Yao-Yun Liang
About
In The Last Decade
Yao-Yun Liang
20 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 1.2k
- Oncology 345
- Cancer Research 236
- Genetics 145
- Cell Biology 137
Countries citing papers authored by Yao-Yun Liang
This map shows the geographic impact of Yao-Yun Liang'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 Yao-Yun Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao-Yun Liang more than expected).
Fields of papers citing papers by Yao-Yun Liang
This network shows the impact of papers produced by Yao-Yun Liang. 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 Yao-Yun Liang. The network helps show where Yao-Yun Liang may publish in the future.
Co-authorship network of co-authors of Yao-Yun Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Yao-Yun Liang. A scholar is included among the top collaborators of Yao-Yun Liang 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 Yao-Yun Liang. Yao-Yun Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 26 | |
| 3 | 15 | |
| 4 | TGF-β induction of FGF-2 expression in stromal cells requires integrated smad3 and MAPK pathways. | 17 |
| 5 | 124 | |
| 6 | 22 | |
| 7 | 61 | |
| 8 | 54 | |
| 9 | 55 | |
| 10 | 129 | |
| 11 | 83 | |
| 12 | 75 | |
| 13 | 66 | |
| 14 | 140 | |
| 15 | 43 | |
| 16 | 3 | |
| 17 | 112 | |
| 18 | 155 | |
| 19 | 80 | |
| 20 | 193 |
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.