Kaiying Yu
About
In The Last Decade
Kaiying Yu
10 papers receiving 163 citations
Peers
Comparison fields: 5 of 48
- Physiology 75
- Oncology 63
- Epidemiology 39
- Surgery 34
- Geriatrics and Gerontology 31
Countries citing papers authored by Kaiying Yu
This map shows the geographic impact of Kaiying Yu'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 Kaiying Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiying Yu more than expected).
Fields of papers citing papers by Kaiying Yu
This network shows the impact of papers produced by Kaiying Yu. 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 Kaiying Yu. The network helps show where Kaiying Yu may publish in the future.
Co-authorship network of co-authors of Kaiying Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Kaiying Yu. A scholar is included among the top collaborators of Kaiying Yu 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 Kaiying Yu. Kaiying Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | In silico development and in vitro validation of a novel five-gene signature for prognostic prediction in colon cancer. | 3 |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 43 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 15 | |
| 8 | 71 | |
| 9 | 7 | |
| 10 | 5 |
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.