Meixia Shan
About
In The Last Decade
Meixia Shan
42 papers receiving 2.0k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Meixia Shan China | 24 | 1.5k | 1.0k | 579 | 435 | 434 | 44 | 2.1k | ||
| Francesco M. Benedetti United States | 21 | 1.3k 0.9× | 1.3k 1.3× | 895 1.5× | 656 1.5× | 578 1.3× | 32 | 2.6k | ||
| Luis Francisco Villalobos Switzerland | 27 | 1.1k 0.8× | 1.1k 1.1× | 415 0.7× | 834 1.9× | 875 2.0× | 54 | 2.2k | ||
| Qihui Qian United States | 14 | 1.1k 0.7× | 1.0k 1.0× | 935 1.6× | 572 1.3× | 345 0.8× | 19 | 2.4k | ||
| Fanyan Chen China | 14 | 1.2k 0.9× | 813 0.8× | 369 0.6× | 276 0.6× | 117 0.3× | 19 | 1.9k | ||
| Yingzhen Wu China | 24 | 1.4k 1.0× | 1.4k 1.4× | 685 1.2× | 316 0.7× | 583 1.3× | 47 | 2.2k | ||
| Madhavan Karunakaran Saudi Arabia | 16 | 747 0.5× | 780 0.8× | 357 0.6× | 417 1.0× | 542 1.2× | 19 | 1.4k | ||
| Zhuonan Song United States | 15 | 1.5k 1.0× | 962 0.9× | 492 0.8× | 934 2.1× | 1.1k 2.4× | 18 | 2.3k | ||
| Bahman Elyassi United States | 15 | 1.1k 0.8× | 911 0.9× | 929 1.6× | 335 0.8× | 291 0.7× | 16 | 1.9k | ||
| Salman Shahid United Kingdom | 18 | 556 0.4× | 820 0.8× | 529 0.9× | 276 0.6× | 479 1.1× | 26 | 1.3k | ||
| Marek Lanč Czechia | 22 | 1.2k 0.8× | 2.0k 1.9× | 516 0.9× | 293 0.7× | 615 1.4× | 30 | 2.3k |
Countries citing papers authored by Meixia Shan
This map shows the geographic impact of Meixia Shan'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 Meixia Shan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meixia Shan more than expected).
Fields of papers citing papers by Meixia Shan
This network shows the impact of papers produced by Meixia Shan. 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 Meixia Shan. The network helps show where Meixia Shan may publish in the future.
Co-authorship network of co-authors of Meixia Shan
This figure shows the co-authorship network connecting the top 25 collaborators of Meixia Shan. A scholar is included among the top collaborators of Meixia Shan 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 Meixia Shan. Meixia Shan 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.