Zhanyao Tan
About
In The Last Decade
Zhanyao Tan
10 papers receiving 455 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 367
- Cancer Research 210
- Immunology 76
- Oncology 72
- Pathology and Forensic Medicine 54
Countries citing papers authored by Zhanyao Tan
This map shows the geographic impact of Zhanyao 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 Zhanyao Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhanyao Tan more than expected).
Fields of papers citing papers by Zhanyao Tan
This network shows the impact of papers produced by Zhanyao 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 Zhanyao Tan. The network helps show where Zhanyao Tan may publish in the future.
Co-authorship network of co-authors of Zhanyao Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Zhanyao Tan. A scholar is included among the top collaborators of Zhanyao 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 Zhanyao Tan. Zhanyao 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 | 47 | |
| 2 | 41 | |
| 3 | 36 | |
| 4 | 45 | |
| 5 | 64 | |
| 6 | 20 | |
| 7 | 66 | |
| 8 | 23 | |
| 9 | 68 | |
| 10 | 51 |
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.