.2k | ||
| Stefan Gerber United States | 34 | 630 0.9× | 1.8k 2.8× | 115 0.2× | 730 1.8× | 177 0.4× | 77 | 4.5k | ||
| Jean‐Charles Massabuau France | 33 | 1.3k 2.0× | 160 0.2× | 649 1.1× | 139 0.3× | 105 0.3× | 106 | 3.5k | ||
| Nathaniel L. Scholz United States | 55 | 1.5k 2.3× | 672 1.0× | 526 0.9× | 357 0.9× | 392 1.0× | 109 | 8.9k |
Countries citing papers authored by Mei‐Lin Wu
This map shows the geographic impact of Mei‐Lin Wu'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 Mei‐Lin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei‐Lin Wu more than expected).
Fields of papers citing papers by Mei‐Lin Wu
This network shows the impact of papers produced by Mei‐Lin Wu. 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 Mei‐Lin Wu. The network helps show where Mei‐Lin Wu may publish in the future.
Co-authorship network of co-authors of Mei‐Lin Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Mei‐Lin Wu. A scholar is included among the top collaborators of Mei‐Lin Wu 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 Mei‐Lin Wu. Mei‐Lin Wu 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.