Yue Tan
About
In The Last Decade
Yue Tan
29 papers receiving 593 citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 235
- Cancer Research 138
- Health, Toxicology and Mutagenesis 90
- Epidemiology 89
- Oncology 70
Countries citing papers authored by Yue Tan
This map shows the geographic impact of Yue Tan'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 Yue Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yue Tan more than expected).
Fields of papers citing papers by Yue Tan
This network shows the impact of papers produced by Yue Tan. 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 Yue Tan. The network helps show where Yue Tan may publish in the future.
Co-authorship network of co-authors of Yue Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Yue Tan. A scholar is included among the top collaborators of Yue Tan 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 Yue Tan. Yue Tan 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | 34 | |
| 12 | 19 | |
| 13 | 60 | |
| 14 | 16 | |
| 15 | 7 | |
| 16 | 18 | |
| 17 | 98 | |
| 18 | 25 | |
| 19 | 18 | |
| 20 | 8 |
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.