Maw‐Chang Sheen
About
In The Last Decade
Maw‐Chang Sheen
18 papers receiving 429 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Maw‐Chang Sheen Taiwan | 9 | 192 | 127 | 118 | 110 | 65 | 20 | 448 | ||
| Antje Mohs Germany | 10 | 158 0.8× | 215 1.7× | 66 0.6× | 52 0.5× | 196 3.0× | 16 | 672 | ||
| Zohreh Jadali Iran | 12 | 72 0.4× | 61 0.5× | 84 0.7× | 30 0.3× | 17 0.3× | 41 | 373 | ||
| Takehisa Suekane Japan | 11 | 137 0.7× | 89 0.7× | 72 0.6× | 88 0.8× | 100 1.5× | 28 | 401 | ||
| Xianjun Lao China | 15 | 74 0.4× | 177 1.4× | 38 0.3× | 94 0.9× | 55 0.8× | 29 | 406 | ||
| Zhao Yin-nong China | 10 | 77 0.4× | 156 1.2× | 85 0.7× | 114 1.0× | 99 1.5× | 24 | 406 | ||
| Llewellyn Spargo Australia | 11 | 40 0.2× | 72 0.6× | 29 0.2× | 41 0.4× | 24 0.4× | 22 | 406 | ||
| P Bioulac France | 11 | 84 0.4× | 63 0.5× | 34 0.3× | 41 0.4× | 65 1.0× | 45 | 397 | ||
| Elisabetta Morello Italy | 8 | 232 1.2× | 112 0.9× | 128 1.1× | 29 0.3× | 58 0.9× | 15 | 381 | ||
| Agata Surdacka Poland | 11 | 69 0.4× | 49 0.4× | 21 0.2× | 63 0.6× | 16 0.2× | 35 | 296 |
Countries citing papers authored by Maw‐Chang Sheen
This map shows the geographic impact of Maw‐Chang Sheen'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 Maw‐Chang Sheen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maw‐Chang Sheen more than expected).
Fields of papers citing papers by Maw‐Chang Sheen
This network shows the impact of papers produced by Maw‐Chang Sheen. 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 Maw‐Chang Sheen. The network helps show where Maw‐Chang Sheen may publish in the future.
Co-authorship network of co-authors of Maw‐Chang Sheen
This figure shows the co-authorship network connecting the top 25 collaborators of Maw‐Chang Sheen. A scholar is included among the top collaborators of Maw‐Chang Sheen 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 Maw‐Chang Sheen. Maw‐Chang Sheen 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.