Maodu Yan
About
In The Last Decade
Maodu Yan
86 papers receiving 2.4k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Maodu Yan China | 28 | 1.4k | 1.4k | 597 | 532 | 529 | 89 | 2.5k | ||
| Shuang Dai China | 19 | 1.3k 1.0× | 1.2k 0.9× | 708 1.2× | 418 0.8× | 268 0.5× | 55 | 2.4k | ||
| Jinbo Zan China | 24 | 1.2k 0.8× | 713 0.5× | 507 0.8× | 507 1.0× | 431 0.8× | 83 | 1.8k | ||
| Qingquan Meng China | 22 | 1.2k 0.8× | 999 0.7× | 568 1.0× | 332 0.6× | 213 0.4× | 39 | 2.0k | ||
| Masayuki Torii Japan | 25 | 1.7k 1.2× | 1.1k 0.8× | 285 0.5× | 542 1.0× | 814 1.5× | 73 | 2.4k | ||
| Zhaojie Guo China | 19 | 1.1k 0.8× | 894 0.6× | 680 1.1× | 361 0.7× | 146 0.3× | 38 | 1.9k | ||
| Conall Mac Niocaill United Kingdom | 29 | 1.5k 1.1× | 3.0k 2.1× | 1.3k 2.2× | 533 1.0× | 958 1.8× | 77 | 4.1k | ||
| Niels Abrahamsen Denmark | 22 | 1.0k 0.8× | 1.6k 1.1× | 568 1.0× | 236 0.4× | 756 1.4× | 87 | 2.4k | ||
| Majie Fan United States | 22 | 1.1k 0.8× | 941 0.7× | 612 1.0× | 397 0.7× | 85 0.2× | 62 | 2.0k | ||
| John W. Hillhouse United States | 22 | 922 0.7× | 1.2k 0.9× | 501 0.8× | 187 0.4× | 403 0.8× | 48 | 1.9k | ||
| Fabio Speranza Italy | 35 | 1.3k 0.9× | 3.3k 2.4× | 317 0.5× | 557 1.0× | 795 1.5× | 143 | 4.0k |
Countries citing papers authored by Maodu Yan
This map shows the geographic impact of Maodu Yan'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 Maodu Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maodu Yan more than expected).
Fields of papers citing papers by Maodu Yan
This network shows the impact of papers produced by Maodu Yan. 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 Maodu Yan. The network helps show where Maodu Yan may publish in the future.
Co-authorship network of co-authors of Maodu Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Maodu Yan. A scholar is included among the top collaborators of Maodu Yan 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 Maodu Yan. Maodu Yan 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.