Yeke Wu
About
In The Last Decade
Yeke Wu
18 papers receiving 321 citations
Peers
Comparison fields: 5 of 70
- Molecular Biology 139
- Cancer Research 110
- Genetics 47
- Immunology 45
- Reproductive Medicine 40
Countries citing papers authored by Yeke Wu
This map shows the geographic impact of Yeke 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 Yeke Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeke Wu more than expected).
Fields of papers citing papers by Yeke Wu
This network shows the impact of papers produced by Yeke 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 Yeke Wu. The network helps show where Yeke Wu may publish in the future.
Co-authorship network of co-authors of Yeke Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Yeke Wu. A scholar is included among the top collaborators of Yeke 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 Yeke Wu. Yeke 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 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 68 | |
| 11 | 5 | |
| 12 | 23 | |
| 13 | 26 | |
| 14 | 3 | |
| 15 | 12 | |
| 16 | 62 | |
| 17 | 21 | |
| 18 | 15 | |
| 19 | 45 | |
| 20 | 28 |
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.