Leonard Wu
About
In The Last Decade
Leonard Wu
22 papers receiving 2.8k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Leonard Wu United Kingdom | 20 | 2.7k | 793 | 597 | 406 | 313 | 22 | 2.8k | ||
| Joshua A. Sommers United States | 33 | 2.6k 1.0× | 796 1.0× | 436 0.7× | 362 0.9× | 127 0.4× | 57 | 2.8k | ||
| Julia Karow United Kingdom | 9 | 2.0k 0.7× | 579 0.7× | 418 0.7× | 257 0.6× | 181 0.6× | 12 | 2.1k | ||
| Stephen Van Komen United States | 22 | 2.7k 1.0× | 575 0.7× | 327 0.5× | 535 1.3× | 219 0.7× | 25 | 2.8k | ||
| Giordano Liberi Italy | 27 | 4.2k 1.5× | 892 1.1× | 491 0.8× | 805 2.0× | 879 2.8× | 38 | 4.4k | ||
| Neal Sugawara United States | 26 | 3.3k 1.2× | 499 0.6× | 617 1.0× | 375 0.9× | 302 1.0× | 32 | 3.5k | ||
| Eun Yong Shim United States | 19 | 2.4k 0.9× | 347 0.4× | 299 0.5× | 464 1.1× | 240 0.8× | 26 | 2.6k | ||
| Matthew J. Neale United Kingdom | 21 | 3.0k 1.1× | 386 0.5× | 581 1.0× | 516 1.3× | 398 1.3× | 33 | 3.2k | ||
| Kevin Hiom United Kingdom | 21 | 2.6k 0.9× | 414 0.5× | 275 0.5× | 583 1.4× | 167 0.5× | 36 | 3.0k | ||
| Risa Kitagawa United States | 18 | 1.8k 0.7× | 342 0.4× | 259 0.4× | 455 1.1× | 455 1.5× | 34 | 2.1k | ||
| James Hejna United States | 16 | 1.8k 0.7× | 515 0.6× | 213 0.4× | 294 0.7× | 256 0.8× | 23 | 1.9k |
Countries citing papers authored by Leonard Wu
This map shows the geographic impact of Leonard 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 Leonard Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonard Wu more than expected).
Fields of papers citing papers by Leonard Wu
This network shows the impact of papers produced by Leonard 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 Leonard Wu. The network helps show where Leonard Wu may publish in the future.
Co-authorship network of co-authors of Leonard Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Leonard Wu. A scholar is included among the top collaborators of Leonard 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 Leonard Wu. Leonard 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.