Rui-Yun Wu
About
In The Last Decade
Rui-Yun Wu
10 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Molecular Biology 1.5k
- Oncology 380
- Pathology and Forensic Medicine 218
- Cancer Research 162
- Immunology 112
Countries citing papers authored by Rui-Yun Wu
This map shows the geographic impact of Rui-Yun Wu'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 Rui-Yun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui-Yun Wu more than expected).
Fields of papers citing papers by Rui-Yun Wu
This network shows the impact of papers produced by Rui-Yun Wu. 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 Rui-Yun Wu. The network helps show where Rui-Yun Wu may publish in the future.
Co-authorship network of co-authors of Rui-Yun Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Rui-Yun Wu. A scholar is included among the top collaborators of Rui-Yun Wu 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 Rui-Yun Wu. Rui-Yun Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 15 | |
| 4 | 1 | |
| 5 | 55 | |
| 6 | 451 | |
| 7 | 185 | |
| 8 | 112 | |
| 9 | Receptor-associated Mad homologues synergize as effectors of the TGF-β response breakdown → | 760 |
| 10 | 91 |
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.