Mian-Ying Wang
About
In The Last Decade
Mian-Ying Wang
8 papers receiving 271 citations
Peers
Comparison fields: 5 of 55
- Complementary and alternative medicine 152
- Toxicology 96
- Pharmacology 76
- Biochemistry 65
- Molecular Biology 56
Countries citing papers authored by Mian-Ying Wang
This map shows the geographic impact of Mian-Ying Wang'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 Mian-Ying Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mian-Ying Wang more than expected).
Fields of papers citing papers by Mian-Ying Wang
This network shows the impact of papers produced by Mian-Ying Wang. 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 Mian-Ying Wang. The network helps show where Mian-Ying Wang may publish in the future.
Co-authorship network of co-authors of Mian-Ying Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Mian-Ying Wang. A scholar is included among the top collaborators of Mian-Ying Wang 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 Mian-Ying Wang. Mian-Ying Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 22 | |
| 3 | 26 | |
| 4 | 44 | |
| 5 | 41 | |
| 6 | 53 | |
| 7 | 84 | |
| 8 | 26 |
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.