Yujing Shu
About
In The Last Decade
Yujing Shu
11 papers receiving 332 citations
Peers
Comparison fields: 5 of 55
- Nephrology 196
- Molecular Biology 161
- Genetics 65
- Surgery 44
- Endocrinology, Diabetes and Metabolism 33
Countries citing papers authored by Yujing Shu
This map shows the geographic impact of Yujing Shu'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 Yujing Shu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yujing Shu more than expected).
Fields of papers citing papers by Yujing Shu
This network shows the impact of papers produced by Yujing Shu. 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 Yujing Shu. The network helps show where Yujing Shu may publish in the future.
Co-authorship network of co-authors of Yujing Shu
This figure shows the co-authorship network connecting the top 25 collaborators of Yujing Shu. A scholar is included among the top collaborators of Yujing Shu 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 Yujing Shu. Yujing Shu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 17 | |
| 5 | 7 | |
| 6 | 15 | |
| 7 | 15 | |
| 8 | 7 | |
| 9 | 6 | |
| 10 | 178 | |
| 11 | 11 | |
| 12 | 29 | |
| 13 | 60 |
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.